Modeling the Effects of Contention on the Performance of Heterogeneous Applications

Fast networks have made it possible to coordinate distributed heterogeneous CPU, memory, and storage resources to provide a powerful platform for executing high-performance applications. However, the performance of these applications on such systems is highly dependent on the allocation and efficient coordination of application tasks. A key component for a performance-efficient allocation strategy is a predictive model which provides a realistic estimate of application performance under varying resource loads. In this paper, we present a model for predicting the effects of contention on application behavior in heterogeneous systems. In particular, our model calculates the slowdown imposed on communication and computation for non-dedicated twomachine heterogeneous platforms. We describe the model for the Sun/CM2 and Sun/Paragon coupled heterogeneous systems. We present experiments on production systems with emulated contention which show the predicted communication and computation cost...

• Type: Conference
• Year: 1996
• Where: HPDC
• Authors: Silvia M. Figueira, Francine Berman
• Keywords: Distributed And Parallel Computing, Heterogeneous Cpu, Heterogeneous Systems, HPDC 1996, Model