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IISWC 2009 : 2009 Annual IEEE International Symposium on Workload Characterization


Conference Series : IEEE International Symposium on Workload Characterization
When Oct 4, 2009 - Oct 6, 2009
Where Austin, TX, USA
Abstract Registration Due Apr 17, 2009
Submission Deadline Apr 24, 2009
Notification Due Jun 27, 2009

Call For Papers

IISWC 2009
(2009 Annual IEEE International Symposium on Workload Characterization)

Sponsored by
the IEEE Computer Society
and the Technical Committee on Computer Architecture

Austin, TX
October 4-6, 2009

Important Dates
Abstracts Due : April 17, 2009
Paper Submission : April 24, 2009
Acceptance Notification : June 27, 2009

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 as the diversity and
performance of computers increase. On the one hand, computing workloads
evolve and change with advances in microarchitecture, compilers, programming
languages, and networking/communication technologies. On the other hand,
improvements in computing technology are usually based on a solid
understanding and analysis of existing workloads. Whether they are PDAs,
wireless and 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.

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 areas including
- Search engines, e-commerce, web services, databases, file/application servers
- Embedded, mobile, multimedia, real-time, 3D-Graphics, gaming, telepresence
- Life sciences, bioinformatics, scientific computing
- Security, reliability, biometrics
* Characterization of OS, Virtual Machine, middleware and library behavior
- Virtual machines, Websphere, .NET, Java VM, databases
- Graphics libraries, scientific libraries
* Characterization of system behavior, including
- Operating system and hypervisor effects and overheads
- Effects due to virtualization and dynamic optimization
- Hardware accelerators (GPGPU, XML, crypto, etc)
- Failures, availability, and reliability
- User behavior and system-user interaction
- Instrumentation methodologies for workload verification and characterization
- Techniques for accurate analysis/measurement of production systems
* Implications of workloads in design issues, such as
- Power management, reliability, security, performance
- Processors, memory hierarchy, I/O, and networks
* Benchmark creation, analysis, and evaluation issues, including
- Multithreaded benchmarks
- Profiling, trace collection, synthetic traces
- Validation of benchmarks
* Abstract modeling of program behavior
* Emerging and future workloads
- Transactional memory workloads; workloads for multi/many-core systems
- Stream-based computing workloads; web2.0/internet workloads

General Chair:
Derek Chiou, UT-Austin

Program Chair:
Tom Conte, Georgia Tech

Program Committee:
David August, Princeton
Leslie Barnes, AMD
Pradeep Dubey, Intel
Lieven Eeckhout, Ghent
Paolo Faraboschi, HP
Jim Held, Intel
Michael Hind, IBM Research
Hillery Hunter, IBM Research
David Kaeli, Northeastern
Hyesoon Kim, Georgia Tech
Hsien-Hsin Lee, Georgia Tech
Charles Levine, Microsoft
Markus Levy, EEMBC
Jos? Mart?nez, Cornell
Onur Mutlu, CMU
Nacho Navarro, UPC
JoAnn Paul, Virginia Tech
Sanjay Patel, Illinois
Yale Patt, UT-Austin
Eric Rotenberg, NC State
Ravi Soundararajan, VMware
Wayne Wolf, Georgia Tech

Workshop/Tutorials Chair:
Joshua Yi, Freescale

Finance Chair:
Dam Sunwoo, UT-Austin

Publicity Chair:
Onur Mutlu, CMU

Web Chair:
Byeong Lee, TI

Local Arrangements Chair:
Mattan Erez, UT-Austin

Steering Committee:
Pradip Bose, IBM Research
David Christie, AMD
Tom Conte, Georgia Tech
Lieven Eeckhout, Ghent University
Jay Jayasimha, Intel
Lizy John, UT-Austin
David Kaeli, Northeastern University
Alan Lee, AMD
David Lilja, University of Minnesota
Ann Marie Maynard, IBM
Onur Mutlu, CMU
Ravi Nair, IBM
John Shen, Nokia
Ben Zorn, Microsoft Research

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