Search Results - ke+wang

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Reinforcement Learning for Fault-tolerant Energy-efficient NoC Design
Researchers at GW have developed a novel, cost-effective, energy-efficient computer architecture design based on reinforcement learning (RL) for use in various computing applications. The disclosed design has better fault-tolerance, reliability, network latency than existing solutions. The disclosed computer architecture design can include an Error...
Published: 7/30/2024   |   Inventor(s): Ahmed Louri, Ke Wang
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Cybersecurity, Technology Classifications > Computers Electronics & Software > Processing Chips
Network Design for Chiplet-based Manycore Architecture
Researchers at The George Washington University are developing a flexible interconnection network design, called Adapt-Net, for chiplet-based manycore architectures. The goal of Adapt-Net is to support the concurrent communication of diverse applications running at the same time, improving the energy-efficiency and performance of the manycore architecture....
Published: 7/30/2024   |   Inventor(s): Hao Zheng, Ke Wang, Ahmed Louri
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Computing Architecture
Learning-Based High-Performance, Energy-Efficient, and Secure Interconnection Design Framework
Researchers at the George Washington University have invented a novel network-on-chip framework, named TSA-NoC, which significantly improves on-chip security. The invented framework also minimizes the latency and cost of security techniques for simultaneously improving system-level performance and power. As the market for parallel computing is growing...
Published: 7/30/2024   |   Inventor(s): Ke Wang, Hao Zheng, Ahmed Louri
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Processing Chips