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Title: GitHub - mitmath/18337: 18.337 - Parallel Computing and Scientific Machine Learning

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[video2]https://www.youtube.com/watch?v=HMmOk9GIhsw
[video]https://www.youtube.com/watch?v=zHPXGBiTM5A
[Eig&SVD derivatives notebooks]https://github.com/mitmath/18337/tree/master/lecture9
[2022 IAP Class Matrix Calculus]https://github.com/mitmath/matrixcalc
Slideshttps://github.com/SciML/SciMLBook/blob/spring21/lecture12/MPI.jl.pdf
[video, Lauren Milichen]https://www.youtube.com/watch?v=LCIJj0czofo
[Performance Metrics]https://github.com/mitmath/18337/blob/spring21/lecture12/PerformanceMetricsSoftwareArchitecture.pdf
9https://book.sciml.ai/notes/09/
10https://book.sciml.ai/notes/10-Basic_Parameter_Estimation-Reverse-Mode_AD-and_Inverse_Problems/
11https://book.sciml.ai/notes/11-Differentiable_Programming_and_Neural_Differential_Equations/
13https://book.sciml.ai/notes/13/
GPU Slideshttps://docs.google.com/presentation/d/1npryMMe7JyLLCLdeAM3xSjLe5Q54eq0QQrZg5cxw-ds/edit?usp=sharing
Prefix Materialshttps://github.com/mitmath/18337/tree/master/lecture%2013
14https://book.sciml.ai/notes/14/
11https://book.sciml.ai/notes/11-Differentiable_Programming_and_Neural_Differential_Equations/
[video]https://www.youtube.com/watch?v=KCTfPyVIxpc
11https://book.sciml.ai/notes/11-Differentiable_Programming_and_Neural_Differential_Equations/
[video]https://www.youtube.com/watch?v=KCTfPyVIxpc
Partitioning Slideshttps://github.com/alanedelman/18.337_2018/blob/master/Lectures/Lecture13_1022_SpectralPartitioning/Partitioning.ppt
15https://book.sciml.ai/notes/15/
[video]https://www.youtube.com/watch?v=YuaVXt--gAA
notes on adjointhttps://github.com/mitmath/18337/blob/master/lecture20/adjointpde.pdf
Materialshttps://github.com/mitmath/18337/tree/master/lecture%2022
16https://book.sciml.ai/notes/16/
videohttps://www.youtube.com/watch?v=32rAwtTAGdU
https://patch-diff.githubusercontent.com/mitmath/18337#lecture-summaries-and-handouts
Class Videoshttps://mit.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=9e659f61-1fd4-4b98-96a0-af940143c9c7
https://patch-diff.githubusercontent.com/mitmath/18337#lecture-1--syllabus-introduction-to-performance-introduction-to-automatic-differentiation
https://github.com/mitmath/18337/blob/master/lecture1/Julia%20is%20fast.ipynbhttps://github.com/mitmath/18337/blob/master/lecture1/Julia%20is%20fast.ipynb
https://github.com/mitmath/18337/blob/master/lecture1/AutoDiff.ipynbhttps://github.com/mitmath/18337/blob/master/lecture1/AutoDiff.ipynb
https://patch-diff.githubusercontent.com/mitmath/18337#lecture-2--the-parallel-dream-and-intro-to-matrix-calculus
https://github.com/mitmath/18337/blob/master/lecture1/the_dream.ipynbhttps://github.com/mitmath/18337/blob/master/lecture1/the_dream.ipynb
https://patch-diff.githubusercontent.com/mitmath/18337#lecture-and-notes
https://patch-diff.githubusercontent.com/mitmath/18337#homeworks
Hw1https://mitmath.github.io/18337/hw1/hw1.html
https://patch-diff.githubusercontent.com/mitmath/18337#final-project
https://patch-diff.githubusercontent.com/mitmath/18337#possible-project-topics
current projectshttps://github.com/JuliaLabs/julialabs.github.io/blob/master/projects.md
Augmented Neural Ordinary Differential Equationshttps://arxiv.org/abs/1904.01681
Neural Jump Stochastic Differential Equationshttps://arxiv.org/pdf/1905.10403.pdf
one example parallel library)https://github.com/harrelfe/rms
second examplehttps://bioconductor.org/packages/release/data/experiment/html/RegParallel.html
Create a system for automatic multithreaded parallelism of array operationshttps://github.com/JuliaLang/julia/issues/19777
Setup BLAS with a PARTR backendhttps://github.com/JuliaLang/julia/issues/32786
Investigate the effects of work-stealing in multithreaded loopshttps://github.com/JuliaLang/julia/issues/21017
can be found herehttps://github.com/YingboMa/DFT.jl
Starter code can be found herehttps://github.com/JuliaBLAS/JuliaBLAS.jl
extension to pmaphttps://docs.julialang.org/en/v1/manual/parallel-computing/index.html
CUDAnativehttps://github.com/JuliaGPU/CUDAnative.jl
GPUifyLoopshttps://github.com/vchuravy/GPUifyLoops.jl
NamedTuple backends of DataFrameshttps://github.com/JuliaData/DataFrames.jl/issues/1335
type-stable DataFrameshttps://github.com/FugroRoames/TypedTables.jl
JuliaDBhttps://github.com/JuliaComputing/JuliaDB.jl
Readme https://patch-diff.githubusercontent.com/mitmath/18337#readme-ov-file
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