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LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs., , , and . FPGA, page 146. ACM, (2021)HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers., , , , , , , , , and 1 other author(s). HPCA, page 442-455. IEEE, (2023)Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks., , , , and . ICCAD, page 12:1-12:8. ACM, (2016)Supporting Address Translation for Accelerator-Centric Architectures., , , and . HPCA, page 37-48. IEEE Computer Society, (2017)ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architecture (Abstact Only)., , , and . FPGA, page 281. ACM, (2016)A quantitative analysis on microarchitectures of modern CPU-FPGA platforms., , , , , and . DAC, page 109:1-109:6. ACM, (2016)Measuring Microarchitectural Details of Multi- and Many-Core Memory Systems through Microbenchmarking., , , , , , and . ACM Trans. Archit. Code Optim., 11 (4): 55:1-55:26 (2014)HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks., , , , , and . FCCM, page 203. IEEE, (2023)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results., , , , , , , , , and 2 other author(s). DAC, page 1396-1397. ACM, (2022)High-Throughput Lossless Compression on Tightly Coupled CPU-FPGA Platforms., , , , , and . FCCM, page 37-44. IEEE Computer Society, (2018)