Published January 31, 2023 | Version 0.1.0
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The Sparse Abstract Machine

Description

This artifact describes how to set up and run our Sparse Abstract Machine (SAM) Python simulator and the C++ CUSTARD compiler, which compiles from concrete index notation (CIN) to SAM graphs (represented and stored in the DOT file format). The artifact also describes how to reproduce the quantitative experimental results in this paper. The artifact can be executed with any X86-64 or M-series Apple machine with Docker support and Python 3, at least 32 GB of RAM, and more than 20 GB of disk space.

Notes

Olivia Hsu was supported by an NSF GRFP Fellowship, Maxwell Strange was supported by the Apple Stanford Electrical Engineering PhD Fellowship in Integrated Systems, and Ritvik Sharma was supported by the Stanford Graduate Fellowship. This work was supported in part by the NSF under grant numbers 1937301, 2028602, CCF-1563078, and 1563113; by DARPA under the Domain-Specific System on Chip (DSSoC) Program; and by the DoE National Nuclear Security Administration (NNSA) under grant number DE-NA0003965. This research was also supported in part by the Stanford Agile Hardware (AHA) Center, Google Research Scholar program, and Stanford Data Analytics for What's Next (DAWN) Affiliate Program.

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Related works

Is supplement to
Preprint: 10.48550/arXiv.2208.14610 (DOI)