@inproceedings{e5f6e10ce53f450b9e96ed0315dea64d,
title = "n-Cube model for cluster computing and its evaluation",
abstract = "Cluster systems are widely used in modern high performance computing. With the rapidly increasing of parallel algorithms, it is an open problem to analyze and evaluate whether they take good advantage of the computing and network resources of clusters.[1-3] We present a novel mathematic model(n-Cube Model for Cluster Computing) that epitomizes the algorithms commonly used on clusters and evaluate this model using Stochastic Petri Nets (SPN). The state space of our model's SPN is also discussed formally. Finally, we take MM5(the FifthGeneration Model) as a case and the comparative performance analysis shows the immense vitality of the model.",
author = "Tian Song and Dongsheng Wang and Meizhi Hu and Yibo Xue",
year = "2007",
doi = "10.1007/978-3-540-76837-1\_38",
language = "English",
isbn = "9783540768364",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "340--351",
booktitle = "Advanced Parallel Processing Technologies - 7th International Symposium, APPT 2007",
address = "Germany",
note = "7th International Symposium on Advanced Parallel Processing Technologies, APPT 2007 ; Conference date: 22-11-2007 Through 23-11-2007",
}