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Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code.

, , , and . CORRECTNESS@SC, page 34-41. ACM, (2017)

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A Framework for Error-Bounded Approximate Computing, with an Application to Dot Products., , and . SIAM J. Sci. Comput., 44 (3): 1290- (2022)Adaptive load balancing for HPC applications. University of Illinois Urbana-Champaign, USA, (2016)Scalable replay with partial-order dependencies for message-logging fault tolerance., , , , , and . CLUSTER, page 19-28. IEEE Computer Society, (2014)HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis., , , , , , , and . IISWC, page 25-36. IEEE, (2020)UIUC-PPL/charm: Charm++ version 6.10.2., , , , , , , , , and 68 other author(s). (August 2020)HPC-Coder: Modeling Parallel Programs using Large Language Models., , , , and . ISC, page 1-12. Prometeus GmbH / IEEE, (2024)Searching for High-Fidelity Builds Using Active Learning., , , and . MSR, page 179-190. ACM, (2022)ADAPT: algorithmic differentiation applied to floating-point precision tuning., , , , , , and . SC, page 48:1-48:13. IEEE / ACM, (2018)Tool Integration for Source-Level Mixed Precision., , , and . CORRECTNESS@SC, page 27-35. IEEE, (2019)Understanding a program's resiliency through error propagation., , , , , and . PPoPP, page 362-373. ACM, (2021)