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Recently, CPU and graphics processors have been increasing the degree of on-chip parallelism in order to combat the decrease in traditional Moore's Law scaling. As a result, these new processors are increasing their appetite for faster memory devices with higher bandwidth. Component manufacturers have resorted to disparate or hierarchical fast memory device architectures such as shared local memory...
The I/O bottleneck issue has been acknowledged as one of main performance issues of high performance computing (HPC) systems for data-intensive scientific applications, and has attracted intensive studies in recent years. With the enlarging gap between the computing bandwidth and I/O bandwidth in projected next-generation HPC systems, this issue will become even worse. In this paper, we present a...
Scientific datasets, such as HDF5 and PnetCDF, have been used widely in many scientific applications. These data formats and libraries provide essential support for data analysis in scientific discovery and innovations. In this research, we present an approach to boost data analysis, namely Fast Analysis with Statistical Metadata (FASM), via data sub setting and integrating a small amount of statistics...
High-end computing (HEC) applications in critical areas of science and technology tend to be more and more data intensive. I/O has become a vital performance bottleneck of modern HEC practice. Conventional HEC execution paradigms, however, are computing-centric for computation intensive applications. They are designed to utilize memory and CPU performance and have inherent limitations in addressing...
Parallel I/O prefetching is considered to be effective in improving I/O performance. However, the effectiveness depends on determining patterns among future I/O accesses swiftly and fetching data in time, which is difficult to achieve in general. In this study, we propose an I/O signature-based prefetching strategy. The idea is to use a predetermined I/O signature of an application to guide prefetching...
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