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File layout of array data is a critical factor that effects the behavior of storage caches, and has so far taken not much attention in the context of hierarchical storage systems. The main contribution of this paper is a compiler-driven file layout optimization scheme for hierarchical storage caches. This approach, fully automated within an optimizing compiler, analyzes a multi-threaded application...
Data-intensive applications fall into two computing styles: Internet services (cloud computing) or high-performance computing (HPC). In both categories, the underlying file system is a key component for scalable application performance. In this paper, we explore the similarities and differences between PVFS, a parallel file system used in HPC at large scale, and HDFS, the primary storage system used...
Disk subsystem is known to be a major contributor to the overall power budget of large-scale parallel systems. Most scientific applications today rely heavily on disk I/O for out-of-core computations, checkpointing, and visualization of data. To reduce excess energy consumption on disk system, prior studies proposed several hardware or OS-based disk power management schemes. While such schemes have...
Power consumption of disk systems is an important issue in scientific computing where data-intensive applications exercise disk storage extensively. While one can spin down idle disks when idleness is detected, spinning up them takes many cycles and consumes extra power. Therefore, it can be very useful in practice to improve disk reuse, that is, using the same set of disks as much as possible. If...
Disk subsystem is known to be a major contributor to overall power consumption of high-end parallel systems. Past research proposed several architectural-level techniques to reduce disk power by taking advantage of idle periods experienced by disks. Although such techniques have been known to be effective in certain cases, they share a common drawback: they operate in a reactive manner, i.e., they...
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