n-Cube Model for Cluster Computing and Its Evaluation

摘要：

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. 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 models SPN is also discussed formally. Finally, we take MM5 (the Fifth Generation Model) as a case and the comparative performance analysis shows the immense vitality of the model.

作者: Tian Song Dongsheng Wang Meizhi Hu Yibo Xue

作者单位: Tsinghua University, Beijing, 100084, P. R. China

会议类型: 国际会议

会议名称: 7th International Symposium,APPT 2007(第7届高级并行处理技术大会)

会议地点: 广州

会议语种:英文

页码: 340-351

在线出版日期: 2007-11-22（万方平台首次上网日期，不代表论文的发表时间）