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Showing 1 to 12 of 12 for “"parallel file systems"”.

  1. Measurement-Based Characterization of Parallel I/O Systems

    … the issue of evaluating the performance of parallel I/O subsystems for a variety of I/O intensive workloads on massively parallel systems. First, a model-based workload specification methodology for generating parallel I/O intensive workloads is described. Second, a synthetic workload …

    uiuc Repository record for Measurement-Based Characterization of Parallel I/O Systems (opens in a new tab)

  2. Towards Automatic Load Balancing of a Parallel File System with Subfile Based Migration

    … Computing has to be addressed as well. Often parallel file systems like Lustre, GPFS, or PVFS2 are deployed to meet the needs of a fast I/O infrastructure. This thesis evaluates the impact of unbalanced workloads in such parallel file systems exemplarily on PVFS2 and extends the environment to …

    heid-thes Repository record for Towards Automatic Load Balancing of a Parallel File System with Subfile Based Migration (opens in a new tab)

  3. Detecting and understanding crash-consistency bugs across the parallel I/O stack

    Parallel file systems (PFS’es) and parallel I/O libraries have been the backbone of high- performance computing (HPC) infrastructures for decades. However, their crash consistency bugs have not been extensively studied, and bug-finding or testing tools for identifying them are lacking. In this …

    uiuc Repository record for Detecting and understanding crash-consistency bugs across the parallel I/O stack (opens in a new tab)

  4. Remote High Performance Visualization of Big Data for Immersive Science

    … benefits in scaling to larger data sizes, from parallel file systems to larger RAM profiles to parallel computation among many CPUs and GPUs. For scalable data visualization, remote visualization tools and infrastructure is critical where only pixels and interaction events are sent over the …

    vt Repository record for Remote High Performance Visualization of Big Data for Immersive Science (opens in a new tab)

  5. I/O Throughput Prediction for HPC Applications Using Darshan Logs

    … Despite having large-scale, high-performance parallel file systems, many applications still suffer from poor I/O performance. Although existing system monitoring tools gather performance statistics, it can be challenging to interpret multidimensional data, thereby distinguishing normal …

    unr Repository record for I/O Throughput Prediction for HPC Applications Using Darshan Logs (opens in a new tab)

  6. An Application-Attuned Framework for Optimizing HPC Storage Systems

    … the increased pressure on the underlying storage systems from big data processing. Extant HPC storage systems are designed and tuned for a specific set of applications targeting a range of workload characteristics, but they lack the flexibility in adapting to the ever-changing application …

    vt Repository record for An Application-Attuned Framework for Optimizing HPC Storage Systems (opens in a new tab)

  7. On the Use of Containers in High Performance Computing

    … how containers interact with the HPC storage systems. We present the design of an analysis framework that is deployed on all nodes in an HPC environment, and captures aspects such as CPU, memory, network, and file I/O statistics from the nodes and the storage system. We are able to garner key …

    vt Repository record for On the Use of Containers in High Performance Computing (opens in a new tab)

  8. Coherencia de Cache en Sistemas de Ficheros para Entornos Distribuidos y Paralelos

    … in processors, memories and communication subsystems, has led the I/O subsystems to become a bottleneck in many computer systems. This problem, defined as the I/O crisis, has been mainly addressed using parallelism and caching in the I/O subsystem. Caching improves I/O performance, both for …

    upm Repository record for Coherencia de Cache en Sistemas de Ficheros para Entornos Distribuidos y Paralelos (opens in a new tab)

  9. Rethinking the design and implementation of the i/o software stack for high-performance computing

    … a widely used storage medium in high-end storage systems. </p> <p>In this dissertation, we experimentally demonstrated such issues in four different layers, including operating system process management layer and MPI-IO middleware layer on compute server side, and parallel file system layer and …

    wayne-thes Repository record for Rethinking the design and implementation of the i/o software stack for high-performance computing (opens in a new tab)

  10. Scalable Data Management for Object-based Storage Systems

    Parallel I/O performance is crucial to sustain scientific applications on large-scale High-Performance Computing (HPC) systems. Large scale distributed storage systems, in particular the object-based storage systems, face severe challenges for managing the data efficiently. Inefficient data …

    vt Repository record for Scalable Data Management for Object-based Storage Systems (opens in a new tab)