IEEE International Symposium on Workload Characterization, Seattle, Vereinigte Staaten

Abbrevation

IISWC

Link

http://www.iiswc.org/iiswc2008/index.htm

City

Seattle

Country

United States

Deadline Paper

2008-03-21

Start Date

2008-09-14

End Date

2008-09-19

Abstract

This symposium is dedicated to the understanding and characterization of workloads which run on all types of computer systems. New applications and programming paradigms continue to emerge as the use of computers becomes more widespread and more sophisticated. Improving process and communication technology, innovations in microarchitecture, compilers, and virtual machine technology are also changing the nature of problems that are being solved by computing systems. Whether they are PDAs, wireless and embedded systems at the low end or massively parallel systems at the high end, the design of tomorrow′s computing machines can be significantly improved through the knowledge and ability to simulate the workload expected to run on them. This symposium, sponsored by <A href=″http://www.computer.org/″>IEEE Computer Society</A> and the <A href=″http://tab.computer.org/tcca″>Technical Committee on Computer Architecture</A>, will focus on characterizing and understanding modern computer applications commercial and scientific computing.<O:P> </O:P> Keywords: <LI> Characterization of applications in areas including <UL> <LI> Search engines, e–commerce, web services, databases, file/application servers <LI> Embedded, mobile, multimedia, real–time, 3D–Graphics, gaming, telepresence <LI> Life sciences, bioinformatics, scientific computing <LI> Security, reliability, biometrics </LI></UL> <LI> Characterization of OS, Virtual Machine, middleware and library behavior <UL> <LI> Virtual machines, Websphere, .NET, Java VM, databases <LI> Graphics libraries, scientific libraries </LI></UL> <LI> Characterization of system behavior, including <UL> <LI> Operating system and hypervisor effects and overheads <LI> Effects due to virtualization and dynamic optimization <LI> Hardware accelerators (GPGPU, XML, crypto, etc) <LI> Failures, availability, and reliability <LI> User behavior and system–user interaction <LI> Instrumentation methodologies for workload verification and characterization <LI> Techniques for accurate analysis/measurement of production systems </LI></UL> <LI> Implications of workloads in design issues, such as<?XML:NAMESPACE PREFIX = O /><O:P> </O:P> <UL> <LI> Power management, reliability, security, performance <LI> Processors, memory hierarchy, I/O, and networks </LI></UL> <LI> Benchmark creation, analysis, and evaluation issues, including<O:P> </O:P> <UL> <LI> Multithreaded benchmarks <LI> Profiling, trace collection, synthetic traces <LI> Validation of benchmarks </LI></UL> <LI> Abstract modeling of program behavior <LI> Emerging and future workloads<O:P> </O:P> <UL> <LI> Transactional memory workloads; workloads for multi/many–core systems <LI> Stream–based computing workloads; web2.0/internet workloads</LI></UL></LI>