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-1.0.86.tar.gz (646.7 kB view details)

Uploaded Source

Built Distribution

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

accelforge-1.0.86-py3-none-any.whl (750.7 kB view details)

Uploaded Python 3

File details

Details for the file accelforge-1.0.86.tar.gz.

File metadata

  • Download URL: accelforge-1.0.86.tar.gz
  • Upload date:
  • Size: 646.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.86.tar.gz
Algorithm Hash digest
SHA256 14a9a51e2c872ef809395f11f536e22e61d98833b7d78b5a08b34d49e7b8bc81
MD5 07d5e36d323178dba36c721f1b26013f
BLAKE2b-256 52995e9c14597749d136a0f5af7f5b5884d82c829968f499f8f111fe9835446b

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.86.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-1.0.86-py3-none-any.whl.

File metadata

  • Download URL: accelforge-1.0.86-py3-none-any.whl
  • Upload date:
  • Size: 750.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for accelforge-1.0.86-py3-none-any.whl
Algorithm Hash digest
SHA256 bf14ee69e6b75788210fd4ef39b916cc64effe47070219bc4412cc1fcbf46ba4
MD5 bd29510af46ed3e782a1cd2369f46345
BLAKE2b-256 a37e9e14d4e6cdc3f741e44bcd526c5bb46a5c89102703cc18ef14d34ba62cc1

See more details on using hashes here.

Provenance

The following attestation bundles were made for accelforge-1.0.86-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