Conference Information
IISWC 2021: IEEE International Symposium on Workload Characterization
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Call For Papers
IISWC invites manuscripts that present original unpublished research in all areas related to characterization and analysis of computing system workloads, including translational research related to production-oriented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. 

**New in 2021 -- Artifact Evaluation**

This year, IISWC will include an artifact evaluation process to promote the reproducibility of experimental results. We will invite the authors of accepted IISWC papers to submit their supporting materials to the Artifact Evaluation process, which is to assess how the artifacts support the work described in the papers. This submission will be voluntary and will not influence the final decision regarding acceptance of the paper. The description of the artifact will not be included in the page limit. The artifact submission deadline will be shortly after the notification of the paper's acceptance -- authors should prepare in advance to ensure sufficient time for artifact assembly and documentation. More details of artifact evaluation will be made available to the authors of the accepted paper.

Submission Guidelines

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" (submission length: 10 pages, excluding references) 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. Submissions in the "regular papers" category are also encouraged to open-source their software or hardware artifacts.

The 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.

Papers in the tool and benchmark category with relatively shorter length (6 pages) are welcome, if the contributions can be well articulated and substantiated. However, all submissions in the tool and benchmark category have the flexibility of using all 10 pages (excluding references).

The submissions in both categories will be evaluated to the same standards in terms of novelty, scientific value, demonstrated usefulness, and potential impact on the field. The nature of the contribution differs between the two categories (new research idea vs. new open-source benchmark-suite / tool) and papers will be evaluated based on the intended nature of the contribution, as declared by the chosen paper category at the time of the submission. 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 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 a good faith effort to adhere to the double-blind submission guidelines. All submitted papers should have obtained 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
Last updated by Dou Sun in 2021-06-05
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