November 2011
Intermediate to advanced
560 pages
17h 46m
English
Content preview from GPU Computing Gems Jade Edition
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Chapter 5
Efficient CUDA Algorithms for the Maximum Network Flow Problem
Jiadong Wu, Zhengyu He and Bo Hong
In this chapter, we present graphical processing unit (GPU) algorithms for the maximum network flow problem. Maximum network flow is a fundamental graph theory problem with applications in many areas. Compared with data-parallel problems that have been deployed onto GPUs, the maximum network flow problem is more challenging for GPUs owing to intensive data and control dependencies. Two GPU-based maximum flow algorithms will be presented in this chapter — the first one is asynchronous and lock free, whereas the second one is synchronized through the precoloring technique. We will demonstrate in this chapter that, with careful considerations ...
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