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» Geometric Algorithms on CUDA
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IPPS
2009
IEEE
14 years 2 months ago
Singular value decomposition on GPU using CUDA
Linear algebra algorithms are fundamental to many computing applications. Modern GPUs are suited for many general purpose processing tasks and have emerged as inexpensive high per...
Sheetal Lahabar, P. J. Narayanan
IPPS
2009
IEEE
14 years 2 months ago
Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA
Emerging DNA sequencing technologies open up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, produced reads are signif...
Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang...
INTENSIVE
2009
IEEE
14 years 2 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
CORR
2010
Springer
107views Education» more  CORR 2010»
13 years 7 months ago
Fast GPGPU Data Rearrangement Kernels using CUDA
: Many high performance computing algorithms are bandwidth limited, hence the need for optimal data rearrangement kernels as well as their easy integration into the rest of the app...
Michael Bader, Hans-Joachim Bungartz, Dheevatsa Mu...
IPPS
2010
IEEE
13 years 5 months ago
Optimization of linked list prefix computations on multithreaded GPUs using CUDA
We present a number of optimization techniques to compute prefix sums on linked lists and implement them on multithreaded GPUs using CUDA. Prefix computations on linked structures ...
Zheng Wei, Joseph JáJá