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Scalable Critical Path Analysis for Hybrid MPI-CUDA Applications.

, , and . IPDPS Workshops, page 908-915. IEEE Computer Society, (2014)

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SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance., , , , , , , , , and 14 other author(s). PMBS@SC, volume 8966 of Lecture Notes in Computer Science, page 46-67. Springer, (2014)Rapid data processing for ultrafast X-ray computed tomography using scalable and modular CUDA based pipelines., , , , and . Comput. Phys. Commun., (2017)Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs., , , , , , , , and . ICPP, page 176-185. IEEE Computer Society, (2011)Performance Comparison and Optimization: Case Studies using BenchIT., , , , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 877-884. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Trace-Based Performance Analysis for Hardware Accelerators.. Parallel Tools Workshop, page 93-104. Springer, (2011)Software publications with rich metadata: state of the art, automated workflows and HERMES concept, , , , and . (2022)Open ACC Programs Examined: A Performance Analysis Approach., , and . ICPP, page 310-319. IEEE Computer Society, (2015)High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications., , and . CCGRID, page 786-791. IEEE Computer Society, (2010)Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond., , , , , , and . ISC Workshops, volume 9945 of Lecture Notes in Computer Science, page 293-301. (2016)Scalable and Modular Online Data Processing for Ultrafast Computed Tomography Using CUDA Pipelines., , and . ISAV@SC, page 7-11. IEEE Computer Society, (2016)