Researchers at the Georgia Tech Research Institute (GTRI) are looking at new applications for NVidia‘s CUDA libraries and GPU’s for improving performance of common military applications.
“As radar systems and other sensor systems get more complicated, the computational requirements are becoming a bottleneck,” said GTRI senior research engineer Daniel Campbell. “We are capitalizing on the ability of GPUs to process radar, infrared sensor and video data faster than a typical computer and at a much lower cost and power than a computing cluster.”
They’re primarily using the Vector, Signal and Image Processing Library (VSIPL) to run GPU’s, and seeing improvements of 20x to 350x after porting them to GPU.
