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» Introduction to GPU programming
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PC
2010
177views Management» more  PC 2010»
14 years 8 months ago
Parallel graph component labelling with GPUs and CUDA
Graph component labelling, which is a subset of the general graph colouring problem, is a computationally expensive operation that is of importance in many applications and simula...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
CEC
2008
IEEE
15 years 4 months ago
Evolution of image filters on graphics processor units using Cartesian Genetic Programming
— Graphics processor units are fast, inexpensive parallel computing devices. Recently there has been great interest in harnessing this power for various types of scientific comp...
Simon Harding
SIGARCH
2010
91views more  SIGARCH 2010»
14 years 4 months ago
Programming framework for clusters with heterogeneous accelerators
We describe a programming framework for high performance clusters with various hardware accelerators. In this framework, users can utilize the available heterogeneous resources pr...
Kuen Hung Tsoi, Anson H. T. Tse, Peter Pietzuch, W...
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PLDI
2010
ACM
15 years 2 months ago
A GPGPU compiler for memory optimization and parallelism management
This paper presents a novel optimizing compiler for general purpose computation on graphics processing units (GPGPU). It addresses two major challenges of developing high performa...
Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou
PEPM
1993
ACM
15 years 1 months ago
Binding-Time Analysis and the Taming of C Pointers
The aim of binding-time analysis is to determine when variables, expressions, statements, etc. in a program can be evaluated by classifying these into static (compile-time) and dy...
Lars Ole Andersen