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High performance computing (HPC) applications are becoming more data-intensive and produce increasingly large I/O demands on storage systems. New storage devices such as SSD which has nearly no seek latency and high throughput have been widely used together with HDD to serve as a hybrid storage system. To solve the I/O bottleneck problem, existing hybrid storage solutions such as Burst Buffer have...
The increasingly important data-intensive scientific discovery presents a critical question to the high performance computing (HPC) community - how to efficiently support these growing scientific big data applications with HPC systems that are traditionally designed for big compute applications? The conventional HPC systems are computing-centric and designed for computation-intensive applications...
Recent system on chip (SoC) techniques have permitted the continued scaling of core densities at a rate sufficient to track Moore's Law. However, this continued increase in transistor density has warranted new hardware features in order to sufficiently scale the degree of on-chip concurrency. Features such as complex multi-level caches, hierarchical core configurations and hardware-assisted threading...
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...
Active storage provides an effective method to mitigate the I/O bottleneck problem of data intensive high performance computing applications. It can reduce the amount of data transferred as the application runs by moving appropriate computations close to the data. Prior research has achieved considerable progress in developing several active storage prototypes. However, existing studies have neglected...
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