HiPC: High Performance Computing

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2020 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
HiPC 2019 26th IEEE International Conference on High Performance Computing, Data, and Analytics
Dec 17, 2019 - Dec 20, 2019 Hyderabad, India Jun 14, 2019 (Jun 7, 2019)
HiPC 2016 23rd IEEE International Conference on High Performance Computing, Data, and Analytics
Dec 19, 2016 - Dec 22, 2016 Hyderabad, India Jun 5, 2016 (Jun 1, 2016)
HiPC 2015 IEEE International Conference on High Performance Computing
Dec 16, 2015 - Dec 19, 2015 Bengaluru (Bangalore) Jun 15, 2015
HiPC 2014 21th IEEE International Conference on High Performance Computing
Dec 17, 2014 - Dec 20, 2014 Goa, India May 30, 2014
HiPC 2013 20th IEEE International Conference on High Performance Computing
Dec 18, 2013 - Dec 21, 2013 Bengaluru, INDIA Jun 8, 2013
HiPC 2012 19th IEEE International Conference on High Performance Computing
Dec 18, 2012 - Dec 21, 2012 Pune, INDIA May 31, 2012
HiPC 2011 International Conference on High Performance Computing
Dec 18, 2011 - Dec 21, 2011 Bengaluru, India May 23, 2011
HiPC 2010 International Conference on High Performance Computing
Dec 19, 2010 - Dec 22, 2010 Goa, India May 15, 2010
HiPC 2009 16th IEEE International Conference on High Performance Computing
Dec 16, 2009 - Dec 19, 2009 Kochi(Cochin), India May 15, 2009
HiPC 2008 International Conference on High Performance Computing
Dec 17, 2008 - Dec 20, 2008 Bangalore, India May 12, 2008
HiPC 2007 14th International Conference on High Performance Computing
Dec 18, 2007 - Dec 21, 2007 Goa, India TBD
 
 

Present CFP : 2019

HiPC 2019 will be the 26th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. 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Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, data and analytics.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
 

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