Understanding the Memory Consumption of the MiBench Embedded Benchmark
Overview & Synopsis
Complex embedded systems today commonly involve a mix of real-time and best-effort applications. The recent emergence of small low-cost commodity multi-core processors raises the possibility of running both kinds of applications on a single machine, with virtualization ensuring that the best-effort applications cannot steal CPU cycles from the real-time applications. Nevertheless, memory contention can introduce other sources of delay, that can lead to missed deadlines. In this paper, we analyze the sources of memory consumption for the real-time applications found in the MiBench embedded benchmark suite.
Indexed from repository: HAL Open Science
(
hal.science)
Keyboard Shortcuts:
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | Understanding the Memory Consumption of the MiBench Embedded Benchmark |
|---|---|
| Author / Organization | Antoine Blin, Cédric Courtaud, Julien Sopena, Julia Lawall, Gilles Muller |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2016 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-109783 |
| Original Source Link | Visit Source Page on hal.science » |