HPAC

Author:

Parasyris Konstantinos1,Georgakoudis Giorgis1,Menon Harshitha1,Diffenderfer James1,Laguna Ignacio1,Osei-Kuffuor Daniel1,Schordan Markus1

Affiliation:

1. Lawrence Livermore National Laboratory

Funder

Laboratory Directed Research and Development

Publisher

ACM

Reference47 articles.

1. Petabricks: A language and compiler for algorithmic choice;Ansel Jason;ACM Sigplan Notices,2009

2. Qinglei Cao Yu Pei Kadir Akbudak George Bosilca Hatem Ltaief David E Keyes and Jack Dongarra. 2020. Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems. (2020). Qinglei Cao Yu Pei Kadir Akbudak George Bosilca Hatem Ltaief David E Keyes and Jack Dongarra. 2020. Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems. (2020).

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1. HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

2. AutoConstruct: Automated Neural Surrogate Model Building and Deployment for HPC Applications;Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing;2023-08-10

3. Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications;Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing;2023-08-07

4. Towards a SYCL API for Approximate Computing;International Workshop on OpenCL;2023-04-18

5. Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era;IT Professional;2023-03

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