Presentation 2014/6/18
Protein-Protein Docking System on Large-Scale GPU Clusters
MASAHITO OHUE, TAKEHIRO SHIMODA, YURI MATSUZAKI, TAKASHI ISHIDA, YUTAKA AKIYAMA,
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Abstract(in English) The application of protein-protein docking to the large-scale interactome analysis, the treatment of protein flexibility or multiple protein-protein docking problem are current challenges in structural bioinformatics that require huge computing resource. In this work we present MEGADOCK 4.0, an FFT-based docking software which makes extensive use of recent GPU supercomputers and show the powerful scalable performance of over 97% strong scaling with TSUBAME 2.5 supercomputing system. In addition, a million protein-protein docking jobs can be calculated about a half day by using 420 nodes of TSUBAME 2.5.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Protein-Protein Docking / GPU Cluster / TSUBAME 2.5 / MEGADOCK
Paper # Vol.2014-MPS-98 No.32,Vol.2014-BIO-38 No.32
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Conference Information
Committee IBISML
Conference Date 2014/6/18(1days)
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Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Protein-Protein Docking System on Large-Scale GPU Clusters
Sub Title (in English)
Keyword(1) Protein-Protein Docking
Keyword(2) GPU Cluster
Keyword(3) TSUBAME 2.5
Keyword(4) MEGADOCK
1st Author's Name MASAHITO OHUE
1st Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology:Japan Society for the Promotion of Science()
2nd Author's Name TAKEHIRO SHIMODA
2nd Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology
3rd Author's Name YURI MATSUZAKI
3rd Author's Affiliation Education Academy of Computational Life Sciences, Tokyo Institute of Technology
4th Author's Name TAKASHI ISHIDA
4th Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology
5th Author's Name YUTAKA AKIYAMA
5th Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Technology:Education Academy of Computational Life Sciences, Tokyo Institute of Technology
Date 2014/6/18
Paper # Vol.2014-MPS-98 No.32,Vol.2014-BIO-38 No.32
Volume (vol) vol.114
Number (no) 105
Page pp.pp.-
#Pages 4
Date of Issue