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A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication., , , , and . FCCM, page 36-43. IEEE Computer Society, (2014)Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor., , , , , , , , , and 10 other author(s). IEEE Micro, 39 (3): 20-28 (2019)A Tradeoff Analysis of FPGAs, GPUs, and Multicores for Sliding-Window Applications., , , and . TRETS, 8 (1): 2:1-2:24 (2015)A Configurable Cloud-Scale DNN Processor for Real-Time AI., , , , , , , , , and 10 other author(s). ISCA, page 1-14. IEEE Computer Society, (2018)A cloud-scale acceleration architecture., , , , , , , , , and 8 other author(s). MICRO, page 1-13. IEEE Computer Society, (2016)A reconfigurable fabric for accelerating large-scale datacenter services., , , , , , , , , and 13 other author(s). ISCA, page 13-24. IEEE Computer Society, (2014)A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs., , , and . FCCM, page 52-59. IEEE Computer Society, (2015)A reconfigurable fabric for accelerating large-scale datacenter services., , , , , , , , , and 13 other author(s). Commun. ACM, 59 (11): 114-122 (2016)Dynafuse: dynamic dependence analysis for FPGA pipeline fusion and locality optimizations., and . FPGA, page 201-210. ACM, (2013)A comparison of correntropy-based feature tracking on FPGAs and GPUs., , , and . ASAP, page 237-240. IEEE Computer Society, (2013)