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cs.DC2024
Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications
Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver +3
Run to run variability in parallel programs caused by floating-point non-associativity has been known to significantly affect reproducibility in iterative algorithms, due to accumu…
cs.DC2022
Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms?
Mathialakan Thavappiragasam, Wael Elwasif, Ada Sedova
High-throughput structure-based screening of drug-like molecules has become a common tool in biomedical research. Recently, acceleration with graphics processing units (GPUs) has p…