May 23-25, 2018

Rome, Italy

PADS Program Description and Scope

PADS program is described and the scope of the conference is defined.

High-Fidelity Battlefield Simulation Support Military Simulation Simulations Prepare Marine Corps for War Virtual Reality Simulation Virtual Reality Driving Simulator Virtual Reality Medical Simulator
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ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS)
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PADS Program Description

ACM SIGSIM PADS is the flagship conference for the ACM Special Interest Group on Simulation and Modeling (SIGSIM). It continues a long history and reputation for high quality papers. Building upon previous conferences that focused on parallel and distributed simulation, SIGSIM PADS broadens this scope to encompass all innovations that lie at the intersection of computer science and modeling and simulation, emphasizing discrete event simulation models. It spans both sequential as well as parallel and distributed simulation techniques. SIGSIM PADS builds upon the long history of PADS conferences dating back to 1985.


PADS Program Scope

SIGSIM PADS solicits high quality papers dealing with cutting-edge research that lies at the intersection of computer science and modeling and simulation, including (but not restricted to) the following areas:

  • Advanced modeling techniques, and their execution using novel simulation algorithms
  • Agent-based modeling and simulation,
  • Algorithms and methods for parallel or distributed simulation, including synchronization, scheduling, memory management, and load balancing.
  • Applications of large-scale or distributed simulation methods.
  • Development of advanced simulation engines
  • Distributed simulation.
  • GPU, FPGA and hybrid architecture acceleration.
  • Integration of simulation with other IT systems, including automatic simulation model generation and initialization and simulation based decision-making.
  • Mechanisms for efficient design of experiments.
  • Modeling and Simulation applied to solve problems in previously difficult or impossible domains.
  • Online and symbiotic simulation.
  • Parallel algorithms and high performance simulation.
  • Real-Time and Embedded Simulation
  • Simulation as emulation of real systems.
  • Simulation visualization techniques.
  • Techniques for constructing scalable simulations.
  • Tools and techniques for interoperability of simulations.






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