Skip to main content

AccelForge

Project description

AccelForge

AccelForge is a framework to model and design tensor algebra accelerators. To learn more, see the AccelForge website. The AccelForge source code is available on GitHub.

AccelForge uses HWComponents as a backend to model the area, energy, latency, and leak power of hardware components.

Installation

AccelForge is available on PyPI:

pip install accelforge

Notebooks and Examples

Examples can be found in the notebooks directory in the AccelForge repository. Examples of the input files can be found in the examples directory.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

accelforge-1.0.166.tar.gz (524.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

accelforge-1.0.166-py3-none-any.whl (634.7 kB view details)

Uploaded Python 3

File details

Details for the file accelforge-1.0.166.tar.gz.

File metadata

  • Download URL: accelforge-1.0.166.tar.gz
  • Upload date:
  • Size: 524.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.166.tar.gz
Algorithm Hash digest
SHA256 1906351b2d30ad04164a8d9b6f1a4b226ef3eb7c15d3ed58270bc1b77d066dea
MD5 6d0d717b88366266f64a4d81a8fbdeb2
BLAKE2b-256 6336e6b4c75273a0af9cbd86d419996e2c0019684659f755fb77c6ba0e17971c

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.166.tar.gz:

Publisher: tests_and_publish.yaml on Accelergy-Project/accelforge

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file accelforge-1.0.166-py3-none-any.whl.

File metadata

  • Download URL: accelforge-1.0.166-py3-none-any.whl
  • Upload date:
  • Size: 634.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.166-py3-none-any.whl
Algorithm Hash digest
SHA256 d95c3fda2e8bae8115d903a60ee4a7d742425524f359e7deea66316201bc1421
MD5 81c64a20205b763417c4879d64061a1a
BLAKE2b-256 39af38f4166512f445584c3a50b7584003b37e7388b3babf9d684f6a0cf8f7b2

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.166-py3-none-any.whl:

Publisher: tests_and_publish.yaml on Accelergy-Project/accelforge

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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