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Accelergy Project (@Accelergy-Project)

Accelergy-Project

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375
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Registered over 4 years ago
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Python
58.8 %

Jupyter Notebook
17.6 %

Dockerfile
11.8 %

Shell
5.9 %

C++
5.9 %

accelergy

Accelergy is an energy estimation infrastructure for accelerator energy estimations

timeloop-accelergy-exercises

Exercises for exploring the Fibertree, Timeloop and Accelergy tools

Jupyter Notebook

accelergy-timeloop-infrastructure

Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop

micro22-sparseloop-artifact

MICRO22 artifact evaluation for Sparseloop

Jupyter Notebook

timeloop-accelergy-tutorial

Docker container with tools for the Timeloop/Accelergy tutorial

processing-in-memory-design

pytorch2timeloop-converter

timeloop-python

Python wrapper for the timeloop project.

accelergy-cacti-plug-in

standalone cacti estimator plug-in for accelergy

timeloop-accelergy-pytorch

Docker for running jupyter notebooks with timeloop, accelergy and pytorch

accelergy-neurosim-plug-in

baseline-designs

A collection of Baseline designs for evaluation with Timeloop and Accelergy

Jupyter Notebook

accelergy-table-based-plug-ins

An entry point for creating various table-based plug-ins for the Accelergy estimation framework

accelergy-plug-in-template

An skeleton template as a starting point for constructing an Accelergy plug-in

gem5-accelergy-connector

accelergy-library-plug-in

A library of components from published works

accelergy-adc-plug-in

accelergy-mcpat-plug-in

timeloopfe

A Python front-end interface to the Timeloop infrastructure

accelergy-nvmexplorer-plug-in