Extreme-scale Algorithms and Solver Resilience
- Univ. of Tennessee, Knoxville, TN (United States)
A widening gap exists between the peak performance of high-performance computers and the performance achieved by complex applications running on these platforms. Over the next decade, extreme-scale systems will present major new challenges to algorithm development that could amplify this mismatch in such a way that it prevents the productive use of future DOE Leadership computers due to the following; Extreme levels of parallelism due to multicore processors; An increase in system fault rates requiring algorithms to be resilient beyond just checkpoint/restart; Complex memory hierarchies and costly data movement in both energy and performance; Heterogeneous system architectures (mixing CPUs, GPUs, etc.); and Conflicting goals of performance, resilience, and power requirements.
- Research Organization:
- Univ. of Tennessee, Knoxville, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- SC0010042
- OSTI ID:
- 1334619
- Report Number(s):
- DOE-UTK-10042; ER26137
- Resource Relation:
- Related Information: http://icl.cs.utk.edu/magma/software/http://icl.cs.utk.edu/magma/pubs/
- Country of Publication:
- United States
- Language:
- English
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