ACM Transactions on Programming Languages and Systems (TOPLAS)
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
An algorithm for minimally latent global virtual time
PADS '93 Proceedings of the seventh workshop on Parallel and distributed simulation
Efficient algorithms for distributed snapshots and global virtual time approximation
Journal of Parallel and Distributed Computing - Special issue on parallel and discrete event simulation
pGVT: an algorithm for accurate GVT estimation
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
GTW: a time warp system for shared memory multiprocessors
WSC '94 Proceedings of the 26th conference on Winter simulation
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
WARPED: A Time Warp Simulation Kernel for Analysis and Application Development
HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 1: Software Technology and Architecture
Distributed simulation, algorithms and performance analysis (load balancing, distributed processing)
Distributed simulation, algorithms and performance analysis (load balancing, distributed processing)
DSIM: scaling time warp to 1,033 processors
WSC '05 Proceedings of the 37th conference on Winter simulation
Experimental analysis of logical process simulation algorithms in JAMES II
Winter Simulation Conference
Dynamically Adjusting Core Frequencies to Accelerate Time Warp Simulations in Many-Core Processors
PADS '12 Proceedings of the 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation
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WARPED is a publically available Time Warp simulationkernel. The kernel defines a standard interface to the applicationdeveloper and is designed to provide a highlyconfigurable environment for the integration of Time Warpoptimizations. It is written in C++, uses the MPI messagepassing standard, and executes on a variety of paralleland distributed processing platforms. Version 2.0 ofWARPED described here is distributed with several applicationsand the configuration can be set so that a sequentialkernel implementation can be instantiated. The kernelsupports LP clustering, various GVT algorithms, and numerousoptimizations to adaptively adjust simulation parametersat runtime.