IISWC: IEEE International Symposium on Workload Characterization

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
IISWC 2020 Call for Paper: 2020 IEEE International Symposium on Workload Characterization (IISWC)
Oct 27, 2020 - Oct 29, 2020 Virtual Conference Jul 10, 2020
IISWC 2017 IEEE International Symposium on Workload Characterization
Oct 1, 2017 - Oct 3, 2017 Seattle, Washington, USA Jun 9, 2017 (Jun 2, 2017)
IISWC 2015 2015 IEEE International Symposium on Workload Characterization
Oct 4, 2015 - Oct 6, 2015 Atlanta, GA, USA Apr 27, 2015 (Apr 20, 2015)
IISWC 2014 2014 IEEE International Symposium on Workload Characterization
Oct 1, 2014 - Oct 5, 2014 Raleigh, North Carolina, USA Apr 25, 2014 (Apr 18, 2014)
IISWC 2013 IEEE International Symposium on Workload Characterization
Sep 22, 2013 - Sep 24, 2013 Portland, OR TBD
IISWC 2012 IEEE International Symposium on Workload Characterization
Nov 4, 2012 - Nov 6, 2012 La Jolla, USA Jun 1, 2012 (May 25, 2012)
IISWC 2011 IEEE International Symposium on Workload Characterization
Nov 6, 2011 - Nov 8, 2011 Austin, Texas, USA Jun 17, 2011 (Jun 10, 2011)
IISWC 2010 2010 IEEE International Symposium on Workload Characterization
Dec 2, 2010 - Dec 4, 2010 Atlanta, GA, 2010 Jun 25, 2010 (Jun 18, 2010)
IISWC 2009 2009 Annual IEEE International Symposium on Workload Characterization
Oct 4, 2009 - Oct 6, 2009 Austin, TX, USA Apr 24, 2009 (Apr 17, 2009)
IISWC 2008 IEEE International Symposium on Workload Characterization
Sep 14, 2008 - Sep 16, 2008 Seattle, WA, USA Mar 14, 2008 (Mar 7, 2008)
 
 

Present CFP : 2020

IISWC invites manuscripts that present original unpublished research in all areas related to characterization and analysis of computing system workloads, including translational research related to production-oriented commercial systems. Work focusing on emerging technologies and interdisciplinary work are especially welcome. Topics of interest include (but are not limited to): Characterization of applications in traditional and emerging domains, characterization of system software and middleware, implications of workloads in system design, benchmarking methodologies and suites, and tools for computer systems. A detailed list of the topics can be found at the end of this CFP.
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Deadlines:
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Submission Deadline: July 10, 2020
Decision Notification: Aug 24, 2020
Camera-ready deadline: Sep 15, 2020
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New in 2020:
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This year, submissions to IISWC can be made in one of the following two categories: (1) regular papers (2) tool and benchmark papers. The primary focus of "regular papers" should be to describe new research ideas supported by experimental implementation and evaluation of the proposed research ideas. The primary focus of "tool and benchmarks papers" should be to describe the design, development, and evaluation of new open-source tools / benchmarks suites.
Authors are required to indicate the category of the paper as a part of the submitted manuscript's title. The last line of the title should indicate the paper type by using one of the two phrases (1) Paper Type: Regular, or (2) Paper Type: Tool/Benchmark.
The paper categories primarily differ in terms of their focus (new research idea vs. new open-source benchmark-suite / tool) and length (regular papers can be up to 10 pages long excluding references; tool and benchmark papers can be up to 6 pages long excluding references). But, the submissions in both the categories will be evaluated to the same standards in terms of novelty, scientific value, demonstrated usefulness, and potential impact on the field. Submissions in the "regular papers" category are also welcome to open-source their software or hardware artifacts. But, the chosen category at the time of the submission can not be changed after the submission deadline.
Double-blind submission guidelines apply to the submissions in both the categories.
Open-source benchmarks and tools that have not been previously published (but may have been open-sourced) are eligible for submission in the "tool and benchmark papers" category. Even in cases where the benchmarks suite / tool is already being used in the community, the authors should demonstrate good faith effort to adhere to the double-blind submission guidelines. All submitted papers should have obtained the legal permission (if applicable) to open-source the benchmark-suite / tool at the time of submission.
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Topics of Interest
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*Characterization of applications in domains including
Life sciences, bioinformatics, scientific computing, finance, forecasting
Machine learning, data analytics, data mining
Cyber-physical systems, pervasive computation and Internet of Things (IoT)
Security and privacy-preserving computing
Quantum computing
High performance computing
Cloud and edge computing
Mobile computing
User behavior and system-user interaction
Search engines, e-commerce, web services, and databases
Embedded, multimedia, real-time, 3D-graphics, gaming
Blockchain services
*Emerging workloads and architectures, such as
Quantum computations and communication
Serverless computing
Near-threshold computing
Non-volatile memory
Near data processing architectures
Neuromorphic and brain-inspired computing
Artificial intelligence and transactional memory workloads
*Characterization of OS, Virtual Machine, middleware and library behavior, including
Virtual machines, .NET, Java VM, databases
Graphics libraries, scientific libraries
Operating system and hypervisor effects and overheads
*Implications of workloads in system design, such as
Power management, reliability, security, privacy, performance
Processors, memory hierarchy, I/O, and networks
Design of accelerators, FPGAs, GPUs, CGRAs, etc.
Large-scale computing infrastructures and facilities
*Benchmark methodologies and suites, including
Representative benchmarks for emerging workloads,
Benchmark cloning methods,
Profiling, trace collection, synthetic traces
Validation of benchmarks
*Measurement tools and techniques, including
Instrumentation methodologies for workload verification and characterization
Techniques for accurate analysis/measurement of production systems
Analytical and abstract modeling of program behavior and systems
 

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