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-1.0.17.tar.gz (330.6 kB view details)

Uploaded Source

Built Distribution

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

accelforge-1.0.17-py3-none-any.whl (415.9 kB view details)

Uploaded Python 3

File details

Details for the file accelforge-1.0.17.tar.gz.

File metadata

  • Download URL: accelforge-1.0.17.tar.gz
  • Upload date:
  • Size: 330.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.17.tar.gz
Algorithm Hash digest
SHA256 51ad19130a893bed5d18158fae6328d413c1b6441bb5464838acb79bcfa3856a
MD5 215252fa90023994312bf02c574e76c2
BLAKE2b-256 1e78169f3dcbdff3aef9d354e4e0744b5e40a9495ad98d3d7691f1c758c929bc

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.17.tar.gz:

Publisher: 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-1.0.17-py3-none-any.whl.

File metadata

  • Download URL: accelforge-1.0.17-py3-none-any.whl
  • Upload date:
  • Size: 415.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.17-py3-none-any.whl
Algorithm Hash digest
SHA256 c85058d60174a8a00fc63b6f42c0e8f24390075ad3940d66cc6759f2eb547963
MD5 09c0db6a6fd6727ebac4eb1a1077d337
BLAKE2b-256 2df1f42a1d3a3e4ec4e49b6ff4491c381cabe45390046d71d509f2f0be25af9d

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.17-py3-none-any.whl:

Publisher: 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