[Csc] CfP for HPGDMP16: High Performance Graph Data Management and Processing Workshop

Henning Meyerhenke henning.meyerhenke at kit.edu
Mon Jul 11 03:06:58 EDT 2016


HPGDMP16: High Performance Graph Data Management and Processing Workshop

Held in conjunction with SC16: The International Conference on High
Performance Computing, Networking, Storage and Analysis, Salt Lake City,
Utah, USA
Held in cooperation with ACM SIGHPC

Workshop website: http://hpgdmp.bsc.es/

(Apologies for cross-posting)



Call for Papers
---------------------

Applications that need to manage and process large scale graph data have
become prominent in recent times. Social network analysis, semantic web,
bioinformatics, and cheminformatics are some examples of application
domains that deal with large graphs containing billions of vertices and
edges. Graph processing has attracted significant attention from the
high performance computing community due to the complexities involved
with the processing and storage of large graphs. Data management systems
such as in-memory, distributed graph databases have been introduced for
storing and managing large graphs. Graph processing frameworks and
libraries have been developed to simplify high performance large scale
graph processing. Furthermore, large scale distributed-memory compute
clusters, single shared-memory high performance computers, and
heterogeneous hardware containing GPUs and FPGAs have been used for
carrying out large scale graph data processing tasks. These efforts have
been bolstered by graph related benchmarking initiatives such as the
Graph 500 and Green Graph 500 benchmarks. Despite these significant
research efforts, there still exist significant issues and technical
gaps which need to be solved in the area of high performance graph data
management and processing.

The High Performance Graph Data Management and Processing 2016
(HPGDMP16) workshop aims to provide a unified platform for discussing
the latest state-of-the-art efforts conducted to address research issues
related to high performance large graph management and processing.
HPGDMP’16 will be held in conjunction with the International Conference
for High Performance Computing, Networking, Storage and Analysis 2016
(SC16). HPGDMP16 will be held in cooperation with ACM SIGHPC. The
workshop will take place in the Salt Lake City Convention Center, Salt
Lake City, Utah. We invite researchers who work in graph data management
and processing in high performance computing environments to submit
their original (full/short) papers. Submissions will be peer-reviewed in
single-blinded manner. The main topics of the workshop include, but are
not limited to:

* Novel large graph data management systems
* Novel large graph processing frameworks and programming paradigms
* Graph processing in manycore processors such as GPUs, Xeon Phi, etc.
* Graph data management and processing in the cloud
* HPC graph databases and query languages
* Novel graph partitioning algorithms
* Application experiences of large graph processing on HPC environments
* Benchmarks for large graph processing workloads
* Performance characterization of large graph mining tasks
* Scalable graph analysis algorithms and novel data structures
* High performance streaming graph processing algorithms

Submissions
---------------------

A submitted paper should be of one of two types:

1. Regular Research Paper: The paper will report original research
results with sound evaluation. It should be at most 8 pages.

2. Short Paper: The paper will present an on-going work or a survey. It
will clearly state the problem to be addressed, an outline of the
methodology that the authors plan to follow, and preliminary evaluation
results. It should be at most 4 pages.

Only electronic submissions in PDF format will be considered. Submitted
manuscripts may not exceed the specified page limits including tables,
figures, and references. All submissions must be prepared in the ACM
Proceedings Style
(http://www.acm.org/sigs/publications/proceedings-templates). The papers
must be formatted as single-blinded. Submissions must be uploaded to the
EasyChair submission site available at the following URL.

https://easychair.org/conferences/?conf=hpgdmp2016

The proceedings of the HPGDMP16 will be published in cooperation with
ACM SIGHPC and will be available in both the ACM Digital Library and the
IEEE Xplore Digital Library.

Important Dates
-----------------

Paper submission deadline: August 8th 2016, AoE
Decision notification: September 28th 2016, AoE
Camera-ready deadline: October 10th 2016, AoE
Workshop date: November 13th 2016

Workshop Organizers:
-----------------
General Co-Chairs:
Toyotaro Suzumura (IBM T.J. Watson Research Center, USA)
Dario Garcia-Gasulla (Barcelona Supercomputing Center, Spain)

Program Committee Co-Chairs:
Miyuru Dayarathna (WSO2, Inc., USA)
Julian Shun (UC Berkeley, USA)

Program Committee:
------------------
Deepak Ajwani (Bell Labs, Ireland)
Vassil Alexandrov (ICREA-BSC, Spain)
Ariful Azad (LBNL, USA)
Scott Beamer (UC Berkeley, USA)
Javier Béjar (Universitat Politècnica de Catalunya, Spain)
Lijun Chang (University of New South Wales, Australia)
Sameh Elnikety (Microsoft Research, USA)
George Fletcher (TU Eindhoven, Netherlands)
Oded Green (Georgia Institute of Technology, USA)
Stephan Günnemann (Technical University of Munich, Germany)
Mahantesh Halappanavar (PNNL, USA)
Bingsheng He (Nanyang Technological University, Singapore)
Sungpack Hong (Oracle, USA)
Andrew Lenharth (University of Texas at Austin, USA)
Kamesh Madduri (Penn State University, USA)
Aleksander Mądry (Massachusetts Institute of Technology, USA)
Michael Mahoney (UC Berkeley/International Computer Science Institute, USA)
Henning Meyerhenke (Karlsruhe Institute of Technology, Germany)
Makoto Onizuka (Osaka University, Japan)
John Owens (UC Davis, USA)
René Peinl (Hof University, Germany)
Aditya Prakash (Virginia Tech, USA)
Jason Riedy (Georgia Institute of Technology, USA)
Matei Ripeanu (The University of British Columbia, Canada)
Amitabha Roy (Intel Labs, USA)
Sherif Sakr (University of New South Wales, Australia)
Semih Salihoglu (University of Waterloo, Canada)
Christian Schulz (Karlsruhe Institute of Technology, Germany)
Bin Shao (Microsoft Research, China)
Srikanta Tirthapura (Iowa State University, USA)
Charalampos E. Tsourakakis (Harvard University, USA)
Peter Wood (University of London, UK)
Yinghui Wu (Washington State University, USA)
Yinglong Xia (Huawei Research, USA)
Andy Yoo (LLNL, USA)
Peixiang Zhao (Florida State University, USA)

Contact Information
-----------------------
In case of questions, please contact the Program Committee Co-Chairs via
hpgdmp at bsc.es.


More information about the Csc mailing list