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-1.0.73.tar.gz (644.2 kB view details)

Uploaded Source

Built Distribution

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

accelforge-1.0.73-py3-none-any.whl (746.7 kB view details)

Uploaded Python 3

File details

Details for the file accelforge-1.0.73.tar.gz.

File metadata

  • Download URL: accelforge-1.0.73.tar.gz
  • Upload date:
  • Size: 644.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.73.tar.gz
Algorithm Hash digest
SHA256 491b492dad0e3df3e732edebd8f4020f445b1c688dedb66468232da80e4643cf
MD5 d3c36a1c1c4e9efe10220192a85549ec
BLAKE2b-256 38436b423fb8a5639f969f6046ea9454bf9d9afe62953cdffc7acc95b0087177

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.73.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-1.0.73-py3-none-any.whl.

File metadata

  • Download URL: accelforge-1.0.73-py3-none-any.whl
  • Upload date:
  • Size: 746.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.73-py3-none-any.whl
Algorithm Hash digest
SHA256 c8688232272e8a6efa472f511a249bce864707fcf038fd16fab5cc7bb443c45b
MD5 ee9b354d9da5aeebedd5ddfab8b5620c
BLAKE2b-256 a521ad16d78931c30ff31a0231f9eddef84a1a94cf3fc8cfc5fb9c9f3c945b69

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.73-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