Vector Signal Image Processing Library on GPU’s

Georgia Tech announced the “GPU VSIPL” recently at the High Performance Embedded Computing Conference. It’s a port of the familiar Vector Signal Image Processing Library to run on GPU’s via CUDA.

GPU VSIPL is an implementation of Vector Signal Image Processing Library that targets Graphics Processing Units (GPUs) supporting NVIDIA’s CUDA platform. By leveraging processors capable of 900 GFLOP/s or more, your application may achieve considerable speedup without any specialized development for GPUs. Our range-Doppler map application achieved a 75x speedup on the GPU simply by linking it with GPU VSIPL.

via GPU VSIPL.

This story written by Randall Hand

Randall Hand is a computer graphics programmer and news junky that's been working in the field for the last 15 years. He's responsible for visualizations generated on some of the most powerful supercomputers in the world, ytnef, mullion support in ParaView, and VizWorld.com.