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Title: GitHub - Scientific-Computing-Lab/ParallelCodeEstimation: Can Large Language Models Predict Parallel Code Performance?

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Description: Can Large Language Models Predict Parallel Code Performance? - Scientific-Computing-Lab/ParallelCodeEstimation

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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bh-cuda
https://userweb.cs.txstate.edu/~burtscher/research/ECL-BH/https://userweb.cs.txstate.edu/~burtscher/research/ECL-BH/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bilateral-cuda
https://github.com/jstraub/cudaPclhttps://github.com/jstraub/cudaPcl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bincount-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#binomial-cuda
https://docs.nvidia.com/cuda/cuda-samples/index.htmlhttps://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bitcracker-cuda
https://github.com/e-ago/bitcracker.githttps://github.com/e-ago/bitcracker.git
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bitonic-sort-sycl
https://github.com/oneapi-src/oneAPI-samples/tree/master/DirectProgramming/https://github.com/oneapi-src/oneAPI-samples/tree/master/DirectProgramming/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bitpacking-cuda
https://github.com/NVIDIA/nvcomphttps://github.com/NVIDIA/nvcomp
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bitpermute-cuda
https://github.com/supranational/spparkhttps://github.com/supranational/sppark
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#black-scholes-cuda
https://github.com/cavazos-lab/FinanceBenchhttps://github.com/cavazos-lab/FinanceBench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blas-dot-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blas-fp8gemm-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blas-gemm-sycl
https://www.intel.com/content/www/us/en/docs/onemkl/developer-reference-dpcpp/2025-0/gemm.htmlhttps://www.intel.com/content/www/us/en/docs/onemkl/developer-reference-dpcpp/2025-0/gemm.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blas-gemmbatched-cuda
https://github.com/pyrovski/cublasSgemmBatched-examplehttps://github.com/pyrovski/cublasSgemmBatched-example
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blas-gemmstridedbatched-cuda
https://github.com/pyrovski/cublasSgemmBatched-examplehttps://github.com/pyrovski/cublasSgemmBatched-example
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blas-gemmex-cuda
https://godweiyang.com/2021/08/24/gemm/https://godweiyang.com/2021/08/24/gemm/
https://github.com/UoB-HPC/abc-pvc-deepdivehttps://github.com/UoB-HPC/abc-pvc-deepdive
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blas-gemmex2-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blockaccess-cuda
https://github.com/NVIDIA/cubhttps://github.com/NVIDIA/cub
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#blockexchange-cuda
https://github.com/NVIDIA/cubhttps://github.com/NVIDIA/cub
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bm3d-cuda
https://github.com/DawyD/bm3d-gpuhttps://github.com/DawyD/bm3d-gpu
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bn-cuda
https://github.com/OSU-STARLAB/UVM_benchmark/blob/master/non_UVM_benchmarkshttps://github.com/OSU-STARLAB/UVM_benchmark/blob/master/non_UVM_benchmarks
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bonds-cuda
https://github.com/cavazos-lab/FinanceBenchhttps://github.com/cavazos-lab/FinanceBench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#boxfilter-cuda
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bscan-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bsearch-cuda
https://www.sciencedirect.com/science/article/abs/pii/S0743731517302836https://www.sciencedirect.com/science/article/abs/pii/S0743731517302836
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bspline-vgh-openmp
https://github.com/QMCPACK/miniqmc/blob/OMP_offload/src/OpenMP/main.cpphttps://github.com/QMCPACK/miniqmc/blob/OMP_offload/src/OpenMP/main.cpp
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bsw-cuda
https://github.com/mgawan/ADEPThttps://github.com/mgawan/ADEPT
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#burger-openmp
https://github.com/soumyasen1809/OpenMP_C_12_steps_to_Navier_Stokeshttps://github.com/soumyasen1809/OpenMP_C_12_steps_to_Navier_Stokes
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#bwt-cuda
https://github.com/jedbrooke/cuda_bwthttps://github.com/jedbrooke/cuda_bwt
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#btree-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#car-cuda
https://github.com/sunwj/CARhttps://github.com/sunwj/CAR
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cbsfil-cuda
https://github.com/DannyRuijters/CubicInterpolationCUDAhttps://github.com/DannyRuijters/CubicInterpolationCUDA
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cc-cuda
https://userweb.cs.txstate.edu/~burtscher/research/ECL-CC/https://userweb.cs.txstate.edu/~burtscher/research/ECL-CC/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ccl-cuda
https://github.com/NVIDIA/ncclhttps://github.com/NVIDIA/nccl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ccs-cuda
https://github.com/abhatta3/Condition-dependent-Correlation-Subgroups-CCShttps://github.com/abhatta3/Condition-dependent-Correlation-Subgroups-CCS
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ccsd-trpdrv-c
https://github.com/jeffhammond/nwchem-ccsd-trpdrvhttps://github.com/jeffhammond/nwchem-ccsd-trpdrv
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ced-opencl
https://github.com/chai-benchmarks/chaihttps://github.com/chai-benchmarks/chai
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cfd-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#chacha20-c
https://github.com/983/ChaCha20https://github.com/983/ChaCha20
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#channelshuffle-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#channelsum-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#che-cuda
https://github.com/myousefi2016/Cahn-Hilliard-CUDAhttps://github.com/myousefi2016/Cahn-Hilliard-CUDA
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#chemv-cuda
https://repo.or.cz/ppcg.githttps://repo.or.cz/ppcg.git
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#chi2-cuda
https://web.njit.edu/~usman/courses/cs677_spring19/https://web.njit.edu/~usman/courses/cs677_spring19/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#clenergy-opencl
http://www.ks.uiuc.edu/Training/Workshop/GPU_Aug2010/resources/clenergy.tar.gzhttp://www.ks.uiuc.edu/Training/Workshop/GPU_Aug2010/resources/clenergy.tar.gz
