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PPOPP
2012
ACM
12 years 11 days ago
Chestnut: a GPU programming language for non-experts
Graphics processing units (GPUs) are powerful devices capable of rapid parallel computation. GPU programming, however, can be quite difficult, limiting its use to experienced prog...
Andrew Stromme, Ryan Carlson, Tia Newhall

Publication
248views
13 years 1 months ago
Equalizer: A Scalable Parallel Rendering Framework
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering sol...
Stefan Eilemann, Maxim Makhinya, Renato Pajarola
BIBE
2007
IEEE
208views Bioinformatics» more  BIBE 2007»
13 years 8 months ago
The GPU on biomedical image processing for color and phenotype analysis
The computational power and memory bandwidth of graphics processing units (GPUs) have turned them into attractive platforms for general-purpose applications. In this paper, we expl...
Antonio Ruiz, Manuel Ujaldon, Jose Antonio Andrade...
IEEECGIV
2006
IEEE
13 years 10 months ago
Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU
The tracking of features in real-time video streams forms the integral part of many important applications in human-computer interaction and computer vision. Unfortunately trackin...
Julius Fabian Ohmer, Frédéric Maire,...
ICCS
2009
Springer
13 years 11 months ago
A Massively Parallel Architecture for Bioinformatics
Abstract. Today’s general purpose computers lack in meeting the requirements on computing performance for standard applications in bioinformatics like DNA sequence alignment, err...
Gerd Pfeiffer, Stefan Baumgart, Jan Schröder,...