GitHub - clMathLibraries/clBLAS: a software library containing …
clBLAS. This repository houses the code for the OpenCL™ BLAS portion of clMath. The complete set of BLAS level 1, 2 & 3 routines is implemented. Please see Netlib BLAS for the list of supported routines. In addition to GPU devices, the library also supports running on CPU devices to facilitate debugging and multicore programming.
clBLAS: OpenCL BLAS - GitHub Pages
Feb 24, 2016 · OpenCL BLAS. This is an implementation of Basic Linear Algebra Subprograms, levels 1, 2 and 3 using OpenCL and optimized for the AMD GPU hardware.
GitHub - CNugteren/CLBlast: Tuned OpenCL BLAS
CLBlast is a lightweight, performant and tunable OpenCL BLAS library written in C++11. It is designed to leverage the full performance potential of a wide variety of OpenCL devices from different vendors, including desktop and laptop GPUs, embedded GPUs, and other accelerators.
sci-libs/clblas – Gentoo Packages - Gentoo Linux
clBLAS is the code for the OpenCL BLAS portion of clMath. The complete set of BLAS level 1, 2 and 3 routines is implemented. See Netlib BLAS for the list of supported routines.
clMathLibraries - GitHub
a software library containing BLAS functions written in OpenCL. clMathLibraries/clBLAS’s past year of commit activity. C++ 842 Apache-2.0 237 89 8 Updated Aug 2, 2024. clFFT Public.
clMath: An Open Source BLAS and FFT Library for OpenCL
Aug 13, 2013 · The clMath libraries include clBLAS and clFFT. The libraries will run on any OpenCL-conformant device. They will benefit all OpenCL developers, spanning from mobile apps to supercomputing codes. We have collaborated closely with AMD in the lead-up to making clMath available.
clBLAS: Overview - GitHub Pages
Feb 24, 2016 · This library provides an implementation of the Basic Linear Algebra Subprograms levels 1, 2 and 3, using OpenCL and optimized for AMD GPU hardware.
Design - clMathLibraries/clBLAS GitHub Wiki
Aug 13, 2013 · In the beginning of design and development, the design for clBLAS to achieve the highest performance was to dynamically generate OpenCL kernels on the fly, given a set of input parameters passed to a routine at runtime and tuning for the specific hardware in …
Differences between clBLAS and ViennaCL? - Stack Overflow
May 26, 2015 · One library in particular is clBLAS. Their website states that it implements BLAS level 1,2, & 3 methods. That is great but ViennaCL also has BLAS routines, linear algebra solvers, supports OpenCL and CUDA backends, and is header only.
pyclblas - PyPI
Apr 29, 2017 · PyCLBLAS is a wrapper for the clBLAS library. This module can be used to call BLAS routines on OpenCL enabled devices from Python. Download the file for your platform.