Harshitha Gopalakrishnan Menon | 20-ERD-043
We are developing algorithms and a computational framework to enable high-performance computing programs to use approximate computing techniques to achieve significant performance and energy savings. The results of our investigation could inform future use of the most feasible approximate computing techniques for software workloads at national laboratories and the development of hardware requirements to support those workloads.
Publications, Presentations, and Patents
Parasyris, K., et al. 2020. "HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis." IEEE International Symposium on Workload Characterization (online), October 2020. LLNL-CONF-809027