# IISWC — IEEE International Symposium on Workload Characterization

- **Submission deadline**: 2025-06-21
- **Notification date**: 2025-08-12
- **Conference date**: 2025-10-12
- **Location**: Irvine, California, USA
- **Conference Partner Index**: 44.9/100 (ranked #2740, confidence 0.25, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 3
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/3240

## Call for papers

Topics of InterestPermalink 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

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Source: Conference Partner — https://www.myhuiban.com/conference/3240 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)