Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling

Author:

Odemuyiwa Toluwanimi O.1,Asghari-Moghaddam Hadi2,Pellauer Michael3,Hegde Kartik2,Tsai Po-An3,Crago Neal C.3,Jaleel Aamer3,Owens John D.1,Solomonik Edgar2,Emer Joel S.4,Fletcher Christopher W.2

Affiliation:

1. University of California at Davis, Davis, USA

2. University of Illinois at Urbana-Champaign, USA

3. NVIDIA, USA

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

Funder

Defense Advanced Research Projects Agency

National Science Foundation

Publisher

ACM

Reference61 articles.

1. 2023. Dynamic Reflexive Tiling. https://github.com/FPSG-UIUC/DRT 2023. Dynamic Reflexive Tiling. https://github.com/FPSG-UIUC/DRT

2. Peter Ahrens and Erik G . Boman . 2020 . On Optimal Partitioning For Sparse Matrices In Variable Block Row Format. CoRR , abs/2005.12414 (2020), arXiv:2005.12414. arxiv:2005.12414 Peter Ahrens and Erik G. Boman. 2020. On Optimal Partitioning For Sparse Matrices In Variable Block Row Format. CoRR, abs/2005.12414 (2020), arXiv:2005.12414. arxiv:2005.12414

3. Optimizing Sparse Matrix-Multiple Vectors Multiplication for Nuclear Configuration Interaction Calculations

4. ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator

5. Parallel Tensor Compression for Large-Scale Scientific Data

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing;ACM Transactions on Computer Systems;2023-11-30

2. Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

3. HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

4. Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling (Extended Abstract);Proceedings of the 2023 ACM Workshop on Highlights of Parallel Computing;2023-07-18

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