IISWC: IEEE International Symposium on Workload Characterization

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2022 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
IISWC 2021 2021 IEEE International Symposium on Workload Characterization
Nov 7, 2021 - Nov 9, 2021 Virtual Conference Jul 9, 2021
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 : 2021

This symposium is dedicated to the understanding and characterization of workloads that run on all types of computing systems. New applications and programming paradigms continue to emerge rapidly as the diversity and performance of computers increase. On one hand, improvements in computing technology are usually based on a solid understanding and analysis of existing workloads. On the other hand, computing workloads evolve and change with advances in microarchitecture, compilers, programming languages, and networking communication technologies. Whether they are smart phones and deeply embedded systems at the low end or massively parallel systems at the high end, the design of future computing machines can be significantly improved if we understand the characteristics of the workloads that are expected to run on them. This symposium, sponsored by IEEE Computer Society and the Technical Committee on Computer Architecture, will focus on characterizing and understanding emerging applications in consumer, commercial and scientific computing.
 

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