Name
Abstract | ||
|---|---|---|
The complexity of embedded systems presents key challenges for in-situ monitoring and analysis of complex hardware and software interactions. System-level observation methods have enabled nonintrusive runtime methods for monitoring this complex behavior across hardware and software boundaries and for deeply embedded components. Previous system-level observation methods utilized an efficient pipelined hardware architecture to ensure events are reported in-order based on the event occurrence. While providing high throughput for reporting events, this approach requires significant area resources. In this paper, we present an area-efficient event stream ordering technique that significantly reduces area requirements with tradeoff in event stream throughput. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2593069.2593093 | DAC |
Keywords | Field | DocType |
runtime observability,event stream throughput,algorithms,pipelined hardware architecture,design,system observability,system-level observation methods,embedded components,parallel architectures,area requirements,hardware boundaries,verification,in-situ system monitoring,complex behavior monitoring,nonintrusive runtime methods,runtime testing,hardware-software codesign,software boundaries,complex hardware-software interactions,embedded systems,embedded systems complexity,event occurrence,testing and debugging,performance,in-situ monitoring,formal specification,system monitoring,area-efficient event stream ordering technique,pipeline processing | Observability,Event stream,Computer science,Real-time computing,Software,Throughput,Embedded system,Hardware architecture | Conference |
ISSN | Citations | PageRank |
0738-100X | 0 | 0.34 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jong Chul Lee | 1 | 13 | 3.18 |
| Roman Lysecky | 2 | 605 | 60.43 |