Sciweavers

Share
MICRO
2010
IEEE

Sampling Dead Block Prediction for Last-Level Caches

10 years 9 months ago
Sampling Dead Block Prediction for Last-Level Caches
Last-level caches (LLCs) are large structures with significant power requirements. They can be quite inefficient. On average, a cache block in a 2MB LRU-managed LLC is dead 86% of the time, i.e., it will not be referenced again before it is evicted. This paper introduces sampling dead block prediction, a technique that samples program counters (PCs) to determine when a cache block is likely to be dead. Rather than learning from accesses and evictions from every set in the cache, a sampling predictor keeps track of a small number of sets using partial tags. Sampling allows the predictor to use far less state than previous predictors to make predictions with superior accuracy. Dead block prediction can be used to drive a dead block replacement and bypass optimization. A sampling predictor can
Samira Manabi Khan, Yingying Tian, Daniel A. Jimen
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where MICRO
Authors Samira Manabi Khan, Yingying Tian, Daniel A. Jimenez
Comments (0)
books