Conference Information
PADS 2023: ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
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Conference Date:
Orlando, Florida, USA
CORE: b   QUALIS: b1   Viewed: 13978   Tracked: 2   Attend: 0

Call For Papers
The ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (ACM SIGSIM-PADS) is the flagship conference of the Association for Computing Machinery (ACM)’s Special Interest Group on Simulation and Modeling (SIGSIM).

ACM SIGSIM-PADS continues its reputation for high quality papers. ACM SIGSIM-PADS complies with the ACM policy on Conflict of Interest.


The ACM SIGSIM-PADS conference focuses on cutting-edge research that lies at the intersection of Computer Science and Modeling and Simulation (M&S). High quality papers are solicited in all aspects of M&S, including (but not restricted to) the following areas:

    Advanced modeling techniques, including reuse of models, new modeling languages, agent-based M&S, and spatially explicit M&S.
    Algorithms and methods for parallel or distributed simulation, including synchronization, scheduling, memory management, load balancing, and scalability issues.
    New simulation algorithms and techniques including hybrid simulation approaches, adaptive algorithms, approximations, GPU, FPGA and hybrid architecture acceleration.
    Modeling and simulation for big data and big data analytics
    Simulation infrastructure and security issues for large scale distributed and/or cloud-based modeling and simulation
    Model and simulation persistence and recovery in the presence of hardware failures
    Integration of simulation with other IT systems, methods, and developments including simulation-based decision-making, visual analytics, intelligent support in M&S, and simulation in cloud computing environments.
    Mechanisms for efficient design of experiments, including dynamic verification and validation of models, and automatic simulation model generation and initialization.
    M&S applied to manage and/or optimize operational systems and methodological challenges arising from these applications including online simulation, symbiotic simulation, dynamic data driven application systems, real-time and embedded simulation, and emulation of real systems.
    Tools and techniques for interoperability and composability of simulations including emerging standards and service-oriented approaches.
    Case studies considering the application of new or advanced computational methods to applications of contemporary interest.
Last updated by Dou Sun in 2022-12-12
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