Towards an Auto-Tuned and Task-Based SpMV (LASs Library)

Author:

Catalán Sandra,Usui Tetsuzo,Toledo Leonel,Martorell Xavier,Labarta Jesús,Valero-Lara Pedro

Publisher

Springer International Publishing

Cited by 10 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. HAM-SpMSpV: an Optimized Parallel Algorithm for Masked Sparse Matrix-Sparse Vector Multiplications on multi-core CPUs;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03

2. sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC;Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region;2024-01-18

3. MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

4. Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes;2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2023-05

5. LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS;2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA);2022-11

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