Performance prediction of large-scale parallel discrete event models of physical systems

Authors:
Kalyan S. Perumalla;Richard M. Fujimoto;Prashant J. Thakare;Santosh Pande;Homa Karimabadi;Yuri Omelchenko;Jonathan Driscoll
Affiliations:
Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;Georgia Institute of Technology, Atlanta, GA;SciberQuest Inc., Solana Beach, CA;SciberQuest Inc., Solana Beach, CA;SciberQuest Inc., Solana Beach, CA
Venue:
WSC '05 Proceedings of the 37th conference on Winter simulation
Year:
2005

Citing 9
Cited 10

The Wisconsin Wind Tunnel: virtual prototyping of parallel computers

SIGMETRICS '93 Proceedings of the 1993 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Efficient algorithms for distributed snapshots and global virtual time approximation

Journal of Parallel and Distributed Computing - Special issue on parallel and discrete event simulation
Parallelized Direct Execution Simulation of Message-Passing Parallel Programs

IEEE Transactions on Parallel and Distributed Systems
MPI-SIM: using parallel simulation to evaluate MPI programs

Proceedings of the 30th conference on Winter simulation
Performance prediction of a parallel simulator

PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
µsik " A Micro-Kernel for Parallel/Distributed Simulation Systems

Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Performance Prediction Using Simulation of Large-Scale Interconnection Networks in POSE

Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
A new asynchronous methodology for modeling of physical systems: breaking the curse of courant condition

Journal of Computational Physics
Operating system support for virtual machines

ATEC '03 Proceedings of the annual conference on USENIX Annual Technical Conference

Performance Analysis of Shared Data Access Algorithms for Distributed Simulation of Multi-Agent Systems

Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation
Predicting Performance of Resolution Changes in Parallel Simulations

Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation
Data access in distributed simulations of multi-agent systems

Journal of Systems and Software
Predicting Performance Impacts due to Resolution Changes in Parallel Simulations

Simulation
A Grid-Inspired Mechanism for Coarse-Grained Experiment Execution

DS-RT '08 Proceedings of the 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
Data mining for simulation algorithm selection

Proceedings of the 2nd International Conference on Simulation Tools and Techniques
μπ: a scalable and transparent system for simulating MPI programs

Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
A Methodology to Predict the Performance of Distributed Simulations

PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
Model-driven performance prediction of HLA-based distributed simulation systems

Proceedings of the Winter Simulation Conference
Towards performance evaluation of conservative distributed discrete-event network simulations using second-order simulation

Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation

Quantified Score

Hi-index	0.00

Visualization

Abstract

A virtualization system is presented that is designed to help predict the performance of parallel/distributed discrete event simulations on massively parallel (supercomputing) platforms. It is intended to be useful in experimenting with and understanding the effects of execution parameters, such as different load balancing schemes and mixtures of model fidelity. A case study of the virtualization system is presented in the context of plasma physics simulations, highlighting important virtualization challenges and issues, such as reentrancy and synchronization in the virtual plane, and our corresponding solution approaches. A trace-based prediction methodology is presented, and is evaluated with a 1-D hybrid collisionless shock model simulation, with the predicted performance being validated against one obtained in actual simulation. Predicted performance measurements show excellent agreement with actual performance measurements on parallel platforms containing up to 512 CPUs.