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#clink-c
http://github.com/UCLA-VAST/CLINKhttp://github.com/UCLA-VAST/CLINK
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cm-cuda
https://pubmed.ncbi.nlm.nih.gov/24112435/https://pubmed.ncbi.nlm.nih.gov/24112435/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cmembench-cuda
https://github.com/ekondis/gpumembenchhttps://github.com/ekondis/gpumembench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cmp-cuda
https://github.com/hpg-cepetro/IPDPS-CRS-CMP-codehttps://github.com/hpg-cepetro/IPDPS-CRS-CMP-code
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cobahh-opencl
https://dl.acm.org/doi/10.1145/3307339.3343460https://dl.acm.org/doi/10.1145/3307339.3343460
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#collision-cuda
https://github.com/facebookarchive/fbcudahttps://github.com/facebookarchive/fbcuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#colorwheel-cc
https://vision.middlebury.edu/flow/code/flow-code/colorcode.cpphttps://vision.middlebury.edu/flow/code/flow-code/colorcode.cpp
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#columnarsolver-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#complex-cuda
https://github.com/tpn/cuda-samples/blob/master/v8.0/include/cuComplex.hhttps://github.com/tpn/cuda-samples/blob/master/v8.0/include/cuComplex.h
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#compute-score-opencl
https://www.intel.com/content/www/us/en/programmable/support/support-resources/design-examples/design-software/opencl/compute-score.htmlhttps://www.intel.com/content/www/us/en/programmable/support/support-resources/design-examples/design-software/opencl/compute-score.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#concat-cuda
https://github.com/bytedance/lightseqhttps://github.com/bytedance/lightseq
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#concurrentkernels-cuda
https://github.com/NVIDIA/cuda-samples/tree/master/Samples/0_Introduction/concurrentKernelshttps://github.com/NVIDIA/cuda-samples/tree/master/Samples/0_Introduction/concurrentKernels
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#contract-cuda
https://github.com/HyTruongSon/GraphFlowhttps://github.com/HyTruongSon/GraphFlow
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#conversion-sycl
intel/llvm#7195https://github.com/intel/llvm/issues/7195
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#convolution1d-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#convolution3d-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#convolutiondeformable-cuda
https://github.com/lucasjinreal/DCNv2_latesthttps://github.com/lucasjinreal/DCNv2_latest
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#convolutionseperable-opencl
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cooling-cuda
https://github.com/cholla-hydro/chollahttps://github.com/cholla-hydro/cholla
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#coordinates-cuda
https://github.com/rapidsai/cuspatialhttps://github.com/rapidsai/cuspatial
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#copy-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#crc64-openmp
https://trac.alcf.anl.gov/projects/hpcrc64/https://trac.alcf.anl.gov/projects/hpcrc64/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#cross-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#crossentropy-sycl
intel/llvm#5969https://github.com/intel/llvm/issues/5969
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#crs-cuda
https://www.comp.hkbu.edu.hk/~chxw/gcrs.htmlhttps://www.comp.hkbu.edu.hk/~chxw/gcrs.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#d2q9_bgk-sycl
https://github.com/WSJHawkins/ExploringSyclhttps://github.com/WSJHawkins/ExploringSycl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#d3q19_bgk-cuda
https://gitlab.com/unigehpfs/stlbmhttps://gitlab.com/unigehpfs/stlbm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#daphne-cuda
https://github.com/esa-tu-darmstadt/daphne-benchmarkhttps://github.com/esa-tu-darmstadt/daphne-benchmark
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#damage-opencl
https://github.com/alan-turing-institute/PeriPyhttps://github.com/alan-turing-institute/PeriPy
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dct8x8-opencl
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ddbp-cuda
https://github.com/LAVI-USP/DBT-Reconstructionhttps://github.com/LAVI-USP/DBT-Reconstruction
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#debayer-opencl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#degrid-cuda
https://github.com/NVIDIA/SKA-gpu-degridhttps://github.com/NVIDIA/SKA-gpu-degrid
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dense-embedding-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#depixel-cuda
https://github.com/yzhwang/depixelizationhttps://github.com/yzhwang/depixelization
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#deredundancy-sycl
https://github.com/JuZhenCS/gene-sequences-de-redundancyhttps://github.com/JuZhenCS/gene-sequences-de-redundancy
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#determinant-cuda
https://github.com/OrangeOwlSolutions/Linear-Algebrahttps://github.com/OrangeOwlSolutions/Linear-Algebra
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#diamond-opencl
https://github.com/bbuchfink/diamondhttps://github.com/bbuchfink/diamond
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dispatch-hip
https://github.com/ROCm-Developer-Tools/HIP-CPUhttps://github.com/ROCm-Developer-Tools/HIP-CPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#distort-cuda
https://github.com/Cuda-Chen/barrel-distortion-cudahttps://github.com/Cuda-Chen/barrel-distortion-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#divergence-cuda
https://github.com/E3SM-Project/divergence_cmdvsehttps://github.com/E3SM-Project/divergence_cmdvse
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#doh-cuda
https://github.com/rapidsai/cucimhttps://github.com/rapidsai/cucim
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dp-opencl
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dpid-cuda
https://github.com/mergian/dpidhttps://github.com/mergian/dpid
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dropout-cuda
https://github.com/pytorch/https://github.com/pytorch/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dslash-sycl
https://gitlab.com/NERSC/nersc-proxies/milc-dslashhttps://gitlab.com/NERSC/nersc-proxies/milc-dslash
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dxtc2-opencl
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dwconv-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#dwconv1d-cuda
https://github.com/BlinkDL/RWKV-CUDA/tree/mainhttps://github.com/BlinkDL/RWKV-CUDA/tree/main
