2026 IEEE International Symposium on Workload Characterization (IISWC 2026)

September 27–29, 2026, Colorado, USA

Scope & Topics

2026 IEEE International Symposium on Workload Characterization (IISWC 2026) is the premier IEEE forum dedicated to the characterization and analysis of computing workloads. The symposium brings together researchers, architects, system designers, compiler developers, industry practitioners, and performance analysts to discuss innovative techniques, methodologies, and tools for understanding modern computing systems.

IISWC provides an international platform for presenting advances in workload characterization, benchmarking methodologies, performance evaluation, computer architecture, cloud computing, artificial intelligence workloads, accelerator technologies, and emerging computing paradigms.

The symposium encourages collaboration between academia and industry by showcasing cutting-edge research, practical experiences, industrial case studies, and future directions that improve the design, evaluation, optimization, and deployment of modern computing systems.

Topics of Interest include, but are not limited to:

• Workload Characterization and Analysis
• Performance Evaluation and Benchmarking
• Computer Architecture
• Cloud Computing Workloads
• Datacenter Systems
• Artificial Intelligence and Machine Learning Workloads
• Large Language Model (LLM) Workloads
• GPU and Accelerator Performance
• High Performance Computing (HPC)
• Memory System Characterization
• Storage System Performance
• Operating Systems and Virtualization
• Edge and IoT Computing Workloads
• Mobile Computing Performance
• Compiler and Runtime Optimization
• Power and Energy Efficiency
• Performance Modeling and Simulation
• Tracing, Profiling and Instrumentation
• Security and Privacy Workloads
• Networking and Distributed Systems
• Database and Web Service Workloads
• Emerging Computing Technologies

Paper Submission

Authors are invited to submit original and unpublished research papers describing novel methodologies, benchmarking techniques, workload analysis, performance evaluation, experimental studies, software and hardware innovations, and practical experiences in computer system workload characterization. Submitted manuscripts must not have been previously published or be under review elsewhere. All submissions will undergo a rigorous peer-review process based on originality, technical quality, significance, and relevance to the symposium.

Publication

Accepted papers will be presented at the symposium and published in the IEEE International Symposium on Workload Characterization (IISWC 2026) Proceedings. Accepted papers will be submitted for inclusion in the IEEE Xplore Digital Library, subject to IEEE publication policies.

Important Dates

Abstract Registration Deadline	:	May 14, 2026
Paper Submission Deadline	:	May 21, 2026
Notification of Acceptance	:	July 27, 2026
Camera-Ready Paper Due	:	August 28, 2026
Symposium Date	:	September 27–29, 2026

Contact Us

User Name : laura
Posted 20-07-2026 on 21:49:45

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