As Linux clusters have matured as platforms for low-cost, high-performance parallel computing, software packages to provide many key services have emerged, especially in areas such as message passing and networking. One area devoid of support, however, has been parallel file systems, which

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Most current multiprocessor le systems are designed to use multiple disks in parallel, using the high aggregate bandwidth to meet the growing I/O requirements of parallel scienti c applications. Many multiprocessor le systems provide applications with a conventional Unix-like interface, allowing

Many parallel scientific applications need high-performance I/O. Unfortunately, end-to-end parallel-I/O performance has not been able to keep up with substantial improvements in parallel-I/O hardware because of poor parallel file-system software. Many radical changes, both at the interface level

As the I/O needs of parallel scientific applications increase, file systems for multiprocessors are being designed to provide applications with parallel access to multiple disks. Many parallel file systems present applications with a conventional Unix-like interface that allows the application

This article describes an implementation of MPI-IO us-ing a new parallel file system, called Expand (Expand-able Parallel File System), which is based on NFS servers. Expand combines multiple NFS servers to create a distrib-uted partition where files are striped. Expand requires no changes

To demonstrate the flexibility of the Galley parallel file system and to analyze the efficiency and flexibility of the Vesta parallel file system interface, we implemented Vesta’s applicationprogramming interface on top of Galley. We implemented the Vesta interface using Galley’s file

On evaluating decentralized parallel I/O scheduling

The undersigned hereby certify that they have read and recommend to the Faculty of Graduate Studies for acceptance a thesis entitled

The success of a CDI Grid is dependent upon the design of its storage infrastructure. As seen in Chapter 7, processing in this environment revolves around the simultaneous movement and transformation of data on many compute elements. Effective storage solutions combine hardware and software to meet these needs.