Future Generation Computer Systems
The implementation of dynamite: an environment for migrating PVM tasks
ACM SIGOPS Operating Systems Review
Distributed particle simulation method on adaptive collaborative system
Future Generation Computer Systems - I. High Performance Numerical Methods and Applications. II. Performance Data Mining: Automated Diagnosis, Adaption, and Optimization
Cactus Tools for Grid Applications
Cluster Computing
Distributed simulation of hybrid systems with AnyLogic and HLA
Future Generation Computer Systems - Parallel computing technologies (PaCT-2001)
System-Level Versus User-Defined Checkpointing
SRDS '98 Proceedings of the The 17th IEEE Symposium on Reliable Distributed Systems
Towards a Grid Management System for HLA-Based Interactive Simulations
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Designing and evaluating an active grid architecture
Future Generation Computer Systems - Special issue: Advanced grid technologies
Federate migration in HLA-based simulation
Future Generation Computer Systems
Future Generation Computer Systems - Systems performance analysis and evaluation
A grid service for management of multiple HLA federate processes
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Performance of a parallel astrophysical n-body solver on pan-european computational grids
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
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The grid paradigm for distributed computation provides an interesting framework for the simulation of dense stellar systems, which remains a great challenge for astrophysicists. In this work we apply a distributed simulation model to the astrophysical N-body problem: the High Level Architecture (HLA), using distributed federations on top of grid infrastructures for the communication between simulation and visualization components. To achieve this goal, we use a grid HLA Management system (G-HLAM) for HLA-based simulations running on the grid. We compare this setup with a direct parallelization of the N-body code using MPI on the grid. Our aim is to provide scientists with an interactive environment where, in contrast to traditional MPI-based parallel processing, seamless simulation process migration and rollbacks can be invoked on the fly to improve the overall computational performance. We found that MPI and HLA are complementary rather than competing technologies, as they can be used simultaneously to improve the performance of complex simulations on different fronts. On one hand, if the communication to computation ratio is small enough, the MPI parallelization proves to be a relatively easy and efficient method for taking advantage of grid technology. On the other hand, HLA provides advanced mechanisms to synchronize simulation and visualization components located on different grid nodes and can be used to add steering mechanisms to improve interaction. Finally, we found that HLA allows migration of running simulations to be easily managed, reducing overall communication times between simulation and the user, effectively improving the overall system performance.