IISWC 2013 - IEEE International Symposium on Workload Characterization

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. This symposium,sponsored by IEEE Computer Society and the TechnicalCommittee on Computer Architecture, will focus on characterizing andunderstanding modern computer applications commercial and scientific computing.
Abstract Due : March 29, 2013
Paper Submission : April 05, 2013
Acceptance Notification : June 14, 2013
For further information, please contact the General or Program Chair:
General Chair
Ravi Iyer, Intel ( ravishankar.iyer -AT- intel.com )
Program Chair
David Brooks, Harvard University ( dbrooks -AT- eecs.harvard.edu)
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 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
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 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