IEEE HiPC 2016 (Hyderabad, 19-22 December): Workshops & Student Research Symposium‏‏

 
IEEE HiPC 2016 (Hyderabad • 19-22 December) 

Release: 15 July 2016
- CALL FOR PAPERS: Workshops & Student Research Forum
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23rd IEEE International Conference on
High Performance Computing, Data, and Analytics
HiPC 2016
December 19-22, 2016
HICC
Hyderabad, India
www.hipc.org

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****HiPC 2016 Workshops: CALL FOR PAPERS DEADLINES****
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•August 1st...............Foundations of Big Data Computing (BigDF)
•August 31st.............Computational Fluid Dynamics (CFD)
•August 24th.............High Performance Computing and Big Data in Molecular Engineering (HBME)
•August 15th.............Software Composable Infrastructure (SCI)
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For details, see http://www.hipc.org/hipc2016/workshops.php
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Four workshops will be held on the first day of the conference, December 19th. Below 
is a brief description of each workshop and the due date for submissions. The papers 
accepted for presentation will be included in the workshops volume of the proceedings 
of the conference. Each workshop is linked to its Call for Papers page, which contains 
a full description of the workshop, the names of organizers and the technical committee 
members, and the dates and instructions for submitting papers for review.

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1) Foundations of Big Data Computing (BigDF)
July 24th - Submit Abstract
August 1st - Submit Paper
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The BigDF workshop aims to answer several questions, including: What constitutes a 
“Big Data” problem? What application domains are best suited to benefit from Big Data 
analytics and computing? What are the traits and characteristics of an application 
that make it suited to exploit Big Data analytics? How can Big Data systems and 
frameworks be designed to allow the integration and analysis of complex data sets? 
How can research in Big Data Analytics benefit from the latest advances in 
supercomputing and High Performance Computing (HPC) architectures? 
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2) Computational Fluid Dynamics (CFD)
August 31st - Submit Paper
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The CFD workshop is intended for the CFD user community to provide a common platform 
to share their experiences, best practices, and challenges in high performance 
computing. Computational Fluid Dynamics (CFD) is an dynamic and highly demanding 
research area in which computers use numerical methods to solve problems involving 
fluid flows. Since several equations with millions of unknowns need to be solved 
iteratively, CFD analysis requires enormous computational power and efficient parallel 
implementations of the numerical algorithms. Recent developments have reduced 
computational time in CFD analysis. Nevertheless, the scalability of CFD codes remains 
challenging in many large scale applications, and the computations take days to simulate 
a few seconds of real time physics, sometimes making CFD an impractical tool for 
industrial applications. 
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3) High Performance Computing and Big Data in Molecular Engineering (HBME)
August 24th - Submit Abstract
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The HBNE workshop will address challenges to high performance computing prompted by the 
emergence of molecular engineering as a discipline which employs and develops approaches 
within HPC as well as mathematical modelling, simulation, and optimization. Reaching 
quantitative agreement with the available experimental data, and predicting thermophysical 
properties where experimental data are absent, molecular engineering constitutes a 
promising approach for optimizing engineering processes. Current and upcoming supercomputers 
consist of hundred-thousands to millions of cores. For simulations that are carried out over 
a substantial amount of time on huge core counts, specific challenges emerge, and this workshop 
will provide a platform for presenting work aimed at overcoming those challenges.
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4) Software Composable Infrastructure (SCI)
August 15th - Submit Paper
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The SCI workshop on the topic of composable software-defined infrastructure (SCI) is 
interested in work related to emerging requirements for datacenter operations to support 
an increasing variety of applications. each with their own infrastructure requirements. 
Some applications require support for predictable low latency processing, others run in 
the background crunching huge datasets. Some are compute intensive and some require huge 
amounts of memory. Still other applications may require their data and processing to be 
co-located. Thus, the challenge is how to use the same resources to efficiently support 
a diverse set of applications.

