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In the field of high performance computing there is a growing need to process large, complex datasets. Many of these applications are <i>file-intensive</i> workloads, performing a large number of reads from and writes to a small number of files. When executing these workloads on cluster-based systems, performance cannot scale by simply increasing the number(More)
In the area of grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can provide for high performance for data-intensive applications. In order to overcome I/O bottlenecks and to increase I/O parallelism, data streams need to be parallelized at both the(More)
A number of new network storage architectures have emerged recently that provide shared, adaptable and high-performance storage systems for data-intensive applications. Three common storage networking architectures are direct-attached storage (DAS), network-attached storage (NAS), and storage area network (SAN). Efficient implementations of each of these(More)
A sensitive and specific method for the determination of bifendate in human plasma was developed, based on high-performance liquid chromatography (HPLC)-mass spectrometry (MS). The samples were extracted from plasma with diethyl ether, followed by separation and evaporation after addition of internal standard diazepam. The residue was reconstituted in(More)
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