The communication challenge for MPP: Intel Paragon and Meiko CS-2
Parallel Computing
LogP: a practical model of parallel computation
Communications of the ACM
LogGP: incorporating long messages into the LogP model for parallel computation
Journal of Parallel and Distributed Computing
LoGPC: Modeling Network Contention in Message-Passing Programs
IEEE Transactions on Parallel and Distributed Systems
Measurement and prediction of communication delays in myrinet networks
Journal of Parallel and Distributed Computing - Special issue on cluster and network-based computing
Fast Measurement of LogP Parameters for Message Passing Platforms
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
SimGrid: A Generic Framework for Large-Scale Distributed Experiments
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
The Scalasca performance toolset architecture
Concurrency and Computation: Practice & Experience - Scalable Tools for High-End Computing
Assessing contention effects on MPI_alltoall communications
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
LogfP - a model for small messages in InfiniBand
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
| Hi-index | 0.00 |
Multi-core clusters are cost-effective clusters largely used in high-performance computing. Parallel applications using message passing as a communication mechanism may introduce complex communication behaviours on such clusters. By sending and receiving data simultaneously from and to several nodes, parallel applications create concurrent accesses to the resources of the network. In this paper, we present a general model that expresses network resource sharing characterised by a dynamic contention graph. The model is based on a linear system weighted by bandwidth distribution factors called penalty coefficients that are specific to a network technology. We propose a method to solve the linear system and present an analysis to determine penalty coefficients on InfiniBand technology. We use complex network conflicts to assess the ability of the model to predict with low errors.