IISWC 2017

2017 IEEE International Symposium on Workload Characterization (IISWC’17)
http://www.iiswc.org
Seattle, WA
October 1-3, 2017

IMPORTANT DATES
Abstract deadline: June 2, 2017 (11:59:59PM EST)
Paper submission deadline: June 9, 2017 (11:59:59PM EST)
Author notification: August 1st, 2017
Final Manuscript Submission: August 28, 2017
Early Registration Deadline: September 18, 2017

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
– Cloud, grid, search engines, e-commerce, web, databases, file/application servers
– Embedded, real-time, Edge Computing, mobile and extensible distributed systems, multimedia
– Memory, storage, and file systems
– Life sciences, bioinformatics, scientific computing, finance, forecasting
– Management and/or analytics big data, machine Learning, Analytics, Data mining and other data-intensive computation
– Security, reliability, biometrics
– User behavior and system-user interaction, social computing
– Cyber-physical systems, pervasive computation and Internet of Things (IoT)

Characterization of workload on emerging technology, such as
– Quantum computation and communication
– Near-threshold Computation
– Non-volatile memory

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

Implications of workloads in design issues, such as
– Reliability, performance, power, security and privacy, scalability, and sustainability
– Processors, memory hierarchy, I/O, and networks
– Performance accelerators, FPGA’s, GPU’s, etc.
– Near data processing architectures
– Novel architectures (non-Von-Neumann)

Benchmark creation and evaluation, including
– Multithreaded benchmarks, benchmark cloning
– Profiling, trace collection, synthetic traces
– Validation of benchmarks

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

ORGANIZERS:
– General Chair: Eric Chung, Microsoft Research
– Program Chair: Antonia Zhai, University of Minnesota
– Workshop/Tutorial Chair: Hadi Esmaeilzadeh, Georgia Tech
– Publications Chair: Laura Caulfield, Microsoft Research
– Submissions Chair: Jieming Yin, AMD
– Finance Chair: Carole-Jean Wu, Arizona State University
– Local Arrangements Chair: Andrew Putnam, Microsoft Research
– Publicity Chair: Boris Grot, University of Edinburgh
– Industrial Liaison Chair: Lisa Wu, University of California, Berkeley
– Web Chair: Adrian Caulfield, Microsoft Research
– Registration Chair: Michael Papamichael, Microsoft Research
– Student Travel Grant Chair: Michael Ferdman, Stony Brook