Name
Abstract | ||
|---|---|---|
Hardware-assisted watchpoint systems enhance the execution of numerous dynamic software techniques, such as memory protection, module isolation, deterministic execution, and data race detection. In this paper, we show that previous hardware proposals may introduce significant energy overheads, and propose WatchPoint Filtering (WPF), a novel filtering mechanism that eliminates unnecessary watchpoint checks. We evaluate WPF on two state-of-the-art proposals for hardware-assisted watchpoints using two common memory checkers. WPF eliminates 83% of the watchpoint checks (up to 99.7%) and reduces 57% of the dynamic energy overhead (up to 78%) on average, without introducing additional performance execution overhead. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2463209.2488800 | DAC |
Keywords | Field | DocType |
hardware-assisted watchpoint system,dynamic energy overhead,unnecessary watchpoint check,memory protection,watchpoint check,additional performance execution overhead,numerous dynamic software technique,deterministic execution,significant energy overhead,common memory checker,energy efficiency,tlb,optimization,filtering | Memory protection,Computer science,Real-time computing,Software,Dynamic energy,Computer hardware,Overhead (business),Efficient energy use,Filter (signal processing),Filtering theory,Translation lookaside buffer,Operating system,Embedded system | Conference |
ISSN | Citations | PageRank |
0738-100X | 0 | 0.34 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vasileios Karakostas | 1 | 53 | 6.33 |
| Sasa Tomic | 2 | 8 | 3.24 |
| Osman Unsal | 3 | 164 | 14.33 |
| Mario Nemirovsky | 4 | 286 | 36.40 |
| Adrián Cristal | 5 | 424 | 40.74 |