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On Using the Roofline Model with Lower Bounds on Data Movement., , , , , , and . ACM Trans. Archit. Code Optim., 11 (4): 67:1-67:23 (2014)Distributed memory code generation for mixed Irregular/Regular computations., , , , , , and . PPoPP, page 65-75. ACM, (2015)Beyond Reuse Distance Analysis: Dynamic Analysis for Characterization of Data Locality Potential., , , , , , , and . CoRR, (2014)Beyond reuse distance analysis: Dynamic analysis for characterization of data locality potential., , , , , , , and . ACM Trans. Archit. Code Optim., 10 (4): 53:1-53:29 (2013)On Characterizing the Data Access Complexity of Programs., , , , and . CoRR, (2014)Shared Microexponents: A Little Shifting Goes a Long Way., , , , , , , , , and 12 other author(s). CoRR, (2023)Pase: Parallelization Strategies for Efficient DNN Training.. IPDPS, page 1025-1034. IEEE, (2021)Microscaling Data Formats for Deep Learning., , , , , , , , , and 23 other author(s). CoRR, (2023)Diesel: DSL for linear algebra and neural net computations on GPUs., , , , and . MAPL@PLDI, page 42-51. ACM, (2018)Spatial adaptive sampling in multiscale simulation., , , , , , , , , and 2 other author(s). Comput. Phys. Commun., 185 (7): 1857-1864 (2014)