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Coarse grained reconfigurable architectures in the past 25 years: Overview and classification.

, , and . SAMOS, page 235-244. IEEE, (2016)

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Reduction Operator for Wide-SIMDs Reconsidered., , , and . DAC, page 108:1-108:6. ACM, (2014)ConvFusion: A Model for Layer Fusion in Convolutional Neural Networks., , , , and . IEEE Access, (2021)Schedule Synthesis for Halide Pipelines through Reuse Analysis., , , , , and . ACM Trans. Archit. Code Optim., 16 (2): 10:1-10:22 (2019)SIMD made explicit., , , and . ICSAMOS, page 330-337. IEEE, (2013)A Low-Energy Wide SIMD Architecture with Explicit Datapath., , , and . J. Signal Process. Syst., 80 (1): 65-86 (2015)How to exploit sparsity in RNNs on event-driven architectures., , and . SCOPES, page 17-22. ACM, (2021)Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators., , , , and . IEEE Trans. Parallel Distributed Syst., 34 (4): 1227-1240 (April 2023)How Flexible is Your Computing System., , and . CoRR, (2021)A configurable SIMD architecture with explicit datapath for intelligent learning., , , , , , , and . SAMOS, page 156-163. IEEE, (2016)Datawidth-Aware Energy-Efficient Multipliers: A Case for Going Sign Magnitude., , , and . DSD, page 54-61. IEEE Computer Society, (2018)