OpenBLAS Files

OpenBLAS is an optimized BLAS library based on GotoBLAS2.

Brought to you by: xianyi

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
OpenBLAS 0.3.1 version.tar.gz	2018-07-01	11.8 MB	0
OpenBLAS 0.3.1 version.zip	2018-07-01	24.2 MB	0
README.md	2018-07-01	1.7 kB	0
Totals: 3 Items		36.0 MB	0

common:

rewritten thread initialization code with significantly reduced overhead
added CBLAS interfaces to the IxAMIN BLAS extension functions
fixed the lapack-test target
CMAKE builds now create an OpenBLASConfig.cmake file
ZAXPY now uses a single thread for small input sizes
the LAPACK code was updated from https://github.com/Reference-LAPACK/lapack/pull/253

POWER:

corrected CROT and ZROT behaviour with zero INC_X

ARMV7:

corrected xDOT behaviour with zero INC_X or INC_Y

x86_64:

retired some older targets of DYNAMIC_ARCH builds to a new option DYNAMIC_OLDER, this affects PENRYN,DUNNINGTON,OPTERON,OPTERON_SSE3,BOBCAT,ATOM and NANO (which will still be supported via the slower PRESCOTT kernels when this option is not set)
added an option DYNAMIC_LIST that (used in conjunction with DYNAMIC_ARCH) allows to specify the list of x86_64 targets to include. Any target not on the list will be supported by the Sandybridge or Nehalem kernels if available, or by Prescott.
improved SWITCH_RATIO on Haswell for increased GEMM throughput
added initial support for Intel Skylake X, including an AVX512 SGEMM kernel
added autodetection of Intel Cannon Lake series as Skylake X
added a default L2 cache size for hypervisors that return zero here (Chromebook)
fixed a name clash with recent Windows10 headers that broke the build with (at least) recent mingw from MSYS2
fixed a link error in mixed clang/gfortran builds with OpenMP
updated the OSX deployment target to 10.8
switched on parallel make for builds on MS Windows by default

x86:

fixed SSWAP and DSWAP behaviour with zero INC_X and INC_Y

Source: README.md, updated 2018-07-01

You Might Also Like

Monitor your whole IT Infrastructure Icon

Monitor your whole IT Infrastructure

Know what's up and what's new: Monitor all your systems, devices, traffic and applications.

Caters to tech staff, system Administrators, and companies of any size, from small and medium sized businesses to enterprises that need their IT network to be reliable and easy to monitor in real-time. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine. PRTG optimizes connections and workloads as well as reducing operational costs by avoiding outages while saving time and controlling service level agreements (SLAs).

Start Your Free PRTG Trial Now

Create and run cloud-based virtual machines. Icon

Create and run cloud-based virtual machines.

Secure and customizable compute service that lets you create and run virtual machines.

Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.

Try for free

Recommended Projects

OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. The Level 1 BLAS performs scalar, vector and vector-vector operations, the...
Automatically Tuned Linear Algebra Soft.
ATLAS (Automatically Tuned Linear Algebra Software) provides highly optimized Linear Algebra kernels for arbitrary cache-based architectures. ATLAS provides ANSI C and Fortran77 interfaces for the entire BLAS API, and a small portion of the LAPACK AP
Armadillo
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK,...
Multiple precision LAPACK and BLAS
The MPACK project is providing a multiple precision arithmetic version of linear algebra package, similar to the BLAS and LAPACK.
CTranslate2
CTranslate2 is a C++ and Python library for efficient inference with Transformer models. The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of...