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#easywave-cuda
https://git.gfz-potsdam.de/id2/geoperil/easyWavehttps://git.gfz-potsdam.de/id2/geoperil/easyWave
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ecdh-c
https://github.com/jaw566/ECDHhttps://github.com/jaw566/ECDH
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#egs-cuda
https://jonaslippuner.com/research/cuda-egs/https://jonaslippuner.com/research/cuda-egs/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#eigenvalue-opencl
https://github.com/OpenCL/AMD_APP_sampleshttps://github.com/OpenCL/AMD_APP_samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#eikonal-cuda
https://github.com/SCIInstitute/StructuredEikonalhttps://github.com/SCIInstitute/StructuredEikonal
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#entropy-cuda
https://lan-jing.github.io/parallel%20computing/system/entropy/https://lan-jing.github.io/parallel%20computing/system/entropy/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#epistasis-sycl
https://github.com/rafatcampos/bio-epistasis-detectionhttps://github.com/rafatcampos/bio-epistasis-detection
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ert-cuda
https://bitbucket.org/berkeleylab/cs-roofline-toolkit/src/master/https://bitbucket.org/berkeleylab/cs-roofline-toolkit/src/master/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#expdist-cuda
https://github.com/benvanwerkhoven/kernel_tunerhttps://github.com/benvanwerkhoven/kernel_tuner
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#extend2-c
https://github.com/lh3/bwahttps://github.com/lh3/bwa
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#extrema-cuda
https://github.com/rapidsai/cusignal/https://github.com/rapidsai/cusignal/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#f16max-c
https://x.momo86.net/en?p=113https://x.momo86.net/en?p=113
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#f16sp-cuda
https://docs.nvidia.com/cuda/cuda-samples/index.htmlhttps://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#face-cuda
https://sites.google.com/site/5kk73gpu2012/assignment/viola-jones-face-detectionhttps://sites.google.com/site/5kk73gpu2012/assignment/viola-jones-face-detection
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fdtd3d-opencl
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#feynman-kac-c
https://people.sc.fsu.edu/~jburkardt/c_src/feynman_kac_2d/feynman_kac_2d.htmlhttps://people.sc.fsu.edu/~jburkardt/c_src/feynman_kac_2d/feynman_kac_2d.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fhd-cuda
https://ict.senecacollege.ca/~gpu610/pages/content/cudas.htmlhttps://ict.senecacollege.ca/~gpu610/pages/content/cudas.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#filter-cuda
https://developer.nvidia.com/blog/cuda-pro-tip-optimized-filtering-warp-aggregated-atomics/https://developer.nvidia.com/blog/cuda-pro-tip-optimized-filtering-warp-aggregated-atomics/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fft-opencl
https://github.com/vetter/shoc/https://github.com/vetter/shoc/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#flame-cuda
http://gpugems.hwu-server2.crhc.illinois.edu/http://gpugems.hwu-server2.crhc.illinois.edu/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#flip-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#floydwarshall-hip
https://github.com/ROCm-Developer-Tools/HIP-Examples/blob/master/HIP-Examples-Applications/FloydWarshall/https://github.com/ROCm-Developer-Tools/HIP-Examples/blob/master/HIP-Examples-Applications/FloydWarshall/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#floydwarshall2-cuda
https://userweb.cs.txstate.edu/~burtscher/research/ECL-APSP/https://userweb.cs.txstate.edu/~burtscher/research/ECL-APSP/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fluidsim-opencl
https://github.com/OpenCL/AMD_APP_sampleshttps://github.com/OpenCL/AMD_APP_samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fpc-opencl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#frechet-matlab
https://github.com/mp4096/discrete-frechet-distancehttps://github.com/mp4096/discrete-frechet-distance
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fresnel-c
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#frna-cuda
http://rna.urmc.rochester.edu/Text/Fold-cuda.htmlhttp://rna.urmc.rochester.edu/Text/Fold-cuda.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fsm-cuda
https://userweb.cs.txstate.edu/~burtscher/research/FSM_GA/https://userweb.cs.txstate.edu/~burtscher/research/FSM_GA/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#fwt-cuda
http://docs.nvidia.com/cuda/cuda-samples/index.htmlhttp://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ga-cuda
https://github.com/NUCAR-DEV/Hetero-Markhttps://github.com/NUCAR-DEV/Hetero-Mark
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gabor-cc
https://github.com/fercer/gaborfilterhttps://github.com/fercer/gaborfilter
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gamma-correction-sycl
https://github.com/intel/BaseKit-code-sampleshttps://github.com/intel/BaseKit-code-samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gaussian-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gc-cuda
https://userweb.cs.txstate.edu/~burtscher/research/ECL-GC/https://userweb.cs.txstate.edu/~burtscher/research/ECL-GC/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gd-c
https://github.com/CGudapati/BinaryClassificationhttps://github.com/CGudapati/BinaryClassification
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#geam-cuda
https://docs.nvidia.com/cuda/cublas/index.html#cublas-lt-t-gt-geamhttps://docs.nvidia.com/cuda/cublas/index.html#cublas-lt-t-gt-geam
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gels-sycl
https://www.intel.com/content/www/us/en/docs/onemkl/developer-reference-dpcpphttps://www.intel.com/content/www/us/en/docs/onemkl/developer-reference-dpcpp
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gelu-cuda
https://github.com/NVIDIA/FasterTransformerhttps://github.com/NVIDIA/FasterTransformer
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gemv-cuda
https://github.com/wangsiping97/FastGEMVhttps://github.com/wangsiping97/FastGEMV
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#geodesic-opencl
https://www.osti.gov/servlets/purl/1576565https://www.osti.gov/servlets/purl/1576565
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ge-spmm-cuda
https://github.com/hgyhungry/ge-spmmhttps://github.com/hgyhungry/ge-spmm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gibbs-cuda
https://github.com/arendsee/cuda-gibbs-examplehttps://github.com/arendsee/cuda-gibbs-example
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#glu-cuda
