Downloads provided by UsageCounts
doi: 10.1109/tc.2013.182
handle: 10261/132425
© 2013 IEEE. The increasing performance demand in the critical real-time embedded systems (CRTES) domain calls for high-performance features such as cache memories. Unfortunately, the cost to provide trustworthy and tight Worst-Case Execution Time (WCET) estimates in the presence of caches is high with current practice WCET analysis tools, because they need detailed knowledge of program's cache accesses to provide tight WCET estimates. The advent of Probabilistic timing analysis (PTA) opens the door to economically viable timing analysis in the presence of caches, but it imposes new requirements on hardware design. At cache level, so far only fully associative random-replacement caches have been proven to fulfill the needs of PTA, but their energy, delay, and area cost are unaffordable for CRTES. In this paper, we propose the first PTA-compliant cache design based on set-associative and direct-mapped arrangements, as those are the most common arrangements. In particular, we propose a novel parametric random placement policy suitable for PTA that is proven to have low hardware complexity and energy consumption while providing comparable performance to that of conventional modulo placement.
Peer Reviewed
Buffer storage, Worst-case analysis, Cache memories
Buffer storage, Worst-case analysis, Cache memories
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 34 | |
| downloads | 29 |

Views provided by UsageCounts
Downloads provided by UsageCounts