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-1.0.82.tar.gz (644.5 kB view details)

Uploaded Source

Built Distribution

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

accelforge-1.0.82-py3-none-any.whl (747.2 kB view details)

Uploaded Python 3

File details

Details for the file accelforge-1.0.82.tar.gz.

File metadata

  • Download URL: accelforge-1.0.82.tar.gz
  • Upload date:
  • Size: 644.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.82.tar.gz
Algorithm Hash digest
SHA256 e8bfedd8ad1e772bb4245062d768c4bb82f7591b1a9f079800676f9bdb358b91
MD5 a1675ca2f18029b6c85ef664536c03eb
BLAKE2b-256 b5547a5b99a328eebf9f1fe87b855d8fbfa8beca63a5348f07cd3ba0f85d96c8

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.82.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-1.0.82-py3-none-any.whl.

File metadata

  • Download URL: accelforge-1.0.82-py3-none-any.whl
  • Upload date:
  • Size: 747.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.82-py3-none-any.whl
Algorithm Hash digest
SHA256 d3dddca2d0f4c472cfd8fbe257129786c6590b4092ce28860fbd26902a44fb8a
MD5 2f7e614e97cdcf14b6b9fa2893672b56
BLAKE2b-256 7242dcf6b726c1c831f0f59910dc59a9627508643e8c0f59038b3331c68a0a74

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.82-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