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The Scalable Heterogeneous Computing (SHOC) benchmark suite.

, , , , , , , and . GPGPU, volume 425 of ACM International Conference Proceeding Series, page 63-74. ACM, (2010)

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Tracking a Value's Influence on Later Computation.. Euro-Par Workshops, volume 8374 of Lecture Notes in Computer Science, page 617-626. Springer, (2013)Automated Characterization of Parallel Application Communication Patterns., , and . HPDC, page 73-84. ACM, (2015)Value influence analysis for message passing applications., and . ICS, page 145-154. ACM, (2014)Understanding Strong Scaling on GPUs Using Empirical Performance Saturation Size., , and . P3HPC@SC, page 26-35. IEEE, (2022)The Scalable Heterogeneous Computing (SHOC) benchmark suite., , , , , , , and . GPGPU, volume 425 of ACM International Conference Proceeding Series, page 63-74. ACM, (2010)Using Working Set Reorganization to Manage Storage Systems with Hard and Solid State Disks., , , and . ICPP Workshops, page 283-291. IEEE Computer Society, (2014)Nested Workflows for Loosely Coupled HPC Simulations., , , , and . AICCSA, page 1-8. IEEE Computer Society, (2019)Experiences Readying Applications for Exascale., , , , , , , , , and 22 other author(s). CoRR, (2023)Using pattern-models to guide SSD deployment for Big Data applications in HPC systems., , and . IEEE BigData, page 332-337. IEEE Computer Society, (2013)Capturing Petascale Application Characteristics with the Sequoia Toolkit., , , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 917-924. Central Institute for Applied Mathematics, Jülich, Germany, (2005)