IISWC invites manuscripts that present original unpublished research in all areas related to characterization and analysis of computing system workloads, including translational research related to production-oriented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.

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
    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
    Augmented reality and virtual reality

Characterization of workloads for 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
    Transactional memory systems
    Biology (e.g., DNA sequencing) and chemistry 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