[hpc-announce] Submission extension: IEEE HiPC abstracts due June 23, full paper due June 30

[Panangadan, Anand]

24th IEEE International Conference on 
High Performance Computing, Data, and Analytics
HiPC 2017
December 18-21, 2017
Jaipur, India
http://hipc.org/

Paper Abstract Submission: Friday, June 23, 2017
Paper Submission Deadline (firm): Friday, June 30, 2017
Author Notifications for Rebuttal: Thursday, August 8, 2017
Author Rebuttal Response Due: Tuesday, August 15, 2017
Acceptance/Rejection Notification: Friday, September 8, 2017
Camera Ready paper Submission Due: Tuesday, October 3, 2017

HiPC 2017 CALL FOR PAPERS

HiPC 2017 will be the 24th 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Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, data and analytics.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): 

Algorithms: 
    Design and Application of Parallel and Distributed Big Data and Analytics 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
    Large Scale Graph Analytics
    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

One or more best paper awards will be given for outstanding contributed papers. 
Authors of selected high quality papers in HiPC 2017 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 (Elsevier).

Program Chair
Ümit V. Çatalyürek, Georgia Institute of Technology, USA

Program Vice-Chairs
Algorithms: Olivier Beaumont, INRIA, France
Applications: Ananth Kalyanaraman, Washington State University, USA
Architecture: Yuan Xie, University of California at Santa Barbara, USA
System Software: Gagan Agrawal, The Ohio State University, USA