ICS 2017 : International Conference on Supercomputing

  in Conferences   Posted on November 5, 2016

Conference Information

Submission Deadline Wednesday 18 Jan 2017
Conference & Submission Link http://www.ics-conference.org/CFP17-prel.pdf
Conference Dates Jun 14, 2017 - Jun 16, 2017
Conference Address Chicago, United States
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers


ICS is the premier international forum for the presentation of research results in

high-performance computing. The 2017 conference will be held in Chicago, United States.

Papers are solicited on all aspects of research, development, and application of high-pe

rformance computing systems, including but not limited to the following:

•Computer architecture and hardware, including multicore, manycore 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 spects 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 level of large-scale academic/commercial computing service infrastructure, debugging, fault-tolerance, power/energy management, file systems, and performance


•New computational algorithms and their applications for high performance

computing systems.

•Workload characterization 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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