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» 3D finite difference computation on GPUs using CUDA
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CSE
2008
IEEE
13 years 7 months ago
Exploiting Intensive Multithreading for the Efficient Simulation of 3D Seismic Wave Propagation
Parallel computing is widely used for large scale threedimensional simulation of seismic wave propagation. One particularity of most of these simulations is to consider a finite c...
Fabrice Dupros, Hideo Aochi, Ariane Ducellier, Dim...
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
14 years 16 days ago
FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs
— As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore’s law, the computing industry has switched its route...
Alexandros Papakonstantinou, Karthik Gururaj, John...
IPPS
2009
IEEE
14 years 14 days ago
Evaluating the use of GPUs in liver image segmentation and HMMER database searches
In this paper we present the results of parallelizing two life sciences applications, Markov random fieldsbased (MRF) liver segmentation and HMMER’s Viterbi algorithm, using GP...
John Paul Walters, Vidyananth Balu, Suryaprakash K...
IPPS
2009
IEEE
14 years 13 days ago
Exploring the multiple-GPU design space
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s...
Dana Schaa, David R. Kaeli
ASPLOS
2011
ACM
12 years 9 months ago
Sponge: portable stream programming on graphics engines
Graphics processing units (GPUs) provide a low cost platform for accelerating high performance computations. The introduction of new programming languages, such as CUDA and OpenCL...
Amir Hormati, Mehrzad Samadi, Mark Woh, Trevor N. ...