CAMS 2023
The 1st Workshop on Computer Architecture Modeling and Simulation (CAMS 2023)
October 28, 2023
Toronto, Canada
Simulator and performance modeling tools are the lifeblood of advancements in computer architecture research and design. They allow researchers to predict, analyze, and understand complex systems, ultimately driving forward technological innovation. Our "Computer Architecture Modeling and Simulation" workshop is dedicated to this critical field. It offers a platform for enthusiasts, researchers, and industry professionals to discuss simulator development, performance and power modeling, AI-based modeling techniques, and more. Beyond exploring technical aspects, this workshop emphasizes the necessity of creating and appreciating effective tools, and standardizing methods to evaluate them. We aim to generate meaningful discussions and collaboration, fostering the development of impactful solutions and methodologies that will shape the future of computer architecture modeling and simulation.
Authors are invited to submit original research papers in the general area of computer architecture modeling and simulation. Topics include, but are not limited to:
- Simulator Development: Design, theory, implementation, and integration of simulators.
- Performance Modeling: Strategies for prediction, validation, and architectural feature impact assessment.
- Simulation for Metrics other than Time: Methods for Power, Reliability, Security, and Robustness Modeling.
- Tools and Studies Survey: Review and comparison of existing simulation tools and applications.
- Scalable Simulation Techniques: Approaches for improving simulation scalability and efficiency.
- Modeling and Simulation for Unconventional Architectures: Challenges and approaches for emerging and unconventional architectures.
- Hardware-in-the-loop Simulation: Advancements and case studies in hardware-in-the-loop validation.
- Modeling for Machine Learning (Sim4AI): Architectural considerations and models for hardware accelerators.
- AI-Based Performance Modeling Techniques (AI4Sim): Exploration of AI application in performance modeling.
- Validation Techniques: Approaches for validating simulation model accuracy.
- Human-centered Simulation Methods: User-friendly visualization, real-time monitoring, and user-centric analysis techniques.
