Abstract
In this paper, we present a high performance cache structure with a hardware prefetching mechanism that enhances exploitation of spatial and temporal locality. The proposed cache, which we call a Selective-Mode Intelligent (SMI) cache, consists of three parts: a direct-mapped cache with a small block size, a fully associative spatial buffer with a large block size, and a hardware prefetching unit. Temporal locality is exploited by selectively moving small blocks into the direct-mapped cache after monitoring their activity in the spatial buffer for a time period. Spatial locality is enhanced by intelligently prefetching a neighboring block when a spatial buffer hit occurs. The overhead of this prefetching operation is shown to be negligible. We also show that the prefetch operation is highly accurate: Over 90 percent of all prefetches generated are for blocks that are subsequently accessed. Our results show that the system enables the cache size to be reduced by a factor of four to eight relative to a conventional direct-mapped cache while maintaining similar performance. Also, the SMI cache can reduce the miss ratio by around 20 percent and the average memory access time by 10 percent, compared with a victim-buffer cache configuration.
Original language | English |
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Pages (from-to) | 607-616 |
Number of pages | 10 |
Journal | IEEE Transactions on Computers |
Volume | 52 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2003 May |
Bibliographical note
Funding Information:This research was partly supported by System LSI Business of Samsung Electronics Co., Ltd. Korea, and partially by the US National Science Foundation ITR grant CCR-0085792, DARPA grant 5-21425, and US National Science Foundation grant ACI-9982028.
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Hardware and Architecture
- Computational Theory and Mathematics