GPU-accelerated "green" technology for fast analysis of nano-composites
Yip, Chok Meng. 2014. GPU-Accelerated "Green" Technology for Fast Analysis of Nano-Composites. -- In Proceedings: 10th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p. 170
In this work, we investigate an energy-efficient simulation technique using NVIDIA compute unified device architecture (CUDA) to fast analysis of nanomaterial properties. In this approach, multithreaded parallel programming is used to solve the concurrent/parallel segments of the problem. The sequential portion of the program is executed on a multicore central processing unit (CPU), and the parallel portion of the program is executed on a graphics processing unit (GPU). Experimental results from finite difference method (FDM)-based on Laplace's equation demonstrate up to 257x speedup and 97% energy savings over a parallel MATLAB implementation while solving a 4Kx4K problem with reasonable accuracy.
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Research completed at Department of Electrical Engineering and Computer Science, College of Engineering