https://pytorch.org/docs/stable/generated/torch.nn.GLU.htmlhttps://pytorch.org/docs/stable/generated/torch.nn.GLU.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gmm-cuda
https://github.com/Corv/CUDA-GMM-MultiGPUhttps://github.com/Corv/CUDA-GMM-MultiGPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#goulash-cuda
https://github.com/LLNL/goulashhttps://github.com/LLNL/goulash
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gpp-cuda-omp
https://github.com/NERSC/gpu-for-science-day-july-2019https://github.com/NERSC/gpu-for-science-day-july-2019
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#graphexecution-cuda
https://github.com/NVIDIA/cuda-samples/tree/master/Samples/3_CUDA_Features/simpleCudaGraphshttps://github.com/NVIDIA/cuda-samples/tree/master/Samples/3_CUDA_Features/simpleCudaGraphs
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#grep-cuda
https://github.com/bkase/CUDA-grephttps://github.com/bkase/CUDA-grep
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#grrt-cuda
https://github.com/hungyipu/Odysseyhttps://github.com/hungyipu/Odyssey
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#gru-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#haccmk-c
https://asc.llnl.gov/CORAL-benchmarks/#haccmkhttps://asc.llnl.gov/CORAL-benchmarks/#haccmk
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#halo-finder-cuda
https://gem5.googlesource.com/public/gem5-resourceshttps://gem5.googlesource.com/public/gem5-resources
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hausdorff-cc
https://github.com/arohamirai/Hausdorff-Distance-Matchhttps://github.com/arohamirai/Hausdorff-Distance-Match
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#haversine-cuda
https://github.com/rapidsai/cuspatialhttps://github.com/rapidsai/cuspatial
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hbc-cuda
https://github.com/Adam27X/hybrid_BChttps://github.com/Adam27X/hybrid_BC
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#heartwall-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#heat-sycl
https://github.com/UoB-HPC/heat_syclhttps://github.com/UoB-HPC/heat_sycl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#heat2d-cuda
https://github.com/gpucw/cuda-laplhttps://github.com/gpucw/cuda-lapl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hellinger-cuda
https://github.com/rapidsai/rafthttps://github.com/rapidsai/raft
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#henry-cuda
https://github.com/CorySimon/HenryCoefficienthttps://github.com/CorySimon/HenryCoefficient
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hexicton-opencl
https://github.com/noma/hexciton_benchmarkhttps://github.com/noma/hexciton_benchmark
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#histogram-cuda
http://github.com/NVlabs/cub/tree/masterhttp://github.com/NVlabs/cub/tree/master
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hmm-opencl
http://developer.download.nvidia.com/compute/DevZone/OpenCL/Projects/oclHiddenMarkovModel.tar.gzhttp://developer.download.nvidia.com/compute/DevZone/OpenCL/Projects/oclHiddenMarkovModel.tar.gz
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hogbom-cuda
https://github.com/ATNF/askap-benchmarks/https://github.com/ATNF/askap-benchmarks/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hotspot-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hotspot3d-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hpl-cuda
https://github.com/oneapi-src/Velocity-Benchhttps://github.com/oneapi-src/Velocity-Bench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hungarian-cuda
https://github.com/paclopes/HungarianGPUhttps://github.com/paclopes/HungarianGPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hwt1d-opencl
https://github.com/OpenCL/AMD_APP_sampleshttps://github.com/OpenCL/AMD_APP_samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hybridsort-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#hypterm-cuda
https://github.com/pssrawat/ppopp-artifacthttps://github.com/pssrawat/ppopp-artifact
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#idivide-cuda
https://github.com/milakov/int_fastdivhttps://github.com/milakov/int_fastdiv
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#interleave-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#interval-cuda
https://docs.nvidia.com/cuda/cuda-samples/index.htmlhttps://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#intrinsics-cast-cuda
https://docs.nvidia.com/cuda/cuda-math-api/group__CUDA__MATH__INTRINSIC__CAST.htmlhttps://docs.nvidia.com/cuda/cuda-math-api/group__CUDA__MATH__INTRINSIC__CAST.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#inversek2j-cuda
http://axbench.org/http://axbench.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#is-cuda
https://github.com/GMAP/NPB-GPUhttps://github.com/GMAP/NPB-GPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ising-cuda
https://github.com/NVIDIA/ising-gpu/https://github.com/NVIDIA/ising-gpu/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#iso2dfd-sycl
https://github.com/intel/HPCKit-code-samples/https://github.com/intel/HPCKit-code-samples/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#jaccard-cuda
https://github.com/rapidsai/nvgraph/blob/main/cpp/src/jaccard_gpu.cuhttps://github.com/rapidsai/nvgraph/blob/main/cpp/src/jaccard_gpu.cu
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#jacobi-cuda
https://github.com/NVIDIA/multi-gpu-programming-models/blob/master/single_gpu/jacobi.cuhttps://github.com/NVIDIA/multi-gpu-programming-models/blob/master/single_gpu/jacobi.cu
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#jenkins-hash-c
https://android.googlesource.com/platform/external/jenkins-hash/+/75dbeadebd95869dd623a29b720678c5c5c55630/lookup3.chttps://android.googlesource.com/platform/external/jenkins-hash/+/75dbeadebd95869dd623a29b720678c5c5c55630/lookup3.c
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#kalman-cuda
https://github.com/rapidsai/cuml/https://github.com/rapidsai/cuml/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#keccaktreehash-cuda
http://sites.google.com/site/keccaktreegpu/http://sites.google.com/site/keccaktreegpu/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#keogh-cuda
https://github.com/gravitino/cudadtwhttps://github.com/gravitino/cudadtw
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#kernellaunch-hip
https://github.com/ROCm/hip-testshttps://github.com/ROCm/hip-tests
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#kmc-cuda
https://github.com/MKLab-ITI/CUDAhttps://github.com/MKLab-ITI/CUDA
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#kmeans-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#knn-cuda
