About HiPC


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

2018 marks HiPC’s Silver Anniversary as we broaden the technical program spanning from high performance computing to data science.

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.

In the last couple years, HiPC has added workshops to its technical program and along with a Student Research Symposium and academic Birds-of-a-Feather sessions, the conference makes room for a broad list of topics to be addressed by conference events including:


High Performance Computing

  • 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



    • 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



    • 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 system
    • 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


For more information please contact the conference organisers at [email protected]/hipc2018

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