Results 281 to 290 of about 48,067 (311)
Some of the next articles are maybe not open access.
Efficient computation of histograms on the GPU
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007Recently, several image processing algorithms have been ported on the GPU because of its fast increase of performance. Some of these algorithms need to compute a histogram, but the computation of the histogram is not well supported on the GPU because of its architecture.
Alexander Kubias +3 more
openaire +1 more source
Mapping computational concepts to GPUs
ACM SIGGRAPH 2005 Courses on - SIGGRAPH '05, 2005Recently, graphics processors have emerged as a powerful computational platform. A variety of encouraging results, mostly from researchers using GPUs to accelerate scientific computing and visualization applications, have shown that significant speedups can be achieved by applying GPUs to data-parallel computational problems.
openaire +1 more source
GPU‐accelerated computation of electron transfer
Journal of Computational Chemistry, 2012AbstractElectron transfer is a fundamental process that can be studied with the help of computer simulation. The underlying quantum mechanical description renders the problem a computationally intensive application. In this study, we probe the graphics processing unit (GPU) for suitability to this type of problem.
HOEFINGER, SIEGFRIED +6 more
openaire +3 more sources
Adding GPU Computing to Computer Organization Courses
2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2013How can parallel computing topics be incorporated into core courses that are taken by the majority of undergraduate students? This paper reports our experiences adding GPU computing with CUDA into the core undergraduate computer organization course at two different colleges.
David P. Bunde +3 more
openaire +1 more source
Three Applications of GPU Computing in Neuroscience
Computing in Science & Engineering, 2012Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that the GPU speedup considerably helps answer a scientific or technological question.
Javier Baladron Pezoa +2 more
openaire +2 more sources
GPU Computing for Atmospheric Modeling
Computing in Science & Engineering, 2010Much success has been achieved using GPUs to accelerate existing applications that are highly data parallel, or that are dominated by small, intense computational kernels. What are the prospects for porting existing large scientific models that do not fit this mold?
openaire +1 more source
The GPU enters computing's mainstream
Computer, 2003The Siggraph/Eurographics Graphics Hardware 2003 workshop, held in San Diego, will likely be remembered as a turning point in modern computing. In one of those rare moments when a new paradigm visibly begins changing general-purpose computing's course, what has traditionally been a graphics-centric workshop shifted its attention to the nongraphics ...
openaire +1 more source
GPU Computing for Compute-Intensive Scientific Calculation
2019GPU has emerged as a platform that off-loads computation intensive work from CPU and performs numerical computations in less time. One such mathematical operation is matrix multiplication. Matrix is one of the fundamental mathematical objects used in the scientific calculation, with applicability in various fields such as computer graphics, analysis of
Sandhya Parasnath Dubey +2 more
openaire +1 more source
GPU computing---General-purpose GPU computing
Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06, 2006openaire +1 more source