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RNA: a reconfigurable architecture for hardware neural acceleration.

, , , , and . DATE, page 695-700. ACM, (2015)

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Memory fartitioning-based modulo scheduling for high-level synthesis., , , , , and . ISCAS, page 1-4. IEEE, (2017)Reconfigurable computing - evolution of Von Neumann architecture.. FPT, IEEE, (2010)A Coarse-Grained Reconfigurable Architecture for Compute-Intensive MapReduce Acceleration., , , , and . Computer Architecture Letters, 15 (2): 69-72 (2016)Polyhedral model based mapping optimization of loop nests for CGRAs., , , and . DAC, page 19:1-19:8. ACM, (2013)Data cache prefetching via context directed pattern matching for coarse-grained reconfigurable arrays., , , and . DAC, page 64:1-64:6. ACM, (2016)Affine transformations for communication and reconfiguration optimization of loops on CGRAs., , , and . ISCAS, page 2541-2544. IEEE, (2013)A 2.69 Mbps/mW 1.09 Mbps/kGE Conjugate Gradient-based MMSE Detector for 64-QAM 128×8 Massive MIMO Systems., , , , , and . A-SSCC, page 191-194. IEEE, (2018)AEPE: An area and power efficient RRAM crossbar-based accelerator for deep CNNs., , , , , , , , , and . NVMSA, page 1-6. IEEE, (2017)Energy-aware loops mapping on multi-vdd CGRAs without performance degradation., , , and . ASP-DAC, page 312-317. IEEE, (2017)LCP: a layer clusters paralleling mapping method for accelerating inception and residual networks on FPGA., , , , , and . DAC, page 16:1-16:6. ACM, (2018)