ASTRA-sim is a distributed machine learning system simulator developed by Intel, Meta, and Georgia Tech. It enables the systematic study of challenges in modern deep learning systems, allowing for the exploration of bottlenecks and the development of efficient methodologies for large DNN models across diverse future platforms.
The previous version, ASTRA-sim 1.0, is available in the ASTRA-sim-1.0 branch.
Here is a concise visual summary of our simulator:
For a comprehensive understanding of the tool, and to gain insights into its capabilities, please visit our website.
For information on how to use ASTRA-sim, please visit our Wiki.
ASTRA-sim accepts Chakra Execution Traces as workload-layer inputs. For details, please visit Chakra Github.
We appreciate your interest and support in ASTRA-sim!
For any questions about using ASTRA-sim, you can email the ASTRA-sim User Mailing List: [email protected]
To join the mailing list, please fill out the following form: https://forms.gle/18KVS99SG3k9CGXm6