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Towards FPGA-assisted spark: An SVM training acceleration case study.

, , , and . ReConFig, page 1-6. IEEE, (2016)

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Reconfigurable Acceleration of Short Read Mapping with Biological Consideration., , , and . FPGA, page 229-239. ACM, (2021)High-throughput cellular imaging with high-speed asymmetric-detection time-stretch optical microscopy under FPGA platform., , , , , , , , and . ReConFig, page 1-6. IEEE, (2016)Reconfigurable acceleration of genetic sequence alignment: A survey of two decades of efforts., , and . FPL, page 1-8. IEEE, (2017)Acceleration of Short Read Alignment with Runtime Reconfiguration., , , , , and . FPT, page 256-262. IEEE, (2020)Real-time object detection and classification for high-speed asymmetric-detection time-stretch optical microscopy on FPGA., , , , , , , and . FPT, page 261-264. IEEE, (2016)A soft processor overlay with tightly-coupled FPGA accelerator.. University of Hong Kong, Pokfulam, Hong Kong, (2015)base-search.net (ftunivhongkonghu:oai:hub.hku.hk:10722/226791).Towards FPGA-assisted spark: An SVM training acceleration case study., , , and . ReConFig, page 1-6. IEEE, (2016)Memory-Efficient Architecture for Accelerating Generative Networks on FPGA., , , , , , , and . FPT, page 30-37. IEEE, (2018)A Parameterizable Activation Function Generator for FPGA-Based Neural Network Applications., , , , and . FCCM, page 84. IEEE Computer Society, (2017)Reconfigurable Acceleration of 3D-CNNs for Human Action Recognition with Block Floating-Point Representation., , , , , and . FPL, page 287-294. IEEE Computer Society, (2018)