最新

• 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
• 基于忆阻器的近似计算方法
• 实现软硬件解耦合的类脑计算硬件设计方法
• 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
• 面向阻变存储器的长短期记忆网络加速器的训练和软件仿真
• 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