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IISWC 2014 : 2014 IEEE International Symposium on Workload Characterization


Conference Series : IEEE International Symposium on Workload Characterization
When Oct 1, 2014 - Oct 5, 2014
Where Raleigh, North Carolina, USA
Abstract Registration Due Apr 18, 2014
Submission Deadline Apr 25, 2014
Notification Due Jun 17, 2014
Categories    characterization

Call For Papers

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.

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
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

Related Resources

IISWC 2017   IEEE International Symposium on Workload Characterization
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ICMLA 2017   16th IEEE International Conference On Machine Learning And Applications
IEEE SSCI 2017   2017 IEEE Symposium Series on Computational Intelligence
IEEE - ICCC 2017   3rd IEEE International Conference on Computer and Communications
h-workload 2017   H-WORKLOAD 2017 - The 1st International Symposium on Human Mental Workload: Models and Applications
Humanoids 2017   2017 IEEE-RAS 17th International Conference on Humanoid Robotics
ASPMMI 2017   IEEE Access: Special Issue on Advanced Signal Processing Methods in Medical Imaging
ICRAE - IEEE 2017   IEEE--2017 2nd International Conference on Robotics and Automation Engineering (ICRAE 2017) - IEEE Xplore and Ei Compendex
ISCMI - IEEE 2017   2017 4th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2017)--IEEE Xplore, Ei Compendex