[hpc-announce] CFP: 2019 IEEE International Symposium on Workload Characterization (IISWC)

Voskuilen, Gwendolyn Renae grvosku at sandia.gov
Thu Apr 4 10:56:05 CDT 2019



2019 Annual IEEE International Symposium on Workload Characterization (IISWC)
November 3-5, 2019
Orlando, FL, USA


Abstract Deadline: May 24, 2019
Paper Submission Deadline: May 31, 2019
Author Notification: August 15, 2019

* About *
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 domains including
    * Memory, storage, and file systems
    * Cyber-physical systems, pervasive computations and Internet of Things (IoTs)
    * Search engines, e-commerce, web services, databases, file/application servers
    * Embedded, mobile, multimedia, real-time, 3D-graphics, gaming
    * Life sciences, bioinformatics, scientific computing, finance, forecasting
    * Machine learning, analytics, data mining
    * Blockchain, security, reliability, biometrics
    * Cloud and edge computing
    * User behavior and system-user interaction

 * Emerging workloads and architectures, such as
    * Transactional memory workloads; workloads for multi/many-core systems
    * Stream-based computing workloads; web/internet workloads
    * Near data processing architectures
    * Quantum computations and communication
    * Near-threshold computation
    * Non-volatile memory

 * Implications of workloads in design issues, such as
    * Power management, reliability, security, performance
    * Processors, memory hierarchy, I/O, and networks
    * Design of accelerators, FPGAs, GPUs, CGRAs, etc.
    * Novel architectures (non-Von-Neumann)

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

 * Characterization of OS/VMM, middleware and library behavior, including
    * Virtual machines, .NET, Java VM, databases
    * Graphics libraries, scientific libraries
    * Operating system and hypervisor effects and overheads

 * 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

* General Chairs *
Yan Solihin, Univ of Central Florida
Amro Awad, Univ of Central Florida

* Program Chairs *
Ravi Iyer, Intel
Vijay Janapa Reddi, Harvard

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