BLIS

BLIS is a portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries. The framework was designed to isolate essential kernels of computation that, when optimized, enable optimized implementations of most of its commonly used and computationally intensive operations. Select kernels have been optimized for the AMD EPYCTM processor family. The optimizations are done for single and double precision routines.

Highlights of AMD BLIS 0.95 Beta

  • Enhanced optimizations of SGEMV and DGEMV for AMD EPYCTM Family processors.
  • Minimized BLIS framework overheads for small matrix sizes
  • Fine-tuned multithread performance of level 3 BLAS for AMD EPYCTM Family processors
  • Fixed some of the thread safety issues. The application need not call the initialization and finalization calls, bli_init() and bli_finalize() respectively if BLIS is built using GCC or CLANG
  • Reverted to default SIMD alignment for the AMD “Bulldozer” architecture as a part of bug fix
  • Fixed a minor bug in level-3 packm management. The package containing BLIS Library binaries which includes optimizations for the AMD EPYCTM processor family, examples and documentation are available in the Downloads section below.

Source code is available on GitHub page.

libFLAME

libFLAME is a portable library for dense matrix computations, providing much of the functionality present in LAPACK. It includes a compatibility layer, FLAPACK, which includes complete LAPACK implementation. The library provides scientific and numerical computing communities with a modern, high-performance dense linear algebra library that is extensible, easy to use, and available under an open source license. libFLAME is a C-only implementation and does not depend on any external FORTRAN libraries including LAPACK. There is an optional backward compatibility layer, lapack2flame, that maps LAPACK routine invocations to their corresponding native C implementations in libFLAME. This allows legacy applications to start taking advantage of libFLAME with virtually no changes to their source code.

In combination with the AMD optimized BLIS library, libFLAME enables running high performing LAPACK functionalities on AMD platforms. The performance of libFLAME on AMD platforms can be improved by just linking with the AMD optimized BLIS.

Highlights of AMD libFLAME 0.95 Beta

  • Includes few build improvements and cross-compilation fixes as fetched from the master BLIS repository of University of Texas Austin.The package containing libFLAME binaries, examples and documentation are available in the Downloads section below.

Source code is available on GitHub page.

Download:

File Name Version Size Launch Date OS Bitness Description

File Name

Version

0.95 Beta

Size

2038 KB

Launch Date

12/18/2017

OS

Ubuntu

Bitness

64

Description

Single Threaded BLIS Library binary package with example binary MD5 Checksum : 03f6b1a7e52227d2e3df6a8846234b51

File Name

Version

0.95 Beta

Size

1993 KB

Launch Date

12/18/2017

OS

Ubuntu

Bitness

64

Description

Multi-threaded BLIS Library binary package with example binary MD5 Checksum : 1ae40014baee83cc5995713cc1b29a83

File Name

Version

0.95 Beta

Size

4026 KB

Launch Date

12/18/2017

OS

Ubuntu

Bitness

64

Description

libFLAME Library binary package with example binary MD5 Checksum : fbbdb3c961834788ff0525a05148e0f8
Archive

File Name

Version

0.9 Beta

Size

1,766 KB

Launch Date

06/20/2017

OS

Linux

Bitness

64

Description

BLIS Library binary package with example binary

File Name

Version

0.9 Beta

Size

4,465 KB

Launch Date

06/20/2017

OS

Linux

Bitness

64

Description

libFLAME Library binary package with example binary