The Stanford Dash Multiprocessor
Computer
The SPLASH-2 programs: characterization and methodological considerations
ISCA '95 Proceedings of the 22nd annual international symposium on Computer architecture
Journal of Parallel and Distributed Computing - Special issue on parallel computing with optical interconnects
Traffic Temporal Analysis for Reconfigurable Interconnects in Shared-Memory Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 3 - Volume 04
Congestion modeling for reconfigurable inter-processor networks
Proceedings of the 2006 international workshop on System-level interconnect prediction
Profiling of parallel processing programs on shared memory multiprocessors using Simics
ACM SIGARCH Computer Architecture News - Special issue on the 2005 workshop on binary instrumentation and application
Predicting reconfigurable interconnect performance in distributed shared-memory systems
Integration, the VLSI Journal
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Reconfigurable interconnection networks for distributed shared memory machines exploit properties of the workload dynamics that are not easily captured by statistical traffic models. Therefore, when designing such a network, one should make trade-offs based on full-system simulation for all viable workloads. It is however very time-consuming to do such simulations. In this paper, we present a technique that can predict the performance of a machine for different network parameters, based on the results of only one full simulation run. We also define confidence intervals for our prediction, and analyze the impact of several assumptions that were made.