A decentralized virtual processor automatically exploits parallelism in array programs through local cooperative decisions without a central scheduler.
Legate numpy: Accelerated and distributed array computing
4 Pith papers cite this work, alongside 47 external citations. Polarity classification is still indexing.
4
Pith papers citing it
47
external citations · external index
representative citing papers
New techniques for error-independent unified path variation, non-degenerate batched sampling, and flexible contraction accelerate tensor network quantum trajectory simulations by more than 10^8 times.
PICO is a benchmarking framework for collective operations that decouples portable setup from platform execution, supplies reference MPI implementations, and shows default choices can be up to 5x slower with up to 44% end-to-end training time reductions in simulator replays.
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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A Virtual Processor brings back the Free Lunch
A decentralized virtual processor automatically exploits parallelism in array programs through local cooperative decisions without a central scheduler.
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Accelerating Quantum Tensor Network Simulations with Unified Path Variations and Non-Degenerate Batched Sampling
New techniques for error-independent unified path variation, non-degenerate batched sampling, and flexible contraction accelerate tensor network quantum trajectory simulations by more than 10^8 times.
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PICO: Performance Insights for Collective Operations
PICO is a benchmarking framework for collective operations that decouples portable setup from platform execution, supplies reference MPI implementations, and shows default choices can be up to 5x slower with up to 44% end-to-end training time reductions in simulator replays.
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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.