A technical paper titled “ACTS: A Near-Memory FPGA Graph Processing Framework” was published by researchers at University of Virginia and Samsung. “Despite the high off-chip bandwidth and on-chip ...
Histograms are often useful tools for analyzing digital data. To get reliable results from a histogram, though, you must collect large amounts of data, often with 100,000 to 1 million points. If you ...
Graph Neural Networks (GNN) drive high demand for compute and memory performance. Software-only based GNN algorithm processing is insufficient to run these workloads. Learn how FPGA-based hardware ...
A technical paper titled “MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations” was published by researchers at University of Toronto, ETH ...