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IISWC 2016 : 2016 IEEE International Symposium on Workload Characterization

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Link: http://www.iiswc.org
 
When Sep 25, 2016 - Sep 25, 2016
Where Providence, RI, US
Abstract Registration Due May 13, 2016
Submission Deadline May 20, 2016
Notification Due Jul 22, 2016
 

Call For Papers

[Apologies if you receive multiple copies of this announcement]

******* CALL FOR PAPERS: IISWC 2016 *******

2016 IEEE International Symposium on Workload Characterization
Providence, RI, September 25-27, 2016
http://www.iiswc.org

*** Important Dates
- Abstracts Submission: May 13, 2016
- Paper Submission: May 20, 2016
- Acceptance Notification: July 22, 2016

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 will focus on
characterizing and understanding emerging applications in consumer,
commercial and scientific computing.

*** Topics of Interest
We solicit papers in all areas related to characterization of
computing system workloads. Topics of interest include (but are not
limited to):

• Characterization of applications in domains such as
o Search engines, e-commerce, web services, databases, file/application
servers
o Embedded, mobile, multimedia, real-time, 3D-Graphics, gaming,
telepresence
o Life sciences, bioinformatics, scientific computing, finance, forecasting
o Machine Learning, Analytics, Data mining
o Security, reliability, biometrics
o Grid and Cloud computing
o User behavior and system-user interaction

• Characterization of OS, Virtual Machine, middleware and library behavior
o Virtual machines, Websphere, .NET, Java VM, databases
o Graphics libraries, scientific libraries
o Operating system and hypervisor effects and overheads

• Implications of workloads in design issues, such as
o Power management, reliability, security, performance
o Processors, memory hierarchy, I/O, and networks
o Design of accelerators, FPGA’s, GPU’s, etc.
o Novel architectures (non-Von-Neumann)

• Benchmark creation and evaluation, including
o Multithreaded benchmarks, benchmark cloning
o Profiling, trace collection, synthetic traces
o Validation of benchmarks

• Measurement tools and techniques, including
o Instrumentation methodologies for workload verification and
characterization
o Techniques for accurate analysis/measurement of production systems
o Analytical and abstract modeling of program behavior and systems

• Emerging workloads and architectures, such as
o Transactional memory workloads; workloads for multi/many-core systems
o Stream-based computing workloads; web2.0/internet workloads;
cyber-physical workloads
o Near data processing architectures


ORGANIZING COMMITTEE

General Chair
Resit Sendag, University of Rhode Island

Program Co-Chairs
Martha Kim, Columbia University
Mark Hempstead, Tufts University

Workshop/Tutorial Chair
Omer Khan, University of Connecticut

Publications Chair
Gus Uht, University of Rhode Island

Local Arrangements Chair
Sherief Reda, Brown University

Publicity Chairs
Alper Buyuktosunoglu, IBM
Ramon Bertran, IBM

Submission Chair
Tom Repetti, Columbia University

Web Chair
Mustafa Cavus, University of Rhode Island

Program Committee
Murali Annavaram, University of Southern California
Brad Beckmann, AMD
Abhishek Bhattacharjee, Rutgers University
Christina Delimitrou, Cornell University
Natalie Enright Jerger, University of Toronto
Hadi Esmaeilzadeh, Georgia Tech
Mike Ferdman, Stony Brook University
Saturnino Garcia, University of San Diego
Paul Gratz, Texas A&M
Xiaochen Guo, Lehigh University
Andrew Hilton, Duke University
Jaehyuk Huh, KAIST
David Kaeli, Northeastern University
Omer Khan, University of Connecticut
Samira Khan, University of Virginia
Brandon Lucia, Carnegie Mellon University
Daniel Lustig, NVIDIA
Sherief Reda, Brown University
Vijay Janapa Reddi, The University of Texas at Austin
Francesco Regazzoni, ALaRI - USI
Jack Sampson, Penn State
Hiroshi Sasaki, Columbia University
Ravi Soundararajan, VMware
Carole-Jean Wu, Arizona State

Steering Committee
David Brooks (chair), Harvard University
Lieven Eeckhout, Ghent University
Ravishankar Iyer, Intel
Lizy John, University of Texas, Austin
David Kaeli, Northeastern University
Derek Chiou, University of Texas, Austin and Microsoft
David Christie, AMD
David Lilja, University of Minnesota
Onur Mutlu, Carnegie Mellon University
John Paul Shen, Nokia
Hsien-Hsin Lee, Georgia Tech
Yan Solihin, North Carolina State University
Tom Conte, Georgia Tech
John B Carter, IBM
Elmootazbellah Elnozahy, IBM
Tom Wenisch, University of Michigan

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