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jblas
Analyzed about 17 hours ago
jblas is a fast linear algebra library for Java. jblas is based on BLAS and LAPACK, the de-facto industry standard for matrix computations, and uses state-of-the-art implementations like ATLAS for all its computational routines, making jBLAS very fast.
jblas can is essentially a light-wight
Licenses:
bsd
OpenCL BLAS
Analyzed about 17 hours ago
BLAS (Basic Linear Algebra Subprograms) is used to perform operations such as vector and matrix multiplication. LAPACK is buit using BLAS. This project is a beginning of BLAS functions and procedures for OpenCL language on GPU.
LIBXSMM
No analysis available
Library for specialized dense and sparse matrix operations, and deep learning primitives.
Mostly written in language not available
Licenses:
BSD-3-Clause
clMath-clBLAS
C
Analyzed about 20 hours ago
a software library containing BLAS functions written in OpenCL
Licenses:
apache_2