Artificial intelligence helps soldiers learn many times faster in combat

Eurekalert  April 27, 2018
Stochastic Gradient Descent (SGD) is widely used for Collaborative Filtering, a well-known machine learning technique for recommender systems. A team of researchers in the US (ARL, University of Southern California) has developed an FPGA-based accelerator, FASTCF, to accelerate the SGD-based CF algorithm consisting of parallel, pipelined processing units which concurrently process distinct user ratings by accessing a shared on-chip buffer. Compared with non-optimized baseline designs, the hierarchical partitioning approach they used results in up to 60x data dependency reduction, 4.2x bank conflict reduction, and 15.4x speedup… read more. TECHNICAL ARTICLE