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ICANN
2010
Springer
13 years 7 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
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
14 years 1 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
ISBI
2009
IEEE
14 years 1 months 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....
JCC
2010
105views more  JCC 2010»
13 years 5 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
MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
13 years 4 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