RPP: Reference Pattern Based Kernel Prefetching Controller

Autor:	Eunsam Kim, Sam H. Noh, In Hwan Doh, Hyo J. Lee
Rok vydání:	2009
Předmět:	Artificial Intelligence Hardware and Architecture Computer science Control theory Kernel (statistics) Real-time computing Computer Vision and Pattern Recognition Electrical and Electronic Engineering Sequential access Algorithm Software
Zdroj:	IEICE Transactions on Information and Systems. :2512-2515
ISSN:	1745-1361 0916-8532
DOI:	10.1587/transinf.e92.d.2512
Popis:	Conventional kernel prefetching schemes have focused on taking advantage of sequential access patterns that are easy to detect. However, it is observed that, on random and even sequential references, they may cause performance degradation due to inaccurate pattern prediction and overshooting. To address these problems, we propose a novel approach to work with existing kernel prefetching schemes, called Reference Pattern based kernel Prefetching (RPP). The RPP can reduce negative effects of existing schemes by identifying one more reference pattern, i.e., looping, in addition to random and sequential patterns and delaying starting prefetching until patterns are confirmed to be sequential or looping.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0171a4713b79b05859f523cdb2381aac https://doi.org/10.1587/transinf.e92.d.2512 Zobrazit plný text záznamu