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Custom High-Performance Vector Code Generation for Data-Specific Sparse Computations
PACT '22: Proceedings of the International Conference on Parallel Architectures and Compilation TechniquesPages 160–171https://doi.org/10.1145/3559009.3569668Sparse computations, such as sparse matrix-dense vector multiplication, are notoriously hard to optimize due to their irregularity and memory-boundedness. Solutions to improve the performance of sparse computations have been proposed, ranging from ...
Generating piecewise-regular code from irregular structures
PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and ImplementationPages 625–639https://doi.org/10.1145/3314221.3314615Irregular data structures, as exemplified with sparse matrices, have proved to be essential in modern computing. Numerous sparse formats have been investigated to improve the overall performance of Sparse Matrix-Vector multiply (SpMV). But in this work ...
