ISCA '88 Proceedings of the 15th Annual International Symposium on Computer architecture
Computer
Performance analysis of hierarchical cache-consistent multiprocessors
Performance Evaluation - Selected papers from the international seminar on performance of distributed and parallel systems
Mean-Value Analysis of Closed Multichain Queuing Networks
Journal of the ACM (JACM)
Using cache memory to reduce processor-memory traffic
ISCA '83 Proceedings of the 10th annual international symposium on Computer architecture
Architectural support for translation table management in large address space machines
ISCA '93 Proceedings of the 20th annual international symposium on computer architecture
An analytical model of high performance superscalar-based multiprocessors
PACT '95 Proceedings of the IFIP WG10.3 working conference on Parallel architectures and compilation techniques
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This paper describes an approximate Mean Value Analysis (MVA) model developed to project the performance of a small-scale shared-memory commercial symmetric multiprocessor system. The system, based on Hewlett Packard Precision Architecture processors, supports multiple active user processes and multiple execution threads within the operating system.Using detailed timing for hardware delays, a customized approximate closed queueing model is developed for the multiprocessor system. The model evaluates delays due to bus and memory contention, and cache interference. It predicts bus bandwidth requirements and utilizations for the bus and memory controllers. An extension to handle I/O traffic is outlined.Applications are profiled on the basis of execution traces on uniprocessor systems to provide inputs parameters for the model. Performance effects of various detailed architectural tradeoffs (memory interleaving, lower memory latencies) are examined. The sensitivity of overall system performance to various parameters is explored. Preliminary measurements of uniprocessor systems are compared against the model predictions. A prototype multiprocessor system is under development. We intend to validate the modeling results against measurements.