2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (2012)
July 15, 2012 to July 19, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PADS.2012.15
Time Warp synchronized parallel discrete event simulators are organized to operate asynchronously and aggressively without explicit synchronization between the concurrently executing simulators. In place of an explicit synchronization mechanism, the concurrent simulators maintain a common virtual clock model and implement a rollback/recovery mechanism to restore causal order when out-of-order events are detected. When the critical path of execution of the simulation is balanced across these parallel simulators, this can result in a highly effective, lightweight synchronization mechanism. However, imbalances in the workload across the parallel simulators can result in excessive rollback at some nodes and ultimately result in an overall slowing of the simulation as prematurely computed and transmitted events are processed. On small shared memory multi-core systems, a lowest time-stamp first scheduling policy can effectively balance the workload. However, on larger many-core chips, conventional load balancing and workload migration will once again become necessary. Fortunately, emerging many-core chips contain some interesting features that can potentially be exploited to improve the performance of parallel simulations. For example, the Intel Single-chip Cloud Computer (SCC) provides mechanisms that a running application can use to adjust the frequency/voltage of different regions (called islands) of the chip. These islands are network and processing core centric and thus, in a Time Warp simulation, one can increase the frequency of the cores executing threads on the critical path (those experiencing infrequent rollback) and decrease the frequency of the cores executing threads off the critical path (those experiencing excessive rollback). This paper investigates the run-time control and adjustment of core frequency in an AMD Phenom II X6 multi-core processor to explore and demonstrate that the dynamic run-time control of core frequency can sometimes improve the performance of a Time Warp synchronized parallel simulation.
Program processors, Frequency control, Multicore processing, Frequency measurement, Acceleration, Synchronization, Clocks, run time tuning, parallel simulation, time warp synchronization, many-core processors
Ryan Child, Philip Wilsey, "Dynamically Adjusting Core Frequencies to Accelerate Time Warp Simulations in Many-Core Processors", 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, vol. 00, no. , pp. 35-43, 2012, doi:10.1109/PADS.2012.15