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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xian-He Sun Byna, S. Yong Chen |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL (Xian-He Sun; Byna, S.; Yong Chen) |
| Abstract | Data prefetching, where data is fetched before CPU demands for it, has been considered as an effective solution to mask data access latency. However, the current client-initiated prefetching strategies do not work well for applications with complex, non-contiguous data access patterns. While technology advances continue to enlarge the gap between computing and data access performance, trading computing power for data access delay has become a natural choice. We propose a server-based data-push approach. In this server-push architecture, a dedicated server named data push server (DPS) initiates and proactively pushes data closer to the client in time. We present the DPS architecture and study the issues such as what data to fetch, when to fetch, how to push, and data access modeling. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 137333 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424409098 |
| DOI | 10.1109/IPDPS.2007.370511 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-03-26 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Prefetching Prediction algorithms Computer architecture Delay History Yarn Sun Multicore processing Iron Computer science |
| Content Type | Text |
| Resource Type | Article |
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