Exact performance estimates for multiprocessor memory and bus interference
IEEE Transactions on Computers
Effective Memory Bandwidth and Processor Blocking Probability in Multiple-Bus Systems
IEEE Transactions on Computers
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Probabilistic analysis of a crossbar switch
ISCA '82 Proceedings of the 9th annual symposium on Computer Architecture
Modeling Bus Contention and Memory Interference in a Multiprocessor System
IEEE Transactions on Computers
Approximate Models of Multiple Bus Multiprocessor Systems
IEEE Transactions on Computers
Markov Models for Multiple Bus Multiprocessor Systems
IEEE Transactions on Computers
Performance of Cross-Bar Multiprocessor Systems
IEEE Transactions on Computers
A Closed-Form Solution for the Perfornance Analysis of Multiple-Bus Multiprocessor Systems
IEEE Transactions on Computers
Comparative Performance Analysis of Single Bus Multiprocessor Architectures
IEEE Transactions on Computers
A combinatorial approach to performance analysis of a shared-memory multiprocessor
COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
Performance analysis of common bus multimicroprocessor systems
Journal of Systems and Software
On the product-form solution of a class of multiple-bus multiprocessor system models
Journal of Systems and Software
| Hi-index | 15.01 |
Past studies of memory interference in multiprocessor systems have generally assumed that the references of each processor are uniformly distributed among the memory modules. In this paper we develop a model with local referencing, which reflects more closely the behavior of real-life programs. This model is analyzed using Markov chain techniques and expressions are derived for the multiprocessor performance. New expressions are also obtained for the performance in the traditional uniform reference model and are compared with other expressions-available in the literature. Results of a simulation study are given to show the accuracy of the expressions for both models.