Frontiers of Performance Analysis on Leadership-Class Systems
The number of cores in high-end systems for scientific computing are employing is increasing rapidly. As a result, there is an pressing need for tools that can measure, model, and diagnose performance problems in highly-parallel runs. We describe two tools that employ complementary approaches for analysis at scale and we illustrate their use on DOE leadership-class systems.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 978414
- Report Number(s):
- LLNL-CONF-413969; TRN: US201010%%84
- Resource Relation:
- Journal Volume: 180; Conference: Presented at: SciDAC Conference, San Diego, CA, United States, Jun 16 - Jun 18, 2009
- Country of Publication:
- United States
- Language:
- English
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