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****HiPC 2016 Student Research Symposium (SRS): Call for Papers****
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•August 15th ............SRS Submission Opens
•September 16th .....SRS Submission Deadline
•November 1st .........SRS Accept/Reject Decision Notification
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The 9th Student Research Symposium on High Performance Computing, Data, and Analytics 
(SRS) is aimed at stimulating and fostering student research, and providing an international 
forum to highlight student research accomplishments in HPC. The symposium will also give 
students exposure to the best practices of senior HPC researchers in academia and industry. 
In a departure from previous years, the symposium will feature only student posters - there
 will be no talks by students - and the posters will be on display on the second and third 
days of the conference, allowing students to attend workshops on the first day. Awards for 
Best Poster will be presented at the conference, and an online book containing the resumes 
of the students participating in the symposium will be compiled and made available to the 
sponsors of the HiPC 2016 conference.

Papers are solicited in all areas of high-performance computing, data, and analytics. See 
the SRS Call for Papers page at http://www.hipc.org/hipc2016/studentsymposium.php for a 
full list of topics, which matches the list of topics for the main conference. Also see 
that page for what/where to submit and other details. 

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****HiPC 2016 KEYNOTE SPEAKERS ANNOUNCED****
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Topic: Genomes Galore: Big Data Challenges in the Life Sciences
SRINIVAS ALURU (Georgia Institute of Technology, USA)

Topic: China’s HPC development in the next 5 years
DEPEI QIAN (Sun Yat-sen University and Beihang University , China)

Topic: Toward Extreme-Scale Processor Chips
JOSEP TORRELLAS (University of Illinois Urbana-Champaign, USA)

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****HiPC 2016: Keeping pace with new computing trends!****
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In 2016, HiPC will continue to serve as a forum for researchers from around the world to 
present their current research efforts and findings and will act as a venue for stimulating 
discussions and highlighting work in Asia based on the expanded topic areas of high 
performance computing, data and analytics. The conference has a history of attracting 
participation from reputed researchers from all over the world and receives strong industry 
support from companies operating globally and also established in India. In addition to the 
two days of industry exhibits, the sponsoring partners to the conference hold industry 
symposiums to bring together providers and users of HPC in a forum for presenting state-of-the-art 
in HPC platforms and technologies, for discussing best practices, and for exchanging experiences.

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HiPC 2016 ORGANIZATION
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General Co-Chairs 
Kalyana Chandalavada, Intel, USA
Ananth S.Narayan, Intel, India 

Steering Committee Chair 
Viktor K. Prasanna, University of Southern California, USA

Vice General Chairs
Chiranjib Sur, Shell, India
Yinglong Xia, Huawei Research America, USA

Program Chair
Anne Benoit, ENS Lyon, France

Industry Liaison Co-Chairs
Rama Govindaraju, Google, USA
Jigar Halani, Wipro, India

Workshops Co-Chairs
Manish Parashar, Rutgers University, USA
Chiranjib Sur, Shell, India

Student Research Symposium Co-Chairs
Kishore Kothapalli, IIIT-Hyderabad, India
Ashok Srinivasan, Florida State University, USA

Industry, Research, and User Symposium Co-Chairs
R. Badrinath, Ericcson, India
Seetha Rama Krishna Nookala, Intel, India

Publicity Chair
Anand Panangadan, California State University, Fullerton, USA

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HiPC 2016 SPONSORSHIP
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See details for Industry Sponsorship at http://www.hipc.org/hipc2016/industry.php
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HiPC 2016 is co-sponsored by
•IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
•HiPC Education Trust, India

In cooperation with
•ACM Special Interest Group on Algorithms and Computation Theory (SIGACT)
•ACM Special Interest Group on Computer Architecture (SIGARCH)
•FIP Working Group on Concurrent Systems
•Manufacturers' Association for Information Technology (MAIT)
•National Association of Software and Service Companies (NASSCOM)