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Title: GitHub - codeaudit/netlib-java: Mission-critical components for linear algebra systems, with Fortran performance. · GitHub

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https://github.com/codeaudit/netlib-java/tree/master#netlib-java
BLAShttp://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms
LAPACKhttp://en.wikipedia.org/wiki/LAPACK
ARPACKhttp://en.wikipedia.org/wiki/ARPACK
Apache Sparkhttps://spark.apache.org/
my talk at Scala eXchange 2014https://skillsmatter.com/skillscasts/5849-high-performance-linear-algebra-in-scala
follow along with high-res slideshttp://fommil.github.io/scalax14/#/
Apache Commons Mathhttp://commons.apache.org/proper/commons-math/
not using netlib-javahttps://issues.apache.org/jira/browse/MATH-270
Matrix Toolkits for Javahttps://github.com/fommil/matrix-toolkits-java/
Breezehttps://github.com/scalanlp/breeze
netlib.orghttp://www.netlib.org
F2Jhttp://icl.cs.utk.edu/f2j/
JNILoaderhttps://github.com/fommil/jniloader
https://github.com/codeaudit/netlib-java/tree/master#machine-optimised-system-libraries
commercially and open sourcehttp://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms#Implementations
compile time profilinghttp://en.wikipedia.org/wiki/Automatically_Tuned_Linear_Algebra_Software#Optimization_approach
selection of array alignments for the kernel and CPU combinationhttp://en.wikipedia.org/wiki/Automatically_Tuned_Linear_Algebra_Software#Can_it_afford_to_copy.3F
cuBLAShttps://developer.nvidia.com/cublas
clBLAShttps://github.com/clMathLibraries/clBLAS
our NVBLAS instructionshttps://github.com/fommil/netlib-java/wiki/NVBLAS
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https://github.com/codeaudit/netlib-java/tree/master#os-x
veclib frameworkhttps://developer.apple.com/documentation/Performance/Conceptual/vecLib/
https://github.com/codeaudit/netlib-java/tree/master#linux
Debianhttps://wiki.debian.org/DebianScience/LinearAlgebraLibraries
latest ATLAShttp://sourceforge.net/projects/math-atlas/files/latest/download
latest OpenBLAShttps://github.com/xianyi/OpenBLAS/archive/master.zip
Intel MKLhttp://software.intel.com/en-us/intel-mkl
https://github.com/codeaudit/netlib-java/tree/master#windows
generically tuned binarieshttp://sourceforge.net/projects/openblas/files/
ATLAShttp://math-atlas.sourceforge.net/atlas_install/node54.html
Dependency Walkerhttp://www.dependencywalker.com
doesn't provide separate librarieshttps://github.com/xianyi/OpenBLAS/issues/296
MinGWhttp://www.mingw.org
https://github.com/codeaudit/netlib-java/tree/master#customisation
https://github.com/codeaudit/netlib-java/tree/master#performance
JIThttp://en.wikipedia.org/wiki/Just-in-time_compilation
veclib frameworkhttps://developer.apple.com/library/mac/documentation/Performance/Conceptual/vecLib/Reference/reference.html
MKLhttp://software.intel.com/en-us/intel-mkl
ATLAShttps://sourceforge.net/projects/math-atlas/
cuBLAShttps://developer.nvidia.com/cublas
DGEMMhttp://www.netlib.no/netlib/lapack/double/dgemm.f
matrix multiplicationhttp://en.wikipedia.org/wiki/General_Matrix_Multiply
https://camo.githubusercontent.com/3554dc35d53e586f6858123ec38594401ec8f312b0a2e1cbd346a8893e292131/687474703a2f2f693735322e70686f746f6275636b65742e636f6d2f616c62756d732f78783136322f666f6d6d696c2f6467656d6d5f7a707339366538373466342e706e67
DGETRIhttp://www.netlib.no/netlib/lapack/double/dgetri.f
LU Factorisationhttp://en.wikipedia.org/wiki/LU_decomposition
matrix inversionhttp://mathworld.wolfram.com/MatrixInverse.html
https://camo.githubusercontent.com/3037f0a31e4a4b0005f4c38e6f27cef60c950e183015e7fffefb145c1eea4266/687474703a2f2f693735322e70686f746f6275636b65742e636f6d2f616c62756d732f78783136322f666f6d6d696c2f6467657472695f7a707362626266323235662e706e67
DDOThttp://www.netlib.no/netlib/blas/ddot.f
vector dot producthttp://en.wikipedia.org/wiki/Dot_product
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DSAUPDhttp://www.caam.rice.edu/software/ARPACK/UG/node136.html
https://camo.githubusercontent.com/504cfe5d898c9ce7950a844b44761f1accca738a73cc776619d3a79fa261bcc3/687474703a2f2f693735322e70686f746f6275636b65742e636f6d2f616c62756d732f78783136322f666f6d6d696c2f6473617570645f7a707331623033333939312e706e67
https://github.com/codeaudit/netlib-java/tree/master#installation
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