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MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime., , , , and . SC Workshops, page 1081-1092. ACM, (2023)Function inlining and loop unrolling for loop acceleration in reconfigurable processors., , , and . CASES, page 101-110. ACM, (2012)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)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)Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms., , , , and . ExHET@PPoPP, page 1:1-1:6. ACM, (2023)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)Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning., , , , and . SMC, volume 1690 of Communications in Computer and Information Science, page 227-243. Springer, (2022)