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Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems.

, , , , , , , , , , and . SC Workshops, page 644-647. ACM, (2023)

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GROPHECY: GPU performance projection from CPU code skeletons., , , , and . SC, page 14:1-14:11. ACM, (2011)Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems., , , , , , , , , and 1 other author(s). SC Workshops, page 644-647. ACM, (2023)Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications., , , , and . PMBS@SC, page 33-44. IEEE, (2018)Characterization and Understanding Machine-Specific Interconnects., , , , and . PaCT, volume 7979 of Lecture Notes in Computer Science, page 90-104. Springer, (2013)The SuperCodelet architecture., , , , , and . ExHET@PPOPP, page 2:1-2:6. ACM, (2022)Characterization of MPI usage on a production supercomputer., , , , and . SC, page 30:1-30:15. IEEE / ACM, (2018)Scalable Reactive Molecular Dynamics Simulations for Computational Synthesis., , , , , , , , , and . Comput. Sci. Eng., 21 (5): 64-75 (2019)Implementation of Dataflow Software Pipelining for Codelet Model., , , , and . ICPE, page 161-172. ACM, (2023)Codelet Pipe: Realization of Dataflow Software Pipelining for Extended Codelet Model., , , and . ICPP Workshops, page 127-135. ACM, (2023)Sequential Codelet Model of Program Execution. A Super-Codelet model based on the Hierarchical Turing Machine., , , and . IPDRM@SC, page 1-8. IEEE, (2019)