IISWC 2020

2020 IEEE International Symposium on Workload Characterization
October 27-29, 2020

Submissions Due: July 10, 2020

IISWC invites manuscripts that present original unpublished research in all areas related to characterization and analysis of computing system workloads, including translational research related to production-oriented commercial systems. Work focusing on emerging technologies and interdisciplinary work are especially welcome. Topics of interest include (but are not limited to): Characterization of applications in traditional and emerging domains, characterization of system software and middleware, implications of workloads in system design, benchmarking methodologies and suites, and tools for computer systems. A detailed list of the topics can be found at the end of this CFP.

Deadlines

Submission Deadline: July 10, 2020

Decision Notification: Aug 24, 2020

Camera-ready deadline : Sep 15, 2020

New in 2020

This year, submissions to IISWC can be made in one of the following two categories: (1) regular papers (2) tool and benchmark papers. The primary focus of “regular papers” should be to describe new research ideas supported by experimental implementation and evaluation of the proposed research ideas. The primary focus of “tool and benchmarks papers” should be to describe the design, development, and evaluation of new open-source tools / benchmarks suites.

Authors are required to indicate the category of the paper as a part of the submitted manuscript’s title. The last line of the title should indicate the paper type by using one of the two phrases (1) Paper Type: Regular, or (2) Paper Type: Tool/Benchmark.

The paper categories primarily differ in terms of their focus (new research idea vs. new open-source benchmark-suite / tool) and length (regular papers can be up to 10 pages long excluding references; tool and benchmark papers can be up to 6 pages long excluding references). But, the submissions in both the categories will be evaluated to the same standards in terms of novelty, scientific value, demonstrated usefulness, and potential impact on the field. Submissions in the “regular papers” category are also welcome to open-source their software or hardware artifacts. But, the chosen category at the time of the submission can not be changed after the submission deadline.

Double-blind submission guidelines apply to the submissions in both the categories.

Open-source benchmarks and tools that have not been previously published (but may have been open-sourced) are eligible for submission in the “tool and benchmark papers” category. Even in cases where the benchmarks suite / tool is already being used in the community, the authors should demonstrate good faith effort to adhere to the double-blind submission guidelines. All submitted papers should have obtained the legal permission (if applicable) to open-source the benchmark-suite / tool at the time of submission.

Topics of Interest

Characterization of applications in domains including

• Life sciences, bioinformatics, scientific computing, finance, forecasting
• Machine learning, data analytics, data mining
• Cyber-physical systems, pervasive computation and Internet of Things (IoT)
• Security and privacy-preserving computing
• Quantum computing
• High performance computing
• Cloud and edge computing
• Mobile computing
• User behavior and system-user interaction
• Search engines, e-commerce, web services, and databases
• Embedded, multimedia, real-time, 3D-graphics, gaming
• Blockchain services

 

Emerging workloads and architectures, such as

• Quantum computations and communication
• Serverless computing
• Near-threshold computing
• Non-volatile memory
• Near data processing architectures
• Neuromorphic and brain-inspired computing
• Artificial intelligence and transactional memory workloads

 

Characterization of OS, Virtual Machine, middleware and library behavior, including

• Virtual machines, .NET, Java VM, databases
• Graphics libraries, scientific libraries
• Operating system and hypervisor effects and overheads

 

Implications of workloads in system design, such as

• Power management, reliability, security, privacy, performance
• Processors, memory hierarchy, I/O, and networks
• Design of accelerators, FPGAs, GPUs, CGRAs, etc.
• Large-scale computing infrastructures and facilities

 

Benchmark methodologies and suites, including

• Representative benchmarks for emerging workloads
• Benchmark cloning methods
• 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