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  1. S-TRAC: An Algorithm–Hardware Co-design of Sparsity-aware Threshold Adjustment for Accelerator-based RISC-V ISA Extensions
  2. PPD: A Portable and Highly Parallel Dispatching System for Deep Learning
  3. A Custom RISC-V ISA with Scalable Processing Units for Efficient Neural Network Inference
  4. Toward Energy-efficient STT-MRAM-based Near Memory Computing Architecture for Embedded Systems
  5. APIM: An Antiferromagnetic MRAM-Based Processing-In-Memory System for Efficient Bit-level Operations of Quantized Convolutional Neural Networks
  6. A Survey of MRAM-Centric Computing: From Near Memory to In Memory
  7. Experimental Demonstration of STT-MRAM-based Nonvolatile Instantly On/Off System for IoT Applications: Case Studies