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Showing 1 to 7 of 7 for “"compute cluster"”.

  1. Parallelisation of greedy algorithms for compressive sensing reconstruction

    … consuming a great deal of memory as well as compute time. Parallel computing is the foundation of the field of High Performance Computing (HPC). Modern supercomputers are generally composed of large clusters of standard servers, with a dedicated low-latency high-bandwidth interconnect …

    cambridge Repository record for Parallelisation of greedy algorithms for compressive sensing reconstruction (opens in a new tab)

  2. A fault tolerant grid generation technique

    … computational capabilities in large scale supercomputers. Unfortunately, as compute clusters grow in size, they also suffer more failures. Left unchecked, the increased frequency of failures may stymie any efforts to fully utilize these machines. This work aims to tackle one component required …

    utc Repository record for A fault tolerant grid generation technique (opens in a new tab)

  3. Predicting Hard Drive Failures in Computer Clusters

    Mitigating the impact of computer failure is possible if accurate failure predictions are provided. Resources, and services can be scheduled around predicted failure and limit the impact. Such strategies are especially important for multi-computer systems, such as compute clusters, that experience …

    wfu Repository record for Predicting Hard Drive Failures in Computer Clusters (opens in a new tab)

  4. Distributed Intelligence for Multi-Agent Systems in Search and Rescue

    … approach to SAR and introduce a wearable compute cluster in the form factor of a backpack. The backpack allows offloading compute intensive tasks such as Lost Person Behavior Modelling, Path Planning and Deep Neural Network based computer vision applications away from the UAVs and offers …

    vt Repository record for Distributed Intelligence for Multi-Agent Systems in Search and Rescue (opens in a new tab)

  5. Large-scale storage, analysis and integration of metabolomics data

    … of these processing jobs to the nodes of the compute cluster where they are parallelized. Every node in the cluster downloads an experiment from the object storage, where it was previously uploaded, and processes it with a KNIME workflow. The results from the processing of every experiment are …

    bielefeld Repository record for Large-scale storage, analysis and integration of metabolomics data (opens in a new tab)

  6. Experimental Design and Comparative Testing of a Hybrid-Cooled Computer Cluster

    With water cooling becoming an affordable option both at home and at scale, it is important to consider the possible benefits over air cooling. There are several methods of liquid cooling, notables include: immersion, cold water cooling, and warm water cooling. The total cost of ownership is …

    unm Repository record for Experimental Design and Comparative Testing of a Hybrid-Cooled Computer Cluster (opens in a new tab)

  7. Large Scale Online Aggregation Via Distributed Systems

    … that parallelizes computations across a compute cluster. However, due to the sheer volume of data, MapReduce is sometimes still not fast enough to perform complicated analysis. In this thesis, I address this problem by developing a statistical estimation framework on top of MapReduce to …

    rice Repository record for Large Scale Online Aggregation Via Distributed Systems (opens in a new tab)