Adaptive and Speculative Slack Simulations of CMPs on CMPs
MICRO '43 Proceedings of the 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture
VM-based slack emulation of large-scale systems
Proceedings of the 1st International Workshop on Runtime and Operating Systems for Supercomputers
A high-parallelism distributed scheduling mechanism for multi-core instruction-set simulation
Proceedings of the 48th Design Automation Conference
Virtual-machine-based emulation of future generation high-performance computing systems
International Journal of High Performance Computing Applications
A distributed timing synchronization technique for parallel multi-core instruction-set simulation
ACM Transactions on Embedded Computing Systems (TECS) - Special section on ESTIMedia'12, LCTES'11, rigorous embedded systems design, and multiprocessor system-on-chip for cyber-physical systems
Hi-index | 0.00 |
Parallel simulation is a technique to accelerate microarchitecture simulation of CMPs by exploiting the inherent parallelism of CMPs. In this paper, we explore the simulation paradigm of simulating each core of a target CMP in one thread and then spreading the threads across the hardware thread contexts of a host CMP. We start with cycle-by-cycle simulation and then relax the synchronization condition in various schemes, which we call slack simulations. In slack simulations, the Pthreads simulating different simulated cores do not synchronize after each simulated cycle, but rather they are given some slack. The slack is the difference in cycle between the simulated times of any two target cores. Small slacks, such as a few cycles, greatly improve the efficiency of parallel CMP simulations, with no or negligible simulation error. We have developed a simulation framework called SlackSim to experiment with various slack simulation schemes. Unlike previous attempts to parallelize multiprocessor simulations on distributed memory machines, SlackSim takes advantage of the efficient sharing of data in the host CMP architecture. We demonstrate the efficiency and accuracy of some well-known slack simulation schemes and of some new ones on SlackSim running on a state-of-the-art CMP platform.