HiPC 2018 Call For Papers

HiPC 2018 will be the 25th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the area high performance computing. The meeting focuses on all aspects of high performance computing systems and their scientific, engineering, and commercial applications. In 2016, to keep pace with new computing trends, the conference added two new areas of interest to its name, Data and Analytics, as reflected in the list below.

Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, data and analytics. Topics include (but are not limited to): 

 High Performance Computing 

Algorithms

• Design of Parallel and Distributed Algorithms

• Algorithmic Techniques to Improve Energy and Power Efficiency

• Quantum and Bio-Inspired Algorithms

• Resilient and Fault Tolerant Algorithms

• Parallel Algorithms for Numerical Linear Algebra

• Concurrent Algorithms and Data Structures

• Load Balancing, Scheduling and Resource Management

• Parallel Graph Algorithms

• Algorithms for Combinatorial Scientific Computing

• Parallel Algorithms for Computational Biology

• Streaming Algorithms

Architectures

• Interconnection Networks and Architectures

• Cache/Memory Architecture for High Performance Computing

• High Performance/Scalable Storage Systems

• Power-Efficient and Reconfigurable Architectures

• Quantum and Bio-Inspired Architectures

• Software Support and Advanced Micro-architecture Techniques

• Resilient and Fault Tolerant Architectures

Applications

• Big Data Computing and Applications

• Cross-Cutting Methods such as Co-Design of Parallel Algorithms, Software, and Architectures

• Emerging Applications such as Biotechnology, IoT, and Nanotechnology

• Hardware Acceleration for Parallel Applications

• Parallelism in Scientific Data Visualization and Visual Analytics

• Scientific/Engineering/Industrial Applications and Workloads

• Scalable Machine Learning and Data Mining Applications

• Scalable Graph and other Irregular Applications

• Design of Simulation Applications and Peta- and Exascale Applications

Systems Software

• Big Data Analytics Systems and Software Architectures

• Compiler Technologies for High-Performance Computing

• Exascale Computing, Cloud Platforms, Data Center Architectures and Services

• Parallel Languages, Programming Environments, and Performance Assessment

• Operating Systems for Scalable High -Performance Computing

• Hybrid Parallel Programming with GPUs and Accelerators

• Dealing with Uncertainties, Resilient/Fault-Tolerant Systems

Data Science

Big Data Algorithms and Analytics

• Transparent and interpretable predictive models

• Socially responsible learning

• Learning with changing environment, domain adaptation

• Learning with structured input and output

• Model evolution

• Large-scale Graph and network modeling and analytics

• Stream data analytics

• Model evolution

• Unsupervised learning

Big Data Systems and Software

• Data science applications in healthcare, education, social science, business, transportation, energy, telecommunications, science, and humanities

• Social mining analytics and applications

• Visual analytic systems and software using large-scale data

• Web search and recommendation systems

• Social impact systems using big data

• Privacy preserving big data software

• Massive, cross-media, streaming systems

• Human-in-the-loop systems

• Crowdsourcing and collective intelligence applications

• Large-scale data science for the social good

One or more best paper awards will be given for outstanding contributed papers.

Important Dates 

Manuscript Guidelines

Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details:

LaTex Package (ZIP)

Word Package (ZIP)

Electronic submissions must be in the form of a readable PDF file. Manuscripts must be received by June 15, 2018. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. 

Authors are highly encouraged to list the key contributions of their paper. This should be in a separate paragraph in the introduction to the paper. Please note that the review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period from August 8 to August 15, 2018 now August 10 to August 26, 2018. 

Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair at the email address below for further information or clarification. Notification of review decisions will be emailed by September 7, 2018. Camera-ready papers are due by October 3, 2018 October 15, 2018.  Published proceedings will be available at the conference.

At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper at the conference is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore.

Authors of selected high quality papers in HiPC 2018 will be invited to submit an extended version of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing.

PLEASE NOTE:

• Authors must register their paper and submit an abstract, typically a paragraph or two, by June 18, 2018 June 8, 2018

• Authors must then submit full versions of registered papers by June 25, 2018 June15, 2018

• All deadlines are end of day ANYWHERE ON EARTH.

• Paper submission portal –  https://easychair.org/conferences/?conf=hipc18 

Program Chairs

• Olivier Beaumont, Inria, France (High Performance Computing)

• Srinivas Aluru, Georgia Institute of Technology, USA (Data Science)

Program Vice Chairs

Algorithms:  Ananth Kalyanaraman Washington State University

Applications: Yogish Sabharwal, IBM Research – India

Architecture: Abdou Guermouche, University of Bordeaux

System Software: Judith Hill, Oak Ridge National Laboratory

Big Data Algorithms and Analytics: Jun (Luke) Huan, Baidu Inc.

Big Data Systems and Software: Lisa Singh, Georgetown University

HiPC 2018 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)