IEEE

Dynamic Flow Scheduling for DNN Training Workloads in Data Centers

Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.
Opinion

The 3D-Flow Architecture Breakthrough: A Universal, Scalable Digital Processor for Real-Time Pattern Recognition in High-Rate Data Streams -- A Platform to Save Millions of ...

Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...
IEEE

A Knowledge Graph Approach to Cyber Threat Mitigation Derived from Data Flow Diagrams

Abstract: Data Flow Diagrams (DFD) have proven effective in designing and analyzing the flow of data in enterprise systems. They serve as indispensable tools for enterprises that are undergoing ...
EDN

Expanding power delivery in systems with USB PD 3.1

Microchip’s USB PD dual-charging-port reference board demos digitally controlled smart charging applications for different ...