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• W4245643018 abstract "This paper introduces three new compiler transformations for representing and transforming sparse matrix computations and their data representations. In cooperation with run-time inspection, our compiler derives transformed matrix representations and associated transformed code to implement a variety of representations targeting different architecture platforms. This systematic approach to combining code and data transformations on sparse computations, which extends a polyhedral transformation and code generation framework, permits the compiler to compose these transformations with other transformations to generate code that is on average within 5% and often exceeds manually-tuned, high-performance sparse matrix libraries CUSP and OSKI. Additionally, the compiler-generated inspector codes are on average 1.5 faster than OSKI and perform comparably to CUSP, respectively." @default.
• W4245643018 created "2022-05-12" @default.
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• W4245643018 date "2015-06-03" @default.
• W4245643018 modified "2023-10-12" @default.
• W4245643018 title "Loop and data transformations for sparse matrix code" @default.
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• W4245643018 doi "https://doi.org/10.1145/2813885.2738003" @default.
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