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The Polyhedral Model Is More Widely Applicable Than You Think.

, , , and . CC, volume 6011 of Lecture Notes in Computer Science, page 283-303. Springer, (2010)

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High-performance code generation for stencil computations on GPU architectures., , and . ICS, page 311-320. ACM, (2012)Inside Vaucanson., , , , and . CIAA, volume 3845 of Lecture Notes in Computer Science, page 116-128. Springer, (2005)Polyhedral-based data reuse optimization for configurable computing., , , and . FPGA, page 29-38. ACM, (2013)Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model., , and . CoRR, (2020)On Using the Roofline Model with Lower Bounds on Data Movement., , , , , , and . ACM Trans. Archit. Code Optim., 11 (4): 67:1-67:23 (2014)PALMED: Throughput Characterization for Superscalar Architectures., , , , , , and . CGO, page 106-117. IEEE, (2022)POSTER: Hybrid Data Dependence Analysis for Loop Transformations., , , and . PACT, page 439-440. ACM, (2016)StVEC: A Vector Instruction Extension for High Performance Stencil Computation., , , , and . PACT, page 276-287. IEEE Computer Society, (2011)Effective resource management for enhancing performance of 2D and 3D stencils on GPUs., , , , , and . GPGPU@PPoPP, page 92-102. ACM, (2016)Distributed memory code generation for mixed Irregular/Regular computations., , , , , , and . PPoPP, page 65-75. ACM, (2015)