LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS

Author:

Monil Mohammad Alaul Haque1,Miniskar Narasinga Rao1,Liu Frank Y.1,Vetter Jeffrey S.1,Valero-Lara Pedro1

Affiliation:

1. Oak Ridge National Laboratory,Oak Ridge,TN

Funder

US Department of Energy

Publisher

IEEE

Reference30 articles.

1. FLAME

2. Iris-blas: Towards a performance portable and heterogeneous blas library;miniskar;29th IEEE International Conference on High Performance Computing Data and Analytics HiPC 2022 Bengaluru India December 18–21 2022,2022

3. IRIS: A Portable Runtime System Exploiting Multiple Heterogeneous Programming Systems

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1. IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

2. Making Uintah Performance Portable for Department of Energy Exascale Testbeds;Lecture Notes in Computer Science;2024

3. MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky);Lecture Notes in Computer Science;2024

4. IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming;Lecture Notes in Computer Science;2024

5. 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

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