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Managing the Performance/Error Tradeoff of Floating-point Intensive Applications.

, , , , and . ACM Trans. Embed. Comput. Syst., 16 (5s): 184:1-184:19 (2017)

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Dynamic floating-point cancellation detection., , and . Parallel Comput., 39 (3): 146-155 (2013)Tool Integration for Source-Level Mixed Precision., , , and . CORRECTNESS@SC, page 27-35. IEEE, (2019)ADAPT: algorithmic differentiation applied to floating-point precision tuning., , , , , , and . SC, page 48:1-48:13. IEEE / ACM, (2018)Automatically adapting programs for mixed-precision floating-point computation., , , and . ICS, page 369-378. ACM, (2013)Thoughtful Precision in Mini-Apps., , , , , , , and . CLUSTER, page 858-865. IEEE Computer Society, (2017)HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis., , , , , , , and . IISWC, page 25-36. IEEE, (2020)Fine-grained floating-point precision analysis., and . Int. J. High Perform. Comput. Appl., 32 (2): 231-245 (2018)Abstract: Automatically Adapting Programs for Mixed-Precision Floating-Point Computation., , , and . SC Companion, page 1423. IEEE Computer Society, (2012)Automating Systems Course Unit and Integration Testing: Experience Report, , and . Proceedings of the 50th ACM Technical Symposium on Computer Science Education, page 565--570. New York, NY, USA, ACM, (2019)Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era., , , , , , , and . IT Prof., 25 (2): 7-15 (March 2023)