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-1.0.102.tar.gz (646.8 kB view details)

Uploaded Source

Built Distribution

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

accelforge-1.0.102-py3-none-any.whl (751.8 kB view details)

Uploaded Python 3

File details

Details for the file accelforge-1.0.102.tar.gz.

File metadata

  • Download URL: accelforge-1.0.102.tar.gz
  • Upload date:
  • Size: 646.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.102.tar.gz
Algorithm Hash digest
SHA256 06dae2f76c0bd78ac57b3687e8adcf5f41daf96033d6d670fbb0469a85de2af8
MD5 d32efb339082e861d1b7eda347f99afd
BLAKE2b-256 e6697b93ae3110635baf0bf1dd9eaab702ad179ceac182f41cc34f789d670ebb

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.102.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-1.0.102-py3-none-any.whl.

File metadata

  • Download URL: accelforge-1.0.102-py3-none-any.whl
  • Upload date:
  • Size: 751.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.102-py3-none-any.whl
Algorithm Hash digest
SHA256 b68af24ffc273eb87e7286f495fdabf85c314eee141bec2e6167efd36507999f
MD5 ef471b32a596ae6ead2f450f97d132e1
BLAKE2b-256 84ac025c0a9ba574aa922a8dbc135d98ae2d191af5b01ab9171ffab0d484863f

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.102-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