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GCB
2009
Springer
481views Biometrics» more  GCB 2009»
15 years 4 months ago
CUDA-based Multi-core Implementation of MDS-based Bioinformatics Algorithms
: Solving problems in bioinformatics often needs extensive computational power. Current trends in processor architecture, especially massive multi-core processors for graphic cards...
Thilo Fester, Falk Schreiber, Marc Strickert
53
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IPPS
2009
IEEE
15 years 4 months 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...
CORR
2010
Springer
107views Education» more  CORR 2010»
14 years 9 months ago
Fast GPGPU Data Rearrangement Kernels using CUDA
: Many high performance computing algorithms are bandwidth limited, hence the need for optimal data rearrangement kernels as well as their easy integration into the rest of the app...
Michael Bader, Hans-Joachim Bungartz, Dheevatsa Mu...
CCGRID
2010
IEEE
14 years 10 months ago
Cooperative Multitasking for GPU-Accelerated Grid Systems
Exploiting the graphics processing unit (GPU) is useful to obtain higher performance with a less number of host machines in grid systems. One problem in GPU-accelerated grid system...
Fumihiko Ino, Akihiro Ogita, Kentaro Oita, Kenichi...
CORR
2010
Springer
178views Education» more  CORR 2010»
14 years 9 months ago
Fast Histograms using Adaptive CUDA Streams
Histograms are widely used in medical imaging, network intrusion detection, packet analysis and other streambased high throughput applications. However, while porting such software...
Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasim...