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PADS 2021 - ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
Topics/Call fo Papers
The ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (ACM SIGSIM PADS) is the flagship conference of ACM's Special Interest Group on Simulation and Modeling (SIGSIM). The annual PADS conference has a long history dating back to 1985. It now encompasses virtually all research that lies at the intersection of the computer science and the modeling and simulation fields.
Submission Guidelines
The ACM SIGSIM PADS conference focuses on cutting-edge research that lies at the intersection of Computer Science and Modeling and Simulation (M&S). All papers must be original and not simultaneously submitted to another journal or conference. An abstract submission is required for all papers prior to the paper submission in the ACM conference format (double column; single space). Reviews are double-blind thus all identifying information must be removed from the manuscript: this includes removing authors' names and affiliations, acknowledgements, funding information, and all references to the authors' work that would disclose their identity. This information can be added to accepted manuscripts.
Abstracts are due by January 17, 2021. Afterward, submissions can be submitted up to January 31, 2021.
We have multiple formats (see details below), including full research articles, panels, and tutorials (10 pages + 1 for references); and shorter papers (4-6 pages) for work-in-progress.
List of Topics
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.
Submission Guidelines
The ACM SIGSIM PADS conference focuses on cutting-edge research that lies at the intersection of Computer Science and Modeling and Simulation (M&S). All papers must be original and not simultaneously submitted to another journal or conference. An abstract submission is required for all papers prior to the paper submission in the ACM conference format (double column; single space). Reviews are double-blind thus all identifying information must be removed from the manuscript: this includes removing authors' names and affiliations, acknowledgements, funding information, and all references to the authors' work that would disclose their identity. This information can be added to accepted manuscripts.
Abstracts are due by January 17, 2021. Afterward, submissions can be submitted up to January 31, 2021.
We have multiple formats (see details below), including full research articles, panels, and tutorials (10 pages + 1 for references); and shorter papers (4-6 pages) for work-in-progress.
List of Topics
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.
Other CFPs
Last modified: 2020-10-08 14:24:33