Conference Information
ICS 2020: International Conference on Supercomputing
https://ics2020.bsc.es/
Submission Date:
2020-01-24
Notification Date:
2020-04-03
Conference Date:
2020-06-29
Location:
Barcelona, Spain
Years:
34
CCF: b   CORE: a   QUALIS: a2   Viewed: 19589   Tracked: 74   Attend: 9

Conference Location
Call For Papers
The ACM International Conference on Supercomputing (ICS) is the premier international forum for the presentation of research results in high-performance computing systems. The 34th conference (ICS-2020) will be held in Barcelona, Spain. Papers are solicited on all aspects of research, development, and application of high-performance and supercomputing systems, including, but not limited to:

    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 open architectures for them;
    Programming and execution models for high-performance computing, from node to cluster, including new paradigms, and  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 the chip, node and cluster-level, up to large-scale computing service infrastructures; debugging, fault-tolerance, power/energy and data management;
    New computational algorithms and their applications for high-performance computing 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.
    Algorithms and systems that combine model and learning-based approaches, including those that apply learning to drive the computational kernels and those that leverage learning to integrate large measured datasets with model-based methods.
    Performance evaluation and monitoring, and workload characterization; empirical studies especially those on new scientific and commercial applications that pose significant challenges, and studies of highly experimental real systems.

The review process will include a rebuttal period, and the papers will be judged based on novelty, technical soundness, and potential impact on the field.
Last updated by Dou Sun in 2019-12-22
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20111613521.7%
20101803217.8%
20091914724.6%
20081403726.4%
20071232923.6%
20061413726.2%
20051524227.6%
20041623521.6%
20031713621.1%
20021443121.5%
20011334533.8%
20001223327%
19991805731.7%
19971354533.3%
19961165043.1%
19951204940.8%
19941144539.5%
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Related Journals
CCFFull NameImpact FactorPublisherISSN
cPattern Analysis and Applications0.739Springer1433-7541
bIEEE Transactions on Services Computing5.707IEEE1939-1374
Central European Journal of Computer Science Springer1896-1533
International Journal of ComputingResearch Institute of Intelligent Computer Systems1727-6209
bComputer Supported Cooperative Work1.305Springer0925-9724
International Journal on Web Service Computing AIRCC2230-7702
Journal of Scientific Computing1.710Springer0885-7474
cNatural Language Engineering0.432Cambridge University Press1351-3249
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Full NameImpact FactorPublisher
Pattern Analysis and Applications0.739Springer
IEEE Transactions on Services Computing5.707IEEE
Central European Journal of Computer Science Springer
International Journal of ComputingResearch Institute of Intelligent Computer Systems
Computer Supported Cooperative Work1.305Springer
International Journal on Web Service Computing AIRCC
Journal of Scientific Computing1.710Springer
Natural Language Engineering0.432Cambridge University Press
Memetic Computing2.674Springer
International Journal on Soft Computing AIRCC
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