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.

About the Author: Randall Hand

Randall Hand is a visualization scientist working for a federal research lab, aiding researchers to discover the insights buried within their terabyte datasets generated on some of the most powerful supercomputers in the world. He also runs VizWorld.com .

Science cuda, gpgpu, library