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» Accelerating Morphological Analysis with Graphics Hardware
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MM
2005
ACM
215views Multimedia» more  MM 2005»
13 years 11 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
ISPASS
2010
IEEE
14 years 6 days ago
Visualizing complex dynamics in many-core accelerator architectures
—While many-core accelerator architectures, such as today’s Graphics Processing Units (GPUs), offer orders of magnitude more raw computing power than contemporary CPUs, their m...
Aaron Ariel, Wilson W. L. Fung, Andrew E. Turner, ...
ICCAD
1995
IEEE
170views Hardware» more  ICCAD 1995»
13 years 8 months ago
Acceleration techniques for dynamic vector compaction
: We present several techniques for accelerating dynamic vector compaction for combinational and sequential circuits. A key feature of all our techniques is that they significantly...
Anand Raghunathan, Srimat T. Chakradhar
BMCBI
2010
218views more  BMCBI 2010»
13 years 5 months ago
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets
Background: Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine multiple cores into a single chip to improve...
Michael Scharfe, Rainer Pielot, Falk Schreiber
SAC
2005
ACM
13 years 11 months ago
Time-varying, multivariate volume data reduction
Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale si...
Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens