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ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training., , , , , , , , , and 1 other author(s). NeurIPS, (2020)Hardware solutions to reduce effective memory access time.. University of Michigan, USA, (2001)SAFER: Stuck-At-Fault Error Recovery for Memories., , , , and . MICRO, page 115-124. IEEE Computer Society, (2010)Scalable high performance main memory system using phase-change memory technology., , and . ISCA, page 24-33. ACM, (2009)RaPiD: AI Accelerator for Ultra-low Precision Training and Inference., , , , , , , , , and 44 other author(s). ISCA, page 153-166. IEEE, (2021)SPATL: Honey, I Shrunk the Coherence Directory., , , and . PACT, page 33-44. IEEE Computer Society, (2011)A Compiler for Deep Neural Network Accelerators to Generate Optimized Code for a Wide Range of Data Parameters from a Hand-crafted Computation Kernel., , , , , , , , and . COOL CHIPS, page 1-3. IEEE, (2019)A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference., , , , , , , , , and 33 other author(s). VLSI Circuits, page 1-2. IEEE, (2020)Workload-aware Automatic Parallelization for Multi-GPU DNN Training., , , , , and . CoRR, (2018)RECAP: A region-based cure for the common cold (cache)., , , , and . HPCA, page 83-94. IEEE Computer Society, (2013)