R^3 optimizes full scientific applications on GPUs better than tuning kernel parameters or compiler flags alone while running nearly an order of magnitude faster than modern evolutionary search methods.
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2 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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CoVer extended to Fortran preserves analysis accuracy, reveals a bug in MPI-BugBench, and runs substantially faster than MUST while supporting multiple languages.
citing papers explorer
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Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search
R^3 optimizes full scientific applications on GPUs better than tuning kernel parameters or compiler flags alone while running nearly an order of magnitude faster than modern evolutionary search methods.
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Extending Contract Verification for Parallel Programming Models to Fortran
CoVer extended to Fortran preserves analysis accuracy, reveals a bug in MPI-BugBench, and runs substantially faster than MUST while supporting multiple languages.