https://github.com/OSU-STARLAB/UVM_benchmark/blob/master/non_UVM_benchmarkshttps://github.com/OSU-STARLAB/UVM_benchmark/blob/master/non_UVM_benchmarks
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#kurtosis-cuda
https://github.com/d-d-j/ddj_storehttps://github.com/d-d-j/ddj_store
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lanczos-cuda
https://github.com/linhr/15618https://github.com/linhr/15618
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#langford-cuda
https://github.com/boris-dimitrov/z4_planar_langford_multigpuhttps://github.com/boris-dimitrov/z4_planar_langford_multigpu
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#laplace-cuda
https://github.com/kyleniemeyer/laplace_gpuhttps://github.com/kyleniemeyer/laplace_gpu
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#laplace3d-cuda
https://github.com/gpgpu-sim/ispass2009-benchmarkshttps://github.com/gpgpu-sim/ispass2009-benchmarks
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lavamd-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#layernorm-cuda
https://github.com/karpathy/llm.chttps://github.com/karpathy/llm.c
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#layout-opencl
https://github.com/OpenCL/AMD_APP_sampleshttps://github.com/OpenCL/AMD_APP_samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lci-c
https://github.com/vskokov/Landau_Collisional_Integralhttps://github.com/vskokov/Landau_Collisional_Integral
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lda-cuda
https://github.com/js1010/cusimhttps://github.com/js1010/cusim
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ldpc-cuda
https://github.com/robertwgh/cuLDPChttps://github.com/robertwgh/cuLDPC
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lebesgue-c
https://people.math.sc.edu/Burkardt/c_src/lebesgue/lebesgue.htmlhttps://people.math.sc.edu/Burkardt/c_src/lebesgue/lebesgue.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#leukocyte--opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lfib4-cuda
https://bitbucket.org/przemstp/gpu-marsa-lfib4/src/master/https://bitbucket.org/przemstp/gpu-marsa-lfib4/src/master/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#libor-cuda
https://people.maths.ox.ac.uk/~gilesm/cuda_old.htmlhttps://people.maths.ox.ac.uk/~gilesm/cuda_old.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lid-driven-cavity--cuda
https://github.com/kyleniemeyer/lid-driven-cavity_gpuhttps://github.com/kyleniemeyer/lid-driven-cavity_gpu
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lif-cuda
https://github.com/e2crawfo/hrr-scalinghttps://github.com/e2crawfo/hrr-scaling
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#linearprobing-cuda
https://github.com/nosferalatu/SimpleGPUHashTablehttps://github.com/nosferalatu/SimpleGPUHashTable
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#log2-c
https://adacenter.org/sites/default/files/milspec/Transcendentals.ziphttps://adacenter.org/sites/default/files/milspec/Transcendentals.zip
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#logan-cuda
https://github.com/albertozeni/LOGANhttps://github.com/albertozeni/LOGAN
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#logic-resim-cuda
https://github.com/ceKyleLee/cad20-tglshttps://github.com/ceKyleLee/cad20-tgls
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#logic-rewrite-cuda
https://github.com/cuhk-eda/CULShttps://github.com/cuhk-eda/CULS
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#logprob-cuda
https://github.com/NVIDIA/FasterTransformerhttps://github.com/NVIDIA/FasterTransformer
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lombscargle-cuda
https://github.com/rapidsai/cusignal/https://github.com/rapidsai/cusignal/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#loopback-cuda
https://developer.nvidia.com/gpugems/gpugems3/part-vi-gpu-computing/chapter-37-efficient-random-number-generation-and-applicationhttps://developer.nvidia.com/gpugems/gpugems3/part-vi-gpu-computing/chapter-37-efficient-random-number-generation-and-application
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lr-opencl
https://github.com/ChenyangZhang-cs/iMLBenchhttps://github.com/ChenyangZhang-cs/iMLBench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lrn-sycl
intel/llvm#8292https://github.com/intel/llvm/issues/8292
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lsqt-cuda
https://github.com/brucefan1983/gpuqthttps://github.com/brucefan1983/gpuqt
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lud-opencl
http://lava.cs.virginia.edu/Rodinia/download_links.htmhttp://lava.cs.virginia.edu/Rodinia/download_links.htm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ludb-cuda
https://docs.nvidia.com/cuda/cuda-samples/index.htmlhttps://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lulesh-cuda
https://github.com/LLNL/LULESHhttps://github.com/LLNL/LULESH
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#lzss-cuda
https://github.com/hipdac-lab/ICS23-GPULZhttps://github.com/hipdac-lab/ICS23-GPULZ
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mallocfree-hip
https://github.com/ROCm-Developer-Tools/HIP/https://github.com/ROCm-Developer-Tools/HIP/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mandelbrot-sycl
https://github.com/oneapi-src/oneAPI-samples/tree/master/DirectProgramminghttps://github.com/oneapi-src/oneAPI-samples/tree/master/DirectProgramming
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#marchingcubes-cuda
https://github.com/LRLVEC/MarchingCubeshttps://github.com/LRLVEC/MarchingCubes
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mask-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#match-cuda
https://github.com/Celebrandil/CudaSifthttps://github.com/Celebrandil/CudaSift
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#matern-cuda
https://tbetcke.github.io/hpc_lecture_notes/rbf_evaluation.htmlhttps://tbetcke.github.io/hpc_lecture_notes/rbf_evaluation.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#matrix-rotate-openmp
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#matrixt-cuda
https://docs.nvidia.com/cuda/cuda-samples/index.htmlhttps://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#maxpool3d-opencl
https://github.com/nachiket/papaa-openclhttps://github.com/nachiket/papaa-opencl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#maxflops-opencl
https://github.com/vetter/shoc/https://github.com/vetter/shoc/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mcmd-cuda
https://github.com/khavernathy/mcmdhttps://github.com/khavernathy/mcmd
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mcpr-cuda
https://github.com/berkeley-scf/gpu-workshop-2016https://github.com/berkeley-scf/gpu-workshop-2016
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#md-opencl
