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Parallel applications running across thousands of processors must protect themselves from inevitable system failures. Many applications insulate themselves from failures by checkpointing. For many applications, checkpointing into a shared single file is most convenient. With such an approach, the size of writes are often small and not aligned with file(More)
—The largest-scale high-performance (HPC) systems are stretching parallel file systems to their limits in terms of aggregate bandwidth and numbers of clients. To further sustain the scalability of these file systems, researchers and HPC storage architects are exploring various storage system designs. One proposed storage system design integrates a tier of(More)
1. Intracerebroventricular (i.c.v.) administration of ouabain to rats induces motor hyper- and hypoactivity that have been hypothesized to model the mania and depression of bipolar illness, respectively. 2. The extent of ouabain-induced change in activity may vary according to the test environment. 3. To determine the degree of differential response to(More)
The I/O bottleneck in high-performance computing is becoming worse as application data continues to grow. In this work, we explore how patterns of I/O within these applications can significantly affect the effectiveness of the underlying storage systems and how these same patterns can be utilized to improve many aspects of the I/O stack and mitigate the I/O(More)
In the petascale era, the storage stack used by the extreme scale high performance computing community is fairly homogeneous across sites. On the compute edge of the stack, file system clients or IO forwarding services direct IO over an interconnect network to a relatively small set of IO nodes. These nodes forward the requests over a secondary storage(More)
This paper presents the design and implementation of a new I/O networking infrastructure, named PaScal (parallel and scalable I/O networking framework). PaScal is used to support high data bandwidth IP based global storage systems for large scale Linux clusters. PaScal has several unique properties. It employs (1) Multi-level switch-fabric interconnection(More)
There yet exist no truly parallel file systems. Those that make the claim fall short when it comes to providing adequate concurrent write performance at large scale. This limitation causes large usability headaches in HPC. Users need two major capabilities missing from current parallel file systems. One, they need low latency interac-tivity. Two, they need(More)
Object-based storage technology enables building large-scale and highly-scalable cluster file systems using commodity hardware and software components. On the other hand, a hierarchy of storage subsystems with different costs and performance should be incorporated into such systems to make them affordable and cost-effective. Existing SAN-based (block-based)(More)