Project Details
Description
Large-scale data analytics is essential to the National Strategic Computing Initiative (NSCI) and NSF's scientific discovery mission. Data-intensive supercomputing applications are increasingly important for high performance computing workloads. Current benchmarks and performance metrics do not provide useful information on suitability of computing systems for data-intensive applications.
This research effort will produce a new Stream500 benchmark, complementary to Graph500, that replicates streaming analytics workload. The current benchmark capabilities will be expanded by enabling the exiting web-based infrastructure to accept submissions for multiple benchmarks.
Status | Finished |
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Effective start/end date | 1/08/16 → 31/07/19 |
Funding
- National Science Foundation: $119,544.00
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