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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vishwanath, V. Leigh, J. Sungwon Nam Renambot, L. Shimizu, T. Takahashi, H. Takizawa, M. Kamatani, O. |
| Copyright Year | 2008 |
| Description | Author affiliation: NTT Network Innovation Labs., Yokosuka (Shimizu, T.; Takahashi, H.; Takizawa, M.; Kamatani, O.) || Electron. Visualization Lab., Univ. of Illinois at Chicago, Chicago, IL (Vishwanath, V.; Leigh, J.; Sungwon Nam; Renambot, L.) |
| Abstract | We present a novel rails approach so that future e-Science applications can effectively exploit future system architectures, including multi-core and many-core architectures, multiple network cards, multiple graphical processing units and hybrid hierarchical memory architectures. We define "rail" as the co-scheduling of two or more of these resources. This approach enables creation of parallel multi-rails through every aspect of an end system: from processing on the multi- and many cores, to generation of multiple data flows and streaming over multi-lane network interface card (NIC) connected via a parallel interconnect. We describe a novel open-source multi-rail toolkit and the evaluation of end-system parameters that impact the efficiency of such multi-rail systems, including Interrupt, Memory, Thread and Core Affinities -- key properties for achieving scalable performance. |
| Starting Page | 309 |
| Ending Page | 316 |
| File Size | 1890611 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424433803 |
| DOI | 10.1109/eScience.2008.83 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization High-performance computing Optical computing Application software Middleware Distributed computing Rails Physics computing Computer architecture multi-core computing Computer networks topology-aware resource allocation high-level abstractions High energy physics instrumentation computing |
| Content Type | Text |
| Resource Type | Article |
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