活动简介

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
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.

征稿信息

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:
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
留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 会议日期

    12月18日

    2017

    12月21日

    2017

  • 12月21日 2017

    注册截止日期

主办单位
美国计算机学会
IEEE 计算机学会
联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询