Enhancing MPI with modern networking mechanisms in cluster interconnects

by Yu, Weikuan

Abstract (Summary)
Advances in CPU and networking technologies make it appealing to aggregate commodity compute nodes into ultra-scale clusters. But the performance achievable is highly dependent on how tightly their components are integrated together. The ever-increasing size of clusters and applications running over them leads to dramatic changes in the requirements. These include at least scalable resource management, fault tolerance process control, scalable collective communication, as well as high performance and scalable parallel IO. Message Passing Interface (MPI) is the de facto standard for the development of parallel applications. There are many research efforts actively studying how to leverage the best performance of the underlying systems and present to the end applications. In this dissertation, we exploit various modern networking mechanisms from the contemporary interconnects and integrate them into MPI implementations to enhance their performance and scalability. In particular, we have leveraged the novel features available from InfiniBand, Quadrics and Myrinet to provide scalable startup, adaptive connection management, scalable collective operations, as well as high performance parallel IO. We have also designed a parallel Checkpoint/Restart framework to provide transparent fault tolerance to parallel applications. Through this dissertation, we have demonstrated that modern networking mechanisms can be integrated into communication and IO subsystems for enhancing the scalability, performance and reliability of MPI implementations. Some of the research results have been incorporated into production MPI software releases such as MVAPICH/MVAPICH2 and LA-MPI. This dissertation has showcased and shed light on where and how to enhance the design of parallel communication subsystems to meet the current and upcoming requirements of large-scale clusters, as well as high end computing environments in general.
Bibliographical Information:


School:The Ohio State University

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:infiniband myrinet quadrics mpi parallel io rdma


Date of Publication:01/01/2006

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