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IISWC 2016 : IEEE International Symposium on Workload Characterization

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Conference Series : IEEE International Symposium on Workload Characterization
 
Link: http://www.iiswc.org/iiswc2016/index.html
 
When Oct 1, 2016 - Oct 3, 2016
Where Rhode Island, USA
Abstract Registration Due May 6, 2016
Submission Deadline May 13, 2016
Notification Due Jul 22, 2016
 

Call For Papers

Important Dates

Abstracts Submission : May 6, 2016
Paper Submission : May 13, 2016
Acceptance Notification : TBA

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 domains such as
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 User behavior and system-user interaction

Characterization of OS, Virtual Machine, middleware and library behavior
o Virtual machines, Websphere, .NET, Java VM, databases
o Graphics libraries, scientific libraries
o Operating system and hypervisor effects and overheads

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 and evaluation, including
o Multithreaded benchmarks, benchmark cloning
o Profiling, trace collection, synthetic traces
o Validation of benchmarks

Measurement tools and techniques, including
o Instrumentation methodologies for workload verification and characterization
o Techniques for accurate analysis/measurement of production systems
o Analytical and abstract modeling of program behavior and systems

Emerging workloads and architectures, such as
o Transactional memory workloads; workloads for multi/many-core systems
o Stream-based computing workloads; web2.0/internet workloads; cyber-physical workloads
o Near data processing architectures

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