IISWC 2009
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| IISWC 2009 | |
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2009 Annual IEEE International Symposium on Workload Characterization
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| Dates | 2009-10-04 (iCal) - 2009-10-06 |
| Homepage: | www.iiswc.org/iiswc2009/index.htm |
| Location | |
| Location: | US/TX/Austin, US/TX, US |
| Important dates | |
| Submissions: | Apr 24, 2009 |
| Table of Contents | |
IISWC 2009 (2009 Annual IEEE International Symposium on Workload Characterization) http://www.iiswc.org/ 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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