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Exploring Spiking Neural Network on Coarse-Grain Reconfigurable Architectures., , , , , , , , and . MES, page 64-67. ACM, (2014)RuRot: Run-time rotatable-expandable partitions for efficient mapping in CGRAs., , , , , , , and . ICSAMOS, page 233-241. IEEE, (2014)Compression Based Efficient and Agile Configuration Mechanism for Coarse Grained Reconfigurable Architectures., , , , and . IPDPS Workshops, page 290-293. IEEE, (2011)Implementation and evaluation of configuration scrubbing on CGRAs: A case study., , , , , and . ISSoC, page 1-8. IEEE, (2013)NeuroCGRA: A CGRA with support for neural networks., , , , , , and . HPCS, page 506-511. IEEE, (2014)Parallel distributed scalable runtime address generation scheme for a coarse grain reconfigurable computation and storage fabric., , , , , and . Microprocess. Microsystems, 38 (8): 788-802 (2014)Can a reconfigurable architecture beat ASIC as a CNN accelerator?, , and . SAMOS, page 97-104. IEEE, (2017)Clock Tree Generation by Abutment in Synchoros VLSI Design., , , and . NorCAS, page 1-7. IEEE, (2021)MTP-Caffe: Memory, Timing, and Power aware tool for mapping CNNs to GPUs., , , and . PARMA-DITAM@HiPEAC, page 31-36. ACM, (2017)Compact generic intermediate representation (CGIR) to enable late binding in coarse grained reconfigurable architectures., , , , and . FPT, page 1-6. IEEE, (2011)