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) |
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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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