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Trading off memory for parallelism quality

, , , , , and . International Workshop on Polyhedral Compilation Techniques, IMPACT, (2012)

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Re-Introduction of communication-avoiding FMM-accelerated FFTs with GPU acceleration., , , , and . HPEC, page 1-6. IEEE, (2013)Polyhedral Optimization of TensorFlow Computation Graphs., , , , and . ESPT/VPA@SC, volume 11027 of Lecture Notes in Computer Science, page 74-89. Springer, (2017)Automatic communication optimizations through memory reuse strategies., , , and . PPoPP, page 277-278. ACM, (2012)A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction., , , , , , and . GPGPU, volume 425 of ACM International Conference Proceeding Series, page 51-61. ACM, (2010)Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler., , , , , , , , , and 2 other author(s). VISSOFT, page 180-184. IEEE Computer Society, (2015)HACCLE: metaprogramming for secure multi-party computation., , , , , , , , , and 10 other author(s). GPCE, page 130-143. ACM, (2021)Efficient and scalable computations with sparse tensors., , , and . HPEC, page 1-6. IEEE, (2012)Polyhedral Tensor Schedulers., , and . HPCS, page 504-512. IEEE, (2019)POSTER: Automatic Parallelization Targeting Asynchronous Task-Based Runtimes., , and . PACT, page 465-466. IEEE, (2019)ACDT: Architected Composite Data Types trading-in unfettered data access for improved execution., , , , , , and . ICPADS, page 289-297. IEEE Computer Society, (2014)