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LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS.

, , , , and . RSDHA@SC, page 12-21. IEEE, (2022)

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Function inlining and loop unrolling for loop acceleration in reconfigurable processors., , , and . CASES, page 101-110. ACM, (2012)MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime., , , , and . SC Workshops, page 1081-1092. ACM, (2023)Deffe: a data-efficient framework for performance characterization in domain-specific computing., , , and . CF, page 182-191. ACM, (2020)Ultra Low Latency Machine Learning for Scientific Edge Applications., , , , , and . FPL, page 1-7. IEEE, (2022)Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms., , , , and . ExHET@PPoPP, page 1:1-1:6. ACM, (2023)Retargetable automatic generation of compound instructions for CGRA based reconfigurable processor applications., , , and . CASES, page 4:1-4:9. ACM, (2014)SAMOSA: Scratchpad aware mapping of streaming applications., , , , and . SoC, page 48-55. IEEE, (2011)Low Complex & High Accuracy Computation Approximations to Enable On-Device RNN Applications., , , , , , and . ISCAS, page 1-5. IEEE, (2019)Optimal SDRAM Buffer Allocator for Efficient Reuse of Layer IO in CNNs Inference Framework., , , , , and . ISCAS, page 1-5. IEEE, (2018)Scenario Based Mapping of Dynamic Applications on MPSoC: A 3D Graphics Case Study., , , , , and . SAMOS, volume 5657 of Lecture Notes in Computer Science, page 48-57. Springer, (2009)