LIBXSMM

LIBXSMM

Library for small, dense or sparse matrix multiplications for today's HPC applications, and small convolutions as used in Machine Learning.

Modern Code, Artificial Intelligence

  • 0 Collaborators

  • 1 Followers

    Follow

Description

LIBXSMM is a library for small dense and small sparse matrix-matrix multiplications as well as for deep learning primitives such as small convolutions targeting Intel Architecture. The highly optimized code leverages an innovative Just-In-Time in-memory code generation, which is based on a machine model rather than blind auto-tuning.

Links

ReadtheDocs

GitHub

Default user avatar 57012e2942

Hans P. (Intel) created project LIBXSMM

Medium 0cfaf25b 04eb 4d66 9f84 ca7f6c316fef

LIBXSMM

LIBXSMM is a library for small dense and small sparse matrix-matrix multiplications as well as for deep learning primitives such as small convolutions targeting Intel Architecture. The highly optimized code leverages an innovative Just-In-Time in-memory code generation, which is based on a machine model rather than blind auto-tuning.

No users to show at the moment.

Bigger eric headshot 2012
  • Projects 0
  • Followers 5

Eric Heaton

Intel Data Plane Architect, focusing on the Cable market. Use IA to create high-performance hw or sw-based networking infrastructure.

Oakland, CA, USA