https://github.com/vetter/shoc/https://github.com/vetter/shoc/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mdh-opencl
http://gpugems.hwu-server2.crhc.illinois.edu/http://gpugems.hwu-server2.crhc.illinois.edu/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#md5hash-opencl
https://github.com/vetter/shoc/https://github.com/vetter/shoc/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#meanshift-cuda
https://github.com/w00zie/mean_shifthttps://github.com/w00zie/mean_shift
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#medianfilter-opencl
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#merkle-sycl
https://github.com/itzmeanjan/ff-gpuhttps://github.com/itzmeanjan/ff-gpu
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#memcpy-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#memtest-cuda
https://github.com/ComputationalRadiationPhysics/cuda_memtesthttps://github.com/ComputationalRadiationPhysics/cuda_memtest
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#merge-cuda
https://github.com/ogreen/MergePathGPUhttps://github.com/ogreen/MergePathGPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#metropolis-cuda
https://github.com/crinavar/truekehttps://github.com/crinavar/trueke
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mf-sgd-cuda
https://github.com/cuMF/cumf_sgdhttps://github.com/cuMF/cumf_sgd
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#michalewicz-c
https://www.sfu.ca/~ssurjano/michal.htmlhttps://www.sfu.ca/~ssurjano/michal.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#minife-omp
https://github.com/Mantevo/miniFEhttps://github.com/Mantevo/miniFE
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#minibude-sycl
https://github.com/UoB-HPC/miniBUDEhttps://github.com/UoB-HPC/miniBUDE
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#minimap2-cuda
https://github.com/UCLA-VAST/minimap2-accelerationhttps://github.com/UCLA-VAST/minimap2-acceleration
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#minimod-cuda
https://github.com/rsrice/gpa-minimod-artifactshttps://github.com/rsrice/gpa-minimod-artifacts
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#minisweep-openmp
https://github.com/wdj/minisweephttps://github.com/wdj/minisweep
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#miniweather-openmp
https://github.com/mrnorman/miniWeatherhttps://github.com/mrnorman/miniWeather
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#minkowski-cuda
https://github.com/rapidsai/rafthttps://github.com/rapidsai/raft
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#minmax-cuda
https://github.com/rapidsai/cuspatialhttps://github.com/rapidsai/cuspatial
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mis-cuda
http://www.cs.txstate.edu/~burtscher/research/ECL-MIS/http://www.cs.txstate.edu/~burtscher/research/ECL-MIS/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mixbench-cuda
https://github.com/ekondis/mixbenchhttps://github.com/ekondis/mixbench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mmcsf-cuda
https://github.com/isratnisa/MM-CSFhttps://github.com/isratnisa/MM-CSF
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mnist-cuda
https://developer.amd.com/wp-content/resourceshttps://developer.amd.com/wp-content/resources
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#morphology-cuda
https://github.com/yszheda/CUDA-Morphologyhttps://github.com/yszheda/CUDA-Morphology
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mr-c
https://github.com/wizykowski/miller-rabinhttps://github.com/wizykowski/miller-rabin
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mriq-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mrc-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mrg32k3a-cuda
https://github.com/NVIDIA/CUDALibrarySamples/https://github.com/NVIDIA/CUDALibrarySamples/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#mt-opencl
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https://github.com/bzip2-cuda/bzip2-cudahttps://github.com/bzip2-cuda/bzip2-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#multimaterial-sycl
https://github.com/reguly/multimaterialhttps://github.com/reguly/multimaterial
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#multinomial-cuda
https://pytorch.orghttps://pytorch.org
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#murmurhash3-c
https://github.com/aappleby/smhasher/wiki/MurmurHash3https://github.com/aappleby/smhasher/wiki/MurmurHash3
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#myocte-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nbnxm-sycl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nbody-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ne-cuda
https://github.com/PointCloudLibrary/pclhttps://github.com/PointCloudLibrary/pcl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nlll-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nms-cuda
https://github.com/hertasecurity/gpu-nmshttps://github.com/hertasecurity/gpu-nms
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nn-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nonzero-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#norm2-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nosync-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nqueen-cuda
https://github.com/tcarneirop/ChOphttps://github.com/tcarneirop/ChOp
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ntt-cuda
https://github.com/vernamlab/cuHEhttps://github.com/vernamlab/cuHE
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#nw-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#openmp-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#opticalflow-cuda
https://github.com/NVIDIA/cuda-samples/blob/master/Samples/5_Domain_Specific/HSOpticalFlowhttps://github.com/NVIDIA/cuda-samples/blob/master/Samples/5_Domain_Specific/HSOpticalFlow
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#overlap-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#overlay-cuda
https://github.com/dusty-nv/jetson-inferencehttps://github.com/dusty-nv/jetson-inference
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#p2p-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#p4-cuda
https://github.com/NVIDIA-AI-IOT/CUDA-PointPillarshttps://github.com/NVIDIA-AI-IOT/CUDA-PointPillars
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pad-cuda
https://github.com/chai-benchmarks/chaihttps://github.com/chai-benchmarks/chai
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#page-rank-opencl
https://github.com/Sable/Ostrich/tree/master/map-reduce/page-rankhttps://github.com/Sable/Ostrich/tree/master/map-reduce/page-rank
