IISWC 2014

Submitted by Jian Li
http://www.iiswc.org/iiswc2014/index.html
CALL FOR PARTICIPATIONS – IISWC 2014
IEEE International Symposium on Workload Characterization
October 26 (Sun) – 28 (Tue), 2014
Raleigh, North Carolina, USA

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.

General Chair
Huiyang Zhou, North Carolina State University

Program Chair
Lixin Zhang, Institute of Computing Technology, Chinese Academy of Science
Lingjia Tang, University of Michigan

Workshop/Tutorial Chair
Lisa Hsu, Qualcomm

Finance Chair
Carole-Jean Wu, Arizona State University

Local Arrangements Chair
James Tuck, North Carolina State University

Publications Chair
Mark Hempstead, Drexel University

Publicity Chair
Jian Li, Huawei Technologies

Registration Chair
Xin Fu, University of Kansas

Submissions Chair
TBA

Web Chair
Yi Yang, NEC Laboratories America

Topics of the symposium include (but are not limited to):
Characterization of applications in areas including
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 Emerging big data applications
Characterization of OS, Virtual Machine, middleware and library behavior
o Virtual machines, Websphere, .NET, Java VM, databases
o Graphics libraries, scientific libraries
Characterization of system behavior, including
o Operating system and hypervisor effects and overheads
o Hardware accelerators (GPGPU, XML, crypto, etc)
o User behavior and system-user interaction
o Impacts of scale-up and scale-out of systems, applications, and inputs
o Instrumentation methodologies for workload verification and characterization
o Techniques for accurate analysis/measurement of production systems
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, analysis, and evaluation issues, including
o Multithreaded benchmarks, benchmark cloning
o Profiling, trace collection, synthetic traces
o Validation of benchmarks
Analytical and abstract modeling of program behavior and systems
Emerging and future workloads
o Transactional memory workloads; workloads for multi/many-core systems
o Stream-based computing workloads; web2.0/internet workloads;
cyber-physical workloads

For further information, please contact the General or Program Chair:
General Chair
Huiyang Zhou, North Carolina State University ( hzhou@ncsu.edu )
Program Chair
Lixin Zhang, Institute of Computing Technology, Chinese Academy of
Science (zhanglixin@ict.ac.cn)
Lingjia Tang, University of Michigan (lingjia@umich.edu)