The software is a set of libraries providing more than 500 digital signal processing and vector math functions optimized for Nvidia's GPUs. It is geared for applications including radar, sonar, image processing and signals intelligence.
“When compared to FPGA-based application development, CUDA has been demonstrated to be both faster and less expensive,” said Rob McKeel, vice president of military and aerospace embedded computing for the GE unit, speaking in a press statement.
GE picks NVIDIA CUDA for mil-aero markets
Posted on Tuesday, September 21 2010 @ 4:20 CEST by Thomas De Maesschalck