other · Zenodo (CERN European Organization for Nuclear Research) · 2023
The Sparse Abstract Machine
Hsu, Olivia, Strange, Maxwell, Sharma, Ritvik, Jaeyeon Won, Kunle Olukotun, Emer, Joel S., Horowitz, Mark, Kjolstad, Fredrik
Cited by 0Open access
Abstract
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.
Cite this paper
Hsu, O., Strange, M., Sharma, R., Won, J., Olukotun, K., Emer, J. S., Horowitz, M., & Kjolstad, F. (2023). The Sparse Abstract Machine. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.7591741
Hsu, Olivia, et al. “The Sparse Abstract Machine.” Zenodo (CERN European Organization for Nuclear Research), 2023, https://doi.org/10.5281/zenodo.7591741.
Hsu, Olivia, Maxwell Strange, Ritvik Sharma, Jaeyeon Won, Kunle Olukotun, Joel S. Emer, Mark Horowitz, and Fredrik Kjolstad. 2023. “The Sparse Abstract Machine.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.7591741.
Hsu, O. et al. (2023) ‘The Sparse Abstract Machine’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.7591741.
@misc{hsu2023sparse,
title = {{The Sparse Abstract Machine}},
author = {Hsu, Olivia and Strange, Maxwell and Sharma, Ritvik and Won, Jaeyeon and Olukotun, Kunle and Emer, Joel S. and Horowitz, Mark and Kjolstad, Fredrik},
journal = {Zenodo (CERN European Organization for Nuclear Research)},
year = {2023},
doi = {10.5281/zenodo.7591741}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.