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UniWiG: Unified Winograd-GEMM Architecture for Accelerating CNN on FPGAs.

, , , and . VLSID, page 209-214. IEEE, (2019)

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Energy Aware Synthesis of Application Kernels Expressed in Functional Languages on a Coarse Grained Composable Reconfigurable Array., , , , and . iNIS, page 7-12. IEEE, (2015)Two dimensional FFT architecture based on radix-43 algorithm with efficient output reordering., , , , and . DTIS, page 1-2. IEEE, (2018)Micro-architectural Enhancements in Distributed Memory CGRAs for LU and QR Factorizations., , , , , , , , , and 1 other author(s). VLSID, page 153-158. IEEE Computer Society, (2015)Efficient Hardware Acceleration of Convolutional Neural Networks., , , and . SoCC, page 191-192. IEEE, (2019)Synthesis of Instruction Extensions on HyperCell, a reconfigurable datapath., , , , , and . ICSAMOS, page 215-224. IEEE, (2014)A Hardware-Software Co-design based Approach for Development of a Distributed DAQ System using FPGA., , and . VDAT, page 1-6. IEEE, (2021)UniWiG: Unified Winograd-GEMM Architecture for Accelerating CNN on FPGAs., , , and . VLSID, page 209-214. IEEE, (2019)Design Space Exploration of Convolution Algorithms to Accelerate CNNs on FPGA., , , and . ISED, page 21-25. IEEE, (2018)Energy Efficient, Scalable, and Dynamically Reconfigurable FFT Architecture for OFDM Systems., , , and . ISED, page 20-24. IEEE Computer Society, (2014)Hardware Acceleration of SpMV Multiplier for Deep Learning., , and . VDAT, page 1-6. IEEE, (2021)