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2016 Workshop on Accelerator-Enabled Algorithms and Applications in Bioinformatics (WACEBI 2016)
in conjunction with IEEE BIBM 2016, Shenzhen, China, December 15-18, 2016
Call for Papers:
Advances in high-throughput technologies (such as cost-affordable sequencing of whole genomes, population-scale variation screening, or mass spectrometry-based proteomics) are continually propelling related bioinformatics research into the era of big data. This establishes a strong need of sophisticated parallel algorithms and architectures for fast and efficient processing of large-scale biological datasets. To address these challenges, diverse accelerators have been used to accelerate important and computationally demanding applications in Bioinformatics. Typical accelerators include but not limited to FPGAs, GPUs, Intel Xeon Phi coprocessors, Intel SSE and AVX vector processing units, Micron Automata Processors, and custom hardware chips. Meanwhile, various parallel algorithms inherently enabling to use accelerators have been or are being developed as well.
This workshop focuses on accelerator-enabled parallel algorithms and applications in Bioinformatics, and will award a Best GPU Paper Award to an outstanding paper based on GPU computing. This Best GPU Paper Award is generously sponsored by NVIDIA Corporation and the prize is one GeForce GTX Titan X graphics card (state-of-the-art GPU and worth of $1000). We will consider original submissions that (1) use accelerator technologies to address important biological problems, or (2) propose new parallel algorithms and software tools elaborated to have the potential and feasibility to exploit accelerators. Topics of interest include but are not limited to:
(1) Biological sequence database
(2) Biological sequence analysis
(3) Computational genomics and proteomics
(4) Infrastructure and systems tools for high-performance bioinformatics
(5) Metagenomics
(6) Next-generation sequencing
(7) Phylogeny inference
(8) Protein structure prediction and modeling
(9) Workflow and systems for big biological data management
The WACEBI 2016 workshop will be held in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine 2016 (IEEE BIBM 2016), Shenzhen, China, Dec. 15-18, 2016.
Online Submission
Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system (you can download the format instruction from here). Electronic submissions (in PDF or Postscript format) are required. Accepted papers by this workshop will be published by the IEEE Computer Society. In addition, we plan to publish selected papers (with technically significant expansion and revision) as a special issue in some highly respected journal.
Important Dates
August 23, 2016: Paper submission open
October 09, 2016: Due date for full workshop papers submission
November 10, 2016: Notification of paper acceptance to authors
November 20, 2016: Camera-ready of accepted papers
December 15, 2016: Workshop
Program Chairs
Yongchao Liu (Georgia Institute of Technology, USA)
Bertil Schmidt (University of Mainz, Germany)
Program Committee Members
Sunita Chandrasekaran (University of Delaware, USA)
Scott Emrich (University of Notre Dame, USA)
Jorge Gonzalez-Dominguez (University of A Coruna, Spain)
Andreas Hildebrandt (University of Mainz, Germany)
Ananth Kalyanaraman (Washington State University, USA)
Ben Langmead (Johns Hopkins University, USA)
Dominique Lavenier (INRIA/IRISA, France)
Tao Li (Nankai University, China)
Weiguo Liu (Shandong University, China)
Ruibang Luo (UJohns Hopkins University, USA)
Jan Schroeder (Walter and Eliza Hall Institute of Medical Research, Australia)
Sharma Thankachan (Georgia Institute of Technology, USA)
Gang Wang (Nankai University, China)
Jaroslaw Zola (The State University of New York at Buffalo, USA)
Contact
Yongchao Liu (yliu@cc.gatech.edu)
Bertil Schmidt (bertil.schmidt@uni-mainz.de)
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sent to . If you'd like to opt out of these
announcements, information on how to unsubscribe is available at the
bottom of this email.]
2016 Workshop on Accelerator-Enabled Algorithms and Applications in Bioinformatics (WACEBI 2016)
in conjunction with IEEE BIBM 2016, Shenzhen, China, December 15-18, 2016
Call for Papers:
Advances in high-throughput technologies (such as cost-affordable sequencing of whole genomes, population-scale variation screening, or mass spectrometry-based proteomics) are continually propelling related bioinformatics research into the era of big data. This establishes a strong need of sophisticated parallel algorithms and architectures for fast and efficient processing of large-scale biological datasets. To address these challenges, diverse accelerators have been used to accelerate important and computationally demanding applications in Bioinformatics. Typical accelerators include but not limited to FPGAs, GPUs, Intel Xeon Phi coprocessors, Intel SSE and AVX vector processing units, Micron Automata Processors, and custom hardware chips. Meanwhile, various parallel algorithms inherently enabling to use accelerators have been or are being developed as well.
This workshop focuses on accelerator-enabled parallel algorithms and applications in Bioinformatics, and will award a Best GPU Paper Award to an outstanding paper based on GPU computing. This Best GPU Paper Award is generously sponsored by NVIDIA Corporation and the prize is one GeForce GTX Titan X graphics card (state-of-the-art GPU and worth of $1000). We will consider original submissions that (1) use accelerator technologies to address important biological problems, or (2) propose new parallel algorithms and software tools elaborated to have the potential and feasibility to exploit accelerators. Topics of interest include but are not limited to:
(1) Biological sequence database
(2) Biological sequence analysis
(3) Computational genomics and proteomics
(4) Infrastructure and systems tools for high-performance bioinformatics
(5) Metagenomics
(6) Next-generation sequencing
(7) Phylogeny inference
(8) Protein structure prediction and modeling
(9) Workflow and systems for big biological data management
The WACEBI 2016 workshop will be held in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine 2016 (IEEE BIBM 2016), Shenzhen, China, Dec. 15-18, 2016.
Online Submission
Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system (you can download the format instruction from here). Electronic submissions (in PDF or Postscript format) are required. Accepted papers by this workshop will be published by the IEEE Computer Society. In addition, we plan to publish selected papers (with technically significant expansion and revision) as a special issue in some highly respected journal.
Important Dates
August 23, 2016: Paper submission open
October 09, 2016: Due date for full workshop papers submission
November 10, 2016: Notification of paper acceptance to authors
November 20, 2016: Camera-ready of accepted papers
December 15, 2016: Workshop
Program Chairs
Yongchao Liu (Georgia Institute of Technology, USA)
Bertil Schmidt (University of Mainz, Germany)
Program Committee Members
Sunita Chandrasekaran (University of Delaware, USA)
Scott Emrich (University of Notre Dame, USA)
Jorge Gonzalez-Dominguez (University of A Coruna, Spain)
Andreas Hildebrandt (University of Mainz, Germany)
Ananth Kalyanaraman (Washington State University, USA)
Ben Langmead (Johns Hopkins University, USA)
Dominique Lavenier (INRIA/IRISA, France)
Tao Li (Nankai University, China)
Weiguo Liu (Shandong University, China)
Ruibang Luo (UJohns Hopkins University, USA)
Jan Schroeder (Walter and Eliza Hall Institute of Medical Research, Australia)
Sharma Thankachan (Georgia Institute of Technology, USA)
Gang Wang (Nankai University, China)
Jaroslaw Zola (The State University of New York at Buffalo, USA)
Contact
Yongchao Liu (yliu@cc.gatech.edu)
Bertil Schmidt (bertil.schmidt@uni-mainz.de)
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If you do not remember your password (which is needed to change these options), you can reset it using the "Unsubscribe or Edit Options" button at the bottom of the page.
(https://lists.mcs.anl.gov/
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