Información de la conferencia
IISWC 2025: IEEE International Symposium on Workload Characterization
https://iiswc.org/iiswc2025/
Día de Entrega:
2025-06-21
Fecha de Notificación:
2025-08-12
Fecha de Conferencia:
2025-10-12
Ubicación:
Irvine, California, USA
Vistas: 13460   Seguidores: 3   Asistentes: 0

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Characterization of applications in domains including

    Life sciences, bioinformatics, scientific computing, finance, forecasting
    Machine learning, deep learning, generative AI and LLMs, 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
    Human-computer interaction (HCI)
    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

    Accelerator-based computing
    Quantum computations and communication
    Serverless computing
    Near-threshold computing
    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-aware computing and carbon footprinting
    Dependable system and software architectures
    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

    Measurement tools and software for carbon footprinting
    Instrumentation methodologies for workload verification and characterization
    Techniques for accurate analysis/measurement of production systems
    Analytical and abstract modeling of program behavior and systems
Última Actualización Por Dou Sun en 2025-06-07
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