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Inferring Genome-Wide Gene Regulatory Networks with GPU or CPU Parallel Algorithm Cover

Inferring Genome-Wide Gene Regulatory Networks with GPU or CPU Parallel Algorithm

Open Access
|Apr 2018

Abstract

Expression of gene block, with the GPU parallel thread structure characteristic calculation, according to the structural characteristics of GPU thread design of double parallel mode, and the use of texture cache memory to achieve high efficiency; on the basis of CPU two level cache capacity of basic blocks further subdivided into sub blocks to improve the cache hit rate, the technology to reduce the number of memory accesses the use of data, reduce the thread migration in the core between the use of thread binding technology; according to the calculated capacity allocation of multi-core CPU and GPU CPU and GPU gene in the mutual information calculation task to calculate the load balance of CPU and GPU; in the design of the new threshold calculation algorithm based on the design and implementation of memory efficient construction of global gene control network CPU /GPU parallel algorithm. The experimental results show that compared with the existing algorithms, this algorithm speed is more obvious, and is able to build more large-scale global gene regulation Control network.

Language: English
Page range: 15 - 19
Published on: Apr 10, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Ming Zheng, Mugui Zhuo, Shugong Zhang, Guixia Liu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.