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We examine the acceleration of a robotic arm calibration algorithm using a general purpose GPU (GPGPU). The algorithm utilized requires a radial basis function neural network for calibration and takes approximately 9 days to run on a standard desktop computer. The most time consuming component of this algorithm is a matrix inversion operation. This is carried out on an NVIDIA GPGPU using the Cholesky Factorization. On an NVIDIA Tesla S1070 GPGPU, this same algorithm ran about 300 times faster than a standard desktop computer running an optimized version of the code.
Tarek M. Taha
Primary Advisor's Department
Electrical and Computer Engineering
Stander Symposium poster
Chen, Chong, "Accelerating Robotic Arm Calibration on GPGPUs" (2012). Stander Symposium Posters. 44.