Name
Abstract | ||
|---|---|---|
This paper presents an analytical method to derive the worst-case traffic pattern caused by a task graph mapped to a cache-coherent shared-memory system. Our analysis allows designers to rapidly evaluate the impact of different mappings of tasks to IP cores on the traffic pattern. The accuracy varies with the application's data sharing pattern, and is around 65% in the average case and 1% in the best case when considering the traffic pattern as a whole. For individual connections, our method produces tight worst-case bandwidths. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.micpro.2011.06.007 | Microprocessors and Microsystems - Embedded Hardware Design |
Keywords | Field | DocType |
individual connection,traffic pattern,ip core,best case,cache-coherent shared-memory system,worst-case bandwidths,analytical derivation,different mapping,average case,worst-case traffic pattern,analytical method,cache coherence | Graph,Airfield traffic pattern,Shared memory,Cache,Computer science,Data sharing,Parallel computing,Real-time computing,Distributed computing | Journal |
Volume | Issue | ISSN |
35 | 7 | 0141-9331 |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias B. Stuart | 1 | 6 | 1.00 |
| Jens Sparsø | 2 | 453 | 52.97 |