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» Density-based clustering using graphics processors
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CIKM
2009
Springer
13 years 9 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
HICSS
2009
IEEE
119views Biometrics» more  HICSS 2009»
13 years 11 months ago
Using Graphics Processors for Parallelizing Hash-Based Data Carving
The ability to detect fragments of deleted image files and to reconstruct these image files from all available fragments on disk is a key activity in the field of digital forensic...
Sylvain Collange, Yoginder S. Dandass, Marc Daumas...
BICOB
2009
Springer
13 years 11 months ago
Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors
Atomistic molecular dynamics (MD) simulations are a vital tool in chemical research, as they are able to provide a view of chemical systems and processes that is not obtainable thr...
Joseph E. Davis, Adnan Ozsoy, Sandeep Patel, Miche...
INTENSIVE
2009
IEEE
13 years 11 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
PCI
2005
Springer
13 years 10 months ago
Initial Experiences Porting a Bioinformatics Application to a Graphics Processor
Bioinformatics applications are one of the most relevant and compute-demanding applications today. While normally these applications are executed on clusters or dedicated parallel ...
Maria Charalambous, Pedro Trancoso, Alexandros Sta...