Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Visibility-Based Prefetching for Interactive Out-Of-Core Rendering
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
Semantically-Smart Disk Systems
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
A hierarchical model of data locality
Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Using prefetching to improve walkthrough latency: Research Articles
Computer Animation and Virtual Worlds - CASA 2006
Fine granularity clustering-based placement
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A fast hierarchical quadratic placement algorithm
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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On-disk sequentiality of requested data, or their spatial locality, is critical to disk performance. Unfornately, spatial locality of cached data is largely ignored, and only temporal locality is considered in current system buffer cache managments. Besides, an individual object might induce different relations in different applications. A novel hypergraph scheme was proposed to represent the complex relations among the objects. Instead of a local measure that depends only on common objects among patterns, we propose a global measure that is based on the semantic properties of these patterns in the overall data set. The experiments show the effectiveness of the proposed framework.