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» A performance prediction model for the CUDA GPGPU platform
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ICCS
2009
Springer
14 years 4 days ago
GPU Accelerated RNA Folding Algorithm
Many bioinformatics studies require the analysis of RNA or DNA structures. More specifically, extensive work is done to elaborate efficient algorithms able to predict the 2-D fold...
Guillaume Rizk, Dominique Lavenier
CLUSTER
2009
IEEE
13 years 3 months ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...
CGO
2010
IEEE
13 years 10 months ago
Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs
In this paper we describe techniques for compiling finegrained SPMD-threaded programs, expressed in programming models such as OpenCL or CUDA, to multicore execution platforms. Pr...
John A. Stratton, Vinod Grover, Jaydeep Marathe, B...
PC
2010
190views Management» more  PC 2010»
13 years 4 months ago
High-performance cone beam reconstruction using CUDA compatible GPUs
Compute unified device architecture (CUDA) is a software development platform that allows us to run C-like programs on the nVIDIA graphics processing unit (GPU). This paper prese...
Yusuke Okitsu, Fumihiko Ino, Kenichi Hagihara
ICPPW
2003
IEEE
13 years 11 months ago
Performance Analysis of Approximate String Searching Implementations for Heterogeneous Computing Platform
This paper presents an analytical performance prediction model that can be used to predict the speedup and similar performance metrics of four approximate string searching implemen...
Panagiotis D. Michailidis, Konstantinos G. Margari...