ICS 2018 : ACM International Conference on Supercomputing

  in Conferences   Posted on August 19, 2017

Conference Information

Submission Deadline Thursday 11 Jan 2018
Conference & Submission Link http://ics2018.ict.ac.cn/
Conference Dates Jun 13, 2018 - Jun 15, 2018
Conference Address Beijing, China
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Google Scholar H5-index: 26
CORE 2017 Rating: A
Guide2Research Overall Ranking: 159
Category Rankings
Hardware, Robotics & Electronics 25
Software Engineering & Programming 39
Computational Theory and Mathematics 17

Conference Call for Papers

ICS is the premier international forum for the presentation of research results in high-performance computing. The 2018 conference will be held in Beijing, China.

Papers are solicited on all aspects of research, development, and application of high-performance computing systems, including but not limited to the following:

Computer architecture and hardware, including multicore, many-core and multiprocessor systems from small to very large scales, components in such systems such as accelerators, memory systems, storage architectures, interconnection networks at various levels, and heterogeneous systems;
Programming and execution models for high-performance computing, including new paradigms, languages, task creation and specification models, domain-specific language/programming support;
Static and dynamic compilation: optimization techniques to exploit all aspects of high performance architectures and auto-tuning techniques;
Runtime and system software support for high-performance computing, including task and resource management at chip-level, cluster-level, up to the scale of large-scale academic/commercial computing service infrastructure, debugging, fault-tolerance, power/energy management, file systems, and performance evaluation/monitoring;
New computational algorithms and their applications for high performance computing systems;
Workload characterization and empirical studies especially those on new scientific and commercial applications that pose significant challenges, and studies of highly experimental real systems;
Data intensive high performance computing: system support, algorithm design and application development for high performance computing that deal with large-scale collected data sets.

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