Sciweavers

63 search results - page 5 / 13
» Accelerating Large Graph Algorithms on the GPU Using CUDA
Sort
View
210
Voted
ICANN
2010
Springer
15 years 6 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
194
Voted
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
16 years 9 days 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
161
Voted
ISBI
2009
IEEE
16 years 19 days ago
Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms
Although iterative reconstruction techniques (IRTs) have been shown to produce images of superior quality over conventional filtered back projection (FBP) based algorithms, the u...
Byunghyun Jang, David R. Kaeli, Synho Do, Homer H....
129
Voted
JCC
2010
105views more  JCC 2010»
15 years 4 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
157
Voted
MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
15 years 3 months ago
Throughput-Effective On-Chip Networks for Manycore Accelerators
As the number of cores and threads in manycore compute accelerators such as Graphics Processing Units (GPU) increases, so does the importance of on-chip interconnection network des...
Ali Bakhoda, John Kim, Tor M. Aamodt