The ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS 2025) is dedicated to all aspects of simulation technology, including:
Algorithms and methods for parallel or distributed simulation, including scheduling, synchronization, load balancing and memory management
Advanced modeling techniques, including new modeling languages, reuse of models, spatial M&S and agent-based M&S
Integration of simulation with other IT systems, methods, and developments including visual analytics, simulation based decision-making, simulation in the grid or in the cloud and intelligent support in M&S
New simulation algorithms including adaptive algorithms, hybrid simulation approaches, GPU, and approximations, hybrid architecture acceleration and FPGA
M&S applied to solve problems in difficult domains and methodological challenges arising from these applications including real-time and embedded simulation, online and symbiotic simulation and emulation of real systems
Mechanisms for efficient design of experiments, including automatic simulation model generation and initialization, dynamic verification and validation of models
Tools and techniques for interoperability of simulations, including service-oriented approaches and emerging standards
Venue
Drury Plaza Hotel in Santa Fe ,
828 Paseo de Peralta, Santa Fe, New Mexico, United States
ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS 2025) - 23-26 Jun 2025, Drury Plaza Hotel in Santa Fe, New Mexico, United States (28139)
ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS 2026) - Jun 2026, United States (14045)
Past Events
ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS 2024) - 24-26 Jun 2024, Georgia Tech Research Institute (GTRI) Conference Center, Atlanta, Georgia, United States (28138)
Important
Please, check "ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS)" official website for possible changes, before making any traveling arrangements
Event Categories
Science: Computer Science, Engineering
Technology: Data management, Extended Reality (XR), Software & Applications