The Sparse Abstract Machine-Reference-Cited by-同舟云学术

The Sparse Abstract Machine

Published:2023-03-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
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Author:

Hsu Olivia¹,Strange Maxwell¹,Sharma Ritvik¹,Won Jaeyeon²,Olukotun Kunle¹,Emer Joel S.³,Horowitz Mark A.¹,Kjølstad Fredrik¹

Affiliation:

1. Stanford University, USA

2. Massachusetts Institute of Technology, USA

3. Massachusetts Institute of Technology, USA / NVIDIA, USA

Funder

NSF (National Science Foundation)

DOE U.S. Department of Energy

Defense Advanced Research Projects Agency

Publisher

ACM

Reference69 articles.

1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , and Michael Isard . 2016 . TensorFlow: A system for large-scale machine learning . In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) . 265–283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, and Michael Isard. 2016. TensorFlow: A system for large-scale machine learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16). 265–283.

2. Autoscheduling for sparse tensor algebra with an asymptotic cost model

3. Efficient MATLAB Computations with Sparse and Factored Tensors

4. Vivek Bharadwaj Aydin Buluç and James Demmel. 2022. Distributed-Memory Sparse Kernels for Machine Learning. https://doi.org/10.48550/ARXIV.2203.07673 10.48550/ARXIV.2203.07673

5. Vivek Bharadwaj Aydin Buluç and James Demmel. 2022. Distributed-Memory Sparse Kernels for Machine Learning. https://doi.org/10.48550/ARXIV.2203.07673

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