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Optimizing the performance of parallel applications on a 5D torus via task mapping.

, , , , , , and . HiPC, page 1-10. IEEE Computer Society, (2014)

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Hatchet: pruning the overgrowth in parallel profiles., , and . SC, page 20:1-20:21. ACM, (2019)Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization., , and . IPDPS, page 831-840. IEEE, (2020)Communication-minimizing Asynchronous Tensor Parallelism., , and . CoRR, (2023)Automating Topology Aware Mapping for Supercomputers. University of Illinois Urbana-Champaign, USA, (2010)Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training., and . IPDPS, page 245-255. IEEE, (2023)Visualizing the five-dimensional torus network of the IBM blue gene/Q., , , , and . VPA@SC, page 24-27. IEEE, (2014)Weighted locality-sensitive scheduling for mitigating noise on multi-core clusters., , and . HiPC, page 1-10. IEEE Computer Society, (2011)Charm++ and MPI: Combining the Best of Both Worlds., , , , , , and . IPDPS, page 655-664. IEEE Computer Society, (2015)Overcoming scaling challenges in biomolecular simulations across multiple platforms., , , , , and . IPDPS, page 1-12. IEEE, (2008)Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs., , , , , , , , , and 1 other author(s). CoRR, (2024)