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HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations., , , , and . IPDPS, page 1217-1227. IEEE, (2022)Sympiler: transforming sparse matrix codes by decoupling symbolic analysis., , , and . SC, page 13. ACM, (2017)Schedule-Independent Storage Mapping for Loops., , , and . ASPLOS, page 24-33. ACM Press, (1998)Performance Evaluation of an Irregular Application Parallelized in Java., and . ICPP Workshops, page 227-235. IEEE Computer Society, (2010)Non-affine Extensions to Polyhedral Code Generation., , , and . CGO, page 185. ACM, (2014)Transforming loop chains via macro dataflow graphs., , and . CGO, page 265-277. ACM, (2018)Loop Chaining: A Programming Abstraction for Balancing Locality and Parallelism., , , , , , , , , and 1 other author(s). IPDPS Workshops, page 375-384. IEEE, (2013)Optimizing Expression Selection for Lookup Table Program Transformation., , and . SCAM, page 84-93. IEEE Computer Society, (2012)Automating wavefront parallelization for sparse matrix computations., , , , , , and . SC, page 480-491. IEEE Computer Society, (2016)Analyzing Parallel Programming Models for Magnetic Resonance Imaging., , , and . LCPC, volume 10136 of Lecture Notes in Computer Science, page 188-202. Springer, (2016)