Skip to main content

Generator of Matrix Multiplication Kernels

Project description

GiMMiK is a Python based kernel generator for matrix multiplication kernels for various accelerator platforms. For small operator matrices the generated kernels are capable of outperfoming the state-of-the-art general matrix multiplication routines such as cuBLAS GEMM or clBLAS GEMM. GiMMiK was originally developed as part of Bartosz Wozniak’s master’s thesis in the Department of Computing at Imperial College London and is currently maintained by Freddie Witherden.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gimmik-3.2.1.tar.gz (12.1 kB view details)

Uploaded Source

Built Distribution

gimmik-3.2.1-py3-none-any.whl (26.5 kB view details)

Uploaded Python 3

File details

Details for the file gimmik-3.2.1.tar.gz.

File metadata

  • Download URL: gimmik-3.2.1.tar.gz
  • Upload date:
  • Size: 12.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for gimmik-3.2.1.tar.gz
Algorithm Hash digest
SHA256 048644bd71497eb07e144f2c22fdee49ba23e1cde5fb954c3c30c4e3ea23687a
MD5 c4a9ef9bf67e211f286f324fde06df4e
BLAKE2b-256 c3d7249f3835d341bd23d8fd919904f2592ea9a8c3019e3eb8bceee02f5c2c87

See more details on using hashes here.

File details

Details for the file gimmik-3.2.1-py3-none-any.whl.

File metadata

  • Download URL: gimmik-3.2.1-py3-none-any.whl
  • Upload date:
  • Size: 26.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for gimmik-3.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c99a0461699297b568aff95bab585f996502df8b0407e7882fb141322b95e737
MD5 1b92f147ae99648b1ff0fd02e93e9727
BLAKE2b-256 930129808394f21b322dfd3644ffe5d0ad85eb66820fe5f8ddedbe0375fd8137

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page