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PADS 2021 : ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

Suffolk, VA, USA
Event Date: May 31, 2020 - Jun 02, 2020
Abstract Submission Deadline: Jan 17, 2021
Submission Deadline: Jan 31, 2021
Notification of Acceptance: Mar 21, 2021
Camera Ready Version Due : Apr 11, 2021


The annual PADS conference has a long history dating back to 1985. The conference was formerly known under the name Principles of Advanced and Distributed Simulation, and before that simply Parallel and Distributed Simulation. Over the years PADS has broadened its scope beyond its origins in parallel and distributed simulation and now encompasses virtually all research that lies at the intersection of the computer science and the modeling and simulation fields. Specifically, many research topics not related to parallel or distributed model execution are now included.

Call For Paper

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.

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