IEEE International Symposium on Workload Characterization
When : 2017-10-01
Where : Seattle,Washington,USA
Submission Deadline : 2017-06-02
Categories : Machine Learning , Data Mining
IEEE International Symposium on Workload Characterization(IISWC 2017)
October 01-03, 2017
Seattle, Washington, USA
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, sponsored by IEEE Computer Society and the Technical Committee on Computer Architecture, will focus on characterizing and understanding emerging applications in consumer, commercial and scientific computing.
Topics:
- Design of accelerators, FPGA’s, GPU’s, etc.
- Embedded, mobile, multimedia, real-time, 3D-Graphics, gaming, telepresence
- Graphics libraries, scientific libraries
- Grid and Cloud computing
- Life sciences, bioinformatics, scientific computing, finance, forecasting
- Machine Learning, Analytics, Data mining
- Multithreaded benchmarks, benchmark cloning
- Operating system and hypervisor effects and overheads
- Power management, reliability, security, performance
- Processors, memory hierarchy, I/O, and networks
- Profiling, trace collection, synthetic traces
- Search engines, e-commerce, web services, databases, file/application servers
- Security, reliability, biometrics
- Validation of benchmarks
- Virtual machines, Websphere, .NET, Java VM, databases
Important Dates:
- Paper Submission: June 02, 2017
- Author Notification: August 01, 2017
- Final Version Due : August 18, 2017
User Name : Claude
Posted 03-03-2017 on 14:46:06 AEDT
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