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-1.0.32.tar.gz (582.3 kB view details)

Uploaded Source

Built Distribution

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

accelforge-1.0.32-py3-none-any.whl (668.7 kB view details)

Uploaded Python 3

File details

Details for the file accelforge-1.0.32.tar.gz.

File metadata

  • Download URL: accelforge-1.0.32.tar.gz
  • Upload date:
  • Size: 582.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.32.tar.gz
Algorithm Hash digest
SHA256 3dd21e195934f742dc37a679653a6b5804d00318f8d8f16157a3bd1541524497
MD5 01d3498d83a5df3048188ecb0b726eb9
BLAKE2b-256 0911109c7dd5558994c16d1ca0f6059e059c6f1eb7f41daeecebdb4d7f8a02cc

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.32.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-1.0.32-py3-none-any.whl.

File metadata

  • Download URL: accelforge-1.0.32-py3-none-any.whl
  • Upload date:
  • Size: 668.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.32-py3-none-any.whl
Algorithm Hash digest
SHA256 0352afbaa7bb49bfa65c408e499e23818222ce6490536bbf1e4810d6ce3db4c9
MD5 e0438eea0704a723253ac44c6f14bdc4
BLAKE2b-256 0efb459219e42a04219785cf76b34b3cbcbd5493a5e084cdb1c50e9bae9d8b9b

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.32-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