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#particle-diffusion-sycl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#particlefilter-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#particles-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pathfinder-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pcc-cuda
https://github.com/pcdslab/Fast-GPU-PCChttps://github.com/pcdslab/Fast-GPU-PCC
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#perlin-cuda
https://github.com/silverweed/perlin_cudahttps://github.com/silverweed/perlin_cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#permutate-cuda
https://github.com/yeah1kim/yeah_GPU_SP800_90B_IIDhttps://github.com/yeah1kim/yeah_GPU_SP800_90B_IID
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#permute-cuda
https://github.com/karpathy/llm.chttps://github.com/karpathy/llm.c
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#perplexity-cuda
https://github.com/rapidsai/cuml/https://github.com/rapidsai/cuml/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#phmm-cuda
https://github.com/lienliang/Pair_HMM_forward_GPUhttps://github.com/lienliang/Pair_HMM_forward_GPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pingpong-cuda
https://github.com/olcf-tutorials/MPI_ping_ponghttps://github.com/olcf-tutorials/MPI_ping_pong
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pitch-cuda
https://docs.nvidia.com/cuda/cuda-c-programming-guidehttps://docs.nvidia.com/cuda/cuda-c-programming-guide
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pnpoly-cuda
https://github.com/benvanwerkhoven/kernel_tunerhttps://github.com/benvanwerkhoven/kernel_tuner
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pns-cuda
https://github.com/abduld/Parboil/https://github.com/abduld/Parboil/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pointwise-cuda
https://developer.nvidia.com/blog/optimizing-recurrent-neural-networks-cudnn-5/https://developer.nvidia.com/blog/optimizing-recurrent-neural-networks-cudnn-5/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pool-hip
https://github.com/PaddlePaddle/Paddlehttps://github.com/PaddlePaddle/Paddle
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#popcount-opencl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#prefetch-hip
https://github.com/ROCm-Developer-Tools/HIP/https://github.com/ROCm-Developer-Tools/HIP/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#present-c
https://github.com/bozhu/PRESENT-C/blob/master/present.hhttps://github.com/bozhu/PRESENT-C/blob/master/present.h
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#prna-cuda
http://rna.urmc.rochester.edu/Text/partition-cuda.htmlhttp://rna.urmc.rochester.edu/Text/partition-cuda.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#projectile-sycl
https://github.com/intel/BaseKit-code-sampleshttps://github.com/intel/BaseKit-code-samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#pso-cuda
https://github.com/wiseodd/cuda-psohttps://github.com/wiseodd/cuda-pso
https://github.com/chensohg/GPU_CUDA_PSOhttps://github.com/chensohg/GPU_CUDA_PSO
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#qem-cuda
https://github.com/qureshizawar/CUDA-quartic-solverhttps://github.com/qureshizawar/CUDA-quartic-solver
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#qkv-cuda
https://github.com/karpathy/llm.chttps://github.com/karpathy/llm.c
https://github.com/mspronesti/llm.syclhttps://github.com/mspronesti/llm.sycl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#qrg-cuda
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#qtclustering-opencl
https://github.com/vetter/shoc/https://github.com/vetter/shoc/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#quant-cuda
https://github.com/bitsandbytes-foundation/bitsandbytes/tree/mainhttps://github.com/bitsandbytes-foundation/bitsandbytes/tree/main
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#quicksort-sycl
https://software.intel.com/content/www/us/en/develop/download/code-for-the-parallel-universe-article-gpu-quicksort-from-opencl-to-data-parallel-c.htmlhttps://software.intel.com/content/www/us/en/develop/download/code-for-the-parallel-universe-article-gpu-quicksort-from-opencl-to-data-parallel-c.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#radixsort-opencl
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#radixsort2-cuda
https://github.com/NVIDIA/cuda-sampleshttps://github.com/NVIDIA/cuda-samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rainflow-c
https://github.com/carlos-souto/rainflow-cycle-countinghttps://github.com/carlos-souto/rainflow-cycle-counting
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#randomaccess-openmp
https://icl.cs.utk.edu/projectsfiles/hpcc/RandomAccess/https://icl.cs.utk.edu/projectsfiles/hpcc/RandomAccess/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rayleighbenardconvection-cuda
https://github.com/sanchda/2D_RB_convec/tree/mainhttps://github.com/sanchda/2D_RB_convec/tree/main
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#reaction-cuda
https://github.com/ifilot/wavefusehttps://github.com/ifilot/wavefuse
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#recursivegaussian-opencl
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#remap-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#relu-cuda
https://github.com/tensorflowhttps://github.com/tensorflow
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#resize-cuda
https://github.com/opencv/https://github.com/opencv/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#resnet-kernels-cuda
https://github.com/xuqiantong/CUDA-Winogradhttps://github.com/xuqiantong/CUDA-Winograd
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#reverse-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#reverse2d-cuda
https://github.com/rapidsai/cumlhttps://github.com/rapidsai/cuml
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rfs-cuda
https://github.com/facebookarchive/fbcudahttps://github.com/facebookarchive/fbcuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#ring-sycl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rle-cuda
https://github.com/NVIDIA/cubhttps://github.com/NVIDIA/cub
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rng-wallace-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rodrigues-cuda
https://github.com/DIDSR/VICTRE_MCGPUhttps://github.com/DIDSR/VICTRE_MCGPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#romberg-cuda
https://github.com/SwayambhuNathRay/Parallel-Romberg-Integrationhttps://github.com/SwayambhuNathRay/Parallel-Romberg-Integration
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rowwisemoments-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rotary-cuda
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https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rsbench-opencl
