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Abstract: Slack-Conscious Lightweight Loop Scheduling for Improving Scalability of Bulk-synchronous MPI Applications.

, , , , and . SC Companion, page 1392. IEEE Computer Society, (2012)

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Toward Supporting Multi-GPU Targets via Taskloop and User-Defined Schedules., , , , , and . IWOMP, volume 12295 of Lecture Notes in Computer Science, page 295-309. Springer, (2020)Weighted locality-sensitive scheduling for mitigating noise on multi-core clusters., , and . HiPC, page 1-10. IEEE Computer Society, (2011)Performance Analysis of the Lattice Boltzmann Model Beyond Navier-Stokes., , , , and . IPDPS, page 1063-1074. IEEE Computer Society, (2013)Hybrid Static/dynamic Scheduling for Already Optimized Dense Matrix Factorization., , , and . IPDPS, page 496-507. IEEE Computer Society, (2012)Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I)., , , , , , , , , and 15 other author(s). IWOMP, volume 12870 of Lecture Notes in Computer Science, page 67-80. Springer, (2021)Abstract: Slack-Conscious Lightweight Loop Scheduling for Improving Scalability of Bulk-synchronous MPI Applications., , , , and . SC Companion, page 1392. IEEE Computer Society, (2012)OpenMP application experiences: Porting to accelerated nodes., , , , , , , , , and 14 other author(s). Parallel Comput., (2022)Composing Low-Overhead Scheduling Strategies for Improving Performance of Scientific Applications., and . IWOMP, volume 9342 of Lecture Notes in Computer Science, page 18-29. Springer, (2015)Toward a Standard Interface for User-Defined Scheduling in OpenMP., , , , and . CoRR, (2019)Low-overhead scheduling for improving performance of scientific applications. University of Illinois Urbana-Champaign, USA, (2015)