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CRAFT Lab
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Weimin Zheng

Weimin Zheng

Professor

Latest

  • ActiveN: A Scalable and Flexibly-programmable Event-driven Neuromorphic Processor
  • MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Inference
  • ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters
  • Accelerating Neural Network Training with Processing-in-Memory GPU
  • A review of basic software for brain-inspired computing
  • Approximate computing method based on memristors
  • A Proposal of Software-Hardware Decoupling Hardware Design Method for Brain-Inspired Computing
  • Towards "general purpose" brain-inspired computing system
  • XB-SIM*: A Simulation Framework for Modeling and Exploration of ReRAM-Based CNN Acceleration Design
  • A system hierarchy for brain-inspired computing
  • Hardware implementation of spiking neural networks on FPGA
  • Training and Software Simulation for ReRAM-Based LSTM Neural Network Acceleration
  • In-Place Irregular Computation for Message-Passing Chip-Multiprocessors
  • Hardware support for message-passing in chip multi-processors
  • Optimized Mapping Spiking Neural Networks onto Network-on-Chip
  • Modelling Spiking Neural Network from the Architecture Evaluation Perspective
  • Software-Based Lightweight Multithreading to Overlap Memory-Access Latencies of Commodity Processors
  • A Cloud Gaming System Based on User-Level Virtualization and Its Resource Scheduling

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