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CMPB
2010
186views more  CMPB 2010»
13 years 7 months ago
GPU-based cone beam computed tomography
The use of cone beam computed tomography (CBCT) is growing in the clinical arena due to its ability to provide 3-D information during interventions, its high diagnostic quality (su...
Peter B. Noël, Alan M. Walczak, Jinhui Xu, Ja...
ISCA
2010
IEEE
405views Hardware» more  ISCA 2010»
14 years 22 days ago
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU
Recent advances in computing have led to an explosion in the amount of data being generated. Processing the ever-growing data in a timely manner has made throughput computing an i...
Victor W. Lee, Changkyu Kim, Jatin Chhugani, Micha...
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU
— This paper describes a design and implementation of the Smith-Waterman algorithm accelerated on the graphics processing unit (GPU). Our method is implemented using compute uni...
Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara
PDP
2011
IEEE
12 years 11 months ago
Accelerating Parameter Sweep Applications Using CUDA
—This paper proposes a parallelization scheme for parameter sweep (PS) applications using the compute unified device architecture (CUDA). Our scheme focuses on PS applications w...
Masaya Motokubota, Fumihiko Ino, Kenichi Hagihara
JCC
2010
105views more  JCC 2010»
13 years 6 months ago
PAPER - Accelerating parallel evaluations of ROCS
Abstract: Modern graphics processing units (GPUs) are flexibly programmable and have peak computational throughput significantly faster than conventional CPUs. Herein, we describ...
Imran S. Haque, Vijay S. Pande