https://github.com/ANL-CESAR/RSBench/https://github.com/ANL-CESAR/RSBench/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rsc-cuda
https://github.com/chai-benchmarks/chaihttps://github.com/chai-benchmarks/chai
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rsmt-cuda
https://userweb.cs.txstate.edu/~burtscher/research/SFP/https://userweb.cs.txstate.edu/~burtscher/research/SFP/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rtm8-hip
https://github.com/ROCm-Developer-Tools/HIP-Examples/tree/master/rtm8https://github.com/ROCm-Developer-Tools/HIP-Examples/tree/master/rtm8
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#rushlarsen-cuda
https://bitbucket.org/finsberg/gotran/src/masterhttps://bitbucket.org/finsberg/gotran/src/master
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#s3d-opencl
https://github.com/vetter/shoc/https://github.com/vetter/shoc/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#s8n-cuda
https://github.com/MVIG-SJTU/pointSIFT/tree/masterhttps://github.com/MVIG-SJTU/pointSIFT/tree/master
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sa-cuda
https://github.com/gmzang/Parallel-Suffix-Array-on-GPUhttps://github.com/gmzang/Parallel-Suffix-Array-on-GPU
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sad-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sampling-cuda
https://github.com/rapidsai/cumlhttps://github.com/rapidsai/cuml
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#saxpy-ompt-openmp
https://github.com/pc2/OMP-Offloadinghttps://github.com/pc2/OMP-Offloading
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sc-cuda
https://github.com/chai-benchmarks/chaihttps://github.com/chai-benchmarks/chai
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#scan-cuda
https://developer.nvidia.com/gpugems/gpugems3/part-vi-gpu-computing/chapter-39-parallel-prefix-sum-scan-cudahttps://developer.nvidia.com/gpugems/gpugems3/part-vi-gpu-computing/chapter-39-parallel-prefix-sum-scan-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#scan2-opencl
https://github.com/OpenCL/AMD_APP_sampleshttps://github.com/OpenCL/AMD_APP_samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#scan3-cuda
https://github.com/NVIDIA/cubhttps://github.com/NVIDIA/cub
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#scel-cuda
https://pytorch.org/https://pytorch.org/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#score-cuda
https://github.com/opencv/https://github.com/opencv/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sddmm-batch-cuda
https://docs.nvidia.com/cuda/cusparse/index.html#cusparsesddmmhttps://docs.nvidia.com/cuda/cusparse/index.html#cusparsesddmm
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#secp256k1-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#seam-carving-cuda
https://github.com/pauty/CUDA_seam_carvinghttps://github.com/pauty/CUDA_seam_carving
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#segment-reduce-cuda
https://github.com/c3sr/tcu_scopehttps://github.com/c3sr/tcu_scope
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#segsort-cuda
https://github.com/Funatiq/bb_segsorthttps://github.com/Funatiq/bb_segsort
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sheath-cuda
https://www.particleincell.com/2016/cuda-pic/https://www.particleincell.com/2016/cuda-pic/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#shmembench-cuda
https://github.com/ekondis/gpumembenchhttps://github.com/ekondis/gpumembench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#shuffle-hip
https://github.com/cpc/hipcl/tree/master/samples/4_shflhttps://github.com/cpc/hipcl/tree/master/samples/4_shfl
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#si-cuda
https://github.com/chribell/set_intersectionhttps://github.com/chribell/set_intersection
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#simplemoc-opencl
https://github.com/ANL-CESAR/SimpleMOC-kernelhttps://github.com/ANL-CESAR/SimpleMOC-kernel
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#simplemultidevice-cuda
https://docs.nvidia.com/cuda/cuda-samples/index.htmlhttps://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#simplespmv-cuda
https://github.com/passlab/CUDAMicroBenchhttps://github.com/passlab/CUDAMicroBench
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#slit-cuda
https://github.com/bamaratunga/cuda_fft.githttps://github.com/bamaratunga/cuda_fft.git
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#slu-cuda
https://github.com/sheldonucr/GLU_publichttps://github.com/sheldonucr/GLU_public
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#snake-cuda
https://github.com/CMU-SAFARI/SneakySnakehttps://github.com/CMU-SAFARI/SneakySnake
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#snicit-cuda
https://github.com/IDEA-CUHK/SNICIThttps://github.com/IDEA-CUHK/SNICIT
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sobel-opencl
https://github.com/OpenCL/AMD_APP_sampleshttps://github.com/OpenCL/AMD_APP_samples
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sobol-cuda
https://docs.nvidia.com/cuda/cuda-samples/index.htmlhttps://docs.nvidia.com/cuda/cuda-samples/index.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#softmax-opencl
https://github.com/pytorch/glow/tree/master/lib/Backends/OpenCLhttps://github.com/pytorch/glow/tree/master/lib/Backends/OpenCL
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#softmax-fused-cuda
https://github.com/Dao-AILab/flash-attention/tree/main/csrc/fused_softmaxhttps://github.com/Dao-AILab/flash-attention/tree/main/csrc/fused_softmax
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#softmax-online-cuda
https://github.com/karpathy/llm.chttps://github.com/karpathy/llm.c
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sort-opencl
https://github.com/vetter/shoc/https://github.com/vetter/shoc/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sortkv-cuda
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sosfil-cuda
https://github.com/rapidsai/cusignal/https://github.com/rapidsai/cusignal/
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sparkler-cuda
https://github.com/wdj/sparklerhttps://github.com/wdj/sparkler
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#sph-openmp
https://github.com/olcf/SPH_Simplehttps://github.com/olcf/SPH_Simple
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#split-cuda
http://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.htmlhttp://developer.download.nvidia.com/compute/cuda/3_0/sdk/website/OpenCL/website/samples.html
https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation#spm-cuda
http://mri.ee.ntust.edu.tw/cuda/http://mri.ee.ntust.edu.tw/cuda/
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