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Characterizing the Effectiveness of Hot Sparing on Cost and Performance-per-Watt in Application Specific SIMT.

, and . Integr., (2019)

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Efficient Performance Evaluation of Multi-Core SIMT Processors with Hot Redundancy., and . IEEE Trans. Emerg. Top. Comput., 6 (4): 498-510 (2018)Faster Inference of Integer SWIN Transformer by Removing the GELU Activation., , , , and . CoRR, (2024)BERTPerf: Inference Latency Predictor for BERT on ARM big.LITTLE Multi-Core Processors., , , , and . SiPS, page 1-6. IEEE, (2022)Characterizing the Effectiveness of Hot Sparing on Cost and Performance-per-Watt in Application Specific SIMT., and . Integr., (2019)Area, Throughput, and Power Trade-Offs for FPGA- and ASIC-Based Execution Stream Compression., , , , and . ACM Trans. Embed. Comput. Syst., 16 (4): 96:1-96:20 (2017)PipeBERT: High-throughput BERT Inference for ARM Big.LITTLE Multi-core Processors., , , , , and . J. Signal Process. Syst., 95 (7): 877-894 (July 2023)Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT., , , and . ASAP, page 69-75. IEEE, (2023)Hot sparing for lifetime-chip-performance and cost improvement in application specific SIMT processors., and . Des. Autom. Embed. Syst., 24 (4): 249-266 (2020)Training Acceleration of Frequency Domain CNNs Using Activation Compression., , , and . ISCAS, page 1-5. IEEE, (2023)Fast Heterogeneous Task Mapping for Reducing Edge DNN Latency., , , , and . ASAP, page 64-71. IEEE, (2022)