Export Citations
6 Results for: Keyword: GPU computing
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
Searched The ACM Guide to Computing Literature (3,482,418 records)|Limit your search to The ACM Full-Text Collection (691,749 records)
Showing 1 - 6of6 Results
Select All
- research-articleNovember 2022
Addressing irregular patterns of matrix computations on GPUs and their impact on applications powered by sparse direct solvers
SC '22: Proceedings of the International Conference on High Performance Computing, Networking, Storage and AnalysisNovember 2022, Article No.: 26, pp 1–14Many scientific applications rely on sparse direct solvers for their numerical robustness. However, performance optimization for these solvers remains a challenging task, especially on GPUs. This is due to workloads of small dense matrices that are ...
- ArticleJune 2022
Batch QR Factorization on GPUs: Design, Optimization, and Tuning
AbstractQR factorization of dense matrices is a ubiquitous tool in high performance computing (HPC). From solving linear systems and least squares problems to eigenvalue problems, and singular value decompositions, the impact of a high performance QR ...
- research-articleNovember 2019
SLATE: design of a modern distributed and accelerated linear algebra library
SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisNovember 2019, Article No.: 26, pp 1–18https://doi.org/10.1145/3295500.3356223The SLATE (Software for Linear Algebra Targeting Exascale) library is being developed to provide fundamental dense linear algebra capabilities for current and upcoming distributed high-performance systems, both accelerated CPU-GPU based and CPU based. ...
- research-articleJuly 2019
Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers
SC '18: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and AnalysisNovember 2018, Article No.: 47, pp 1–11https://doi.org/10.1109/SC.2018.00050Low-precision floating-point arithmetic is a powerful tool for accelerating scientific computing applications, especially those in artificial intelligence. Here, we present an investigation showing that other high-performance computing (HPC) ...
- research-articleNovember 2018
Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers
SC '18: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and AnalysisNovember 2018, Article No.: 47, pp 1–11Low-precision floating-point arithmetic is a powerful tool for accelerating scientific computing applications, especially those in artificial intelligence. Here, we present an investigation showing that other high-performance computing (HPC) ...
-
- research-articleJune 2017
Novel HPC techniques to batch execution of many variable size BLAS computations on GPUs
ICS '17: Proceedings of the International Conference on SupercomputingJune 2017, Article No.: 5, pp 1–10https://doi.org/10.1145/3079079.3079103This paper presents a software framework for solving large numbers of relatively small matrix problems using GPUs. Our approach combines novel and existing HPC techniques to methodically apply performance analysis, kernel design, low-level optimizations,...
