24th IEEE International Conference on High Performance Computing, Data, and Analytics HiPC 2017 December 18-21, 2017 Jaipur, India http://www.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 Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, data and analytics.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