APPLICATIONS OF TECHNOLOGY: Rapid Single-Flux Quantum (RSFQ) circuits for superconducting digital computing in applications such as: High-speed and low power digital circuits Quantum computing Cryo-sensors HPC accelerators Datacenters BENEFITS: Methodology can design a toggle flip-flop with any number of outputs Reduction in area, power, and … [Read more...] about RSFQ Multiple Output Toggle Flip Flop for Area Efficient Superconducting Digital Computing 2023-037
Computer Architecture
A Hardware Accelerator for Optimized Sparse Accumulation in High Performance Computing 2022-066
APPLICATIONS OF TECHNOLOGY: Applications that utilize sparse graph or matrix algorithms in their computational workloads, like: Scientific computing Machine learning Social network analysis Image and signal processing BENEFITS: Improved sparse accumulation (SPA) throughput Improved core utilization Reduced energy consumption Minimal hardware … [Read more...] about A Hardware Accelerator for Optimized Sparse Accumulation in High Performance Computing 2022-066
Unary Single Flux Quantum (U-SFQ) Architecture for Scaling Superconducting Accelerators 2021-112
APPLICATIONS OF TECHNOLOGY: Applications that require high performance computing or high performance digital communications, such as: Artificial intelligence/Machine learning Image and video processing Digital signal processing Infrared sensors Space exploration equipment Quantum technology BENEFITS: Better performance and lower power/energy … [Read more...] about Unary Single Flux Quantum (U-SFQ) Architecture for Scaling Superconducting Accelerators 2021-112
An Area-efficient Superconducting Unary Convolutional Neural Network (CNN) Accelerator for High Performance Computing Systems 2022-056
APPLICATIONS OF TECHNOLOGY: Applications that require high performance computing using convolutional neural networks (CNNs), like: Data mining Medical imaging Autonomous vehicles National defense/security Scientific research Control circuits for quantum computing BENEFITS: More energy efficient than existing CNN hardware accelerators Smaller form … [Read more...] about An Area-efficient Superconducting Unary Convolutional Neural Network (CNN) Accelerator for High Performance Computing Systems 2022-056
Hecate: Data-driven, Machine Learning Augmented Dynamic Path Optimization for Network Performance 2021-010
APPLICATIONS OF TECHNOLOGY: Packet route calculation using real-time dynamic path optimization BENEFITS: Offers more reliable and optimal network performance compared to previous technologies BACKGROUND: Packet route calculation for traffic is routed through a large network based on label stack, such as in segment routing cases and SDN-controlled networks. … [Read more...] about Hecate: Data-driven, Machine Learning Augmented Dynamic Path Optimization for Network Performance 2021-010