SparseLNR-Reference-Cited by-同舟云学术

SparseLNR

Published:2022-06-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th ACM International Conference on Supercomputing
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Author:

Dias Adhitha¹,Sundararajah Kirshanthan¹,Saumya Charitha¹,Kulkarni Milind¹

Affiliation:

1. Purdue University

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524059.3532386

Reference37 articles.

1. High-performance Tensor Contractions for GPUs

2. Peter Ahrens Fredrik Kjolstad and Saman Amarasinghe. 2021. An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs. arXiv:2111.14947 Peter Ahrens Fredrik Kjolstad and Saman Amarasinghe. 2021. An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs. arXiv:2111.14947

3. Memory minimization for tensor contractions using integer linear programming

4. Alina Bibireata , Sandhya Krishnan , Gerald Baumgartner , Daniel Cociorva , Chi-chung Lam, P. Sadayappan , J. Ramanujam , David E. Bernholdt , and Venketesh Choppella . 2004 . Memory-Constrained Data Locality Optimization. In in 16th International Workshop on Languages and Compilers for Parallel Computing (LCPC'03 . SpringerVerlag, 93--108. Alina Bibireata, Sandhya Krishnan, Gerald Baumgartner, Daniel Cociorva, Chi-chung Lam, P. Sadayappan, J. Ramanujam, David E. Bernholdt, and Venketesh Choppella. 2004. Memory-Constrained Data Locality Optimization. In in 16th International Workshop on Languages and Compilers for Parallel Computing (LCPC'03. SpringerVerlag, 93--108.

5. Compilation techniques for sparse matrix computations

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3. SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2023-03-25