Author:
Cabrera Anthony,Hitefield Seth,Kim Jungwon,Lee Seyong,Miniskar Narasinga Rao,Vetter Jeffrey S.
Cited by
7 articles.
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1. MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky);Lecture Notes in Computer Science;2024
2. FFTX-IRIS: Towards Performance Portability and Heterogeneity for SPIRAL Generated Code;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12
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. IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25
5. SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM;Proceedings of the 50th Annual International Symposium on Computer Architecture;2023-06-17