A memory access detection methodology for accurate workload characterization

Marco Cesati, Renato Mancuso, Emiliano Betti, Marco Caccamo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tools for memory access detection are widely used, playing an important role especially in real-time systems. For example, on multi-core platforms, the problem of co-scheduling CPU and memory resources with hard real-time constraints requires a deep understanding of the memory access patterns of the deployed taskset. While code execution flow can be analyzed by considering the control-flow graph and reasoning in terms of basic blocks, a similar approach cannot apply to data accesses. In this paper, we propose MadT, a tool that uses a novel mechanism to perform memory access detection of general purpose applications. MadT does not perform binary instrumentation and always executes application code natively on the platform. Hence it can operate entirely in user-space without sand-boxing the task under analysis. Furthermore, MadT provides detailed symbolic information about the accessed memory structures, so it is able to translate the virtual addresses to their original symbolic variable names. Finally, it requires no modifications to application source code. The proposed methodology relies on existing OS-level capabilities. In this paper, we describe how MadT has been implemented on commercial hardware and compare its performance with state-of-the-art software techniques for memory access detection.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2015
EditorsLisa O'Conner
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-148
Number of pages8
ISBN (Electronic)9781467378550
DOIs
StatePublished - 2015
EventIEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2015 - Hong Kong, China
Duration: Aug 19 2015Aug 21 2015

Publication series

NameProceedings - IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2015

Other

OtherIEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2015
Country/TerritoryChina
CityHong Kong
Period8/19/158/21/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A memory access detection methodology for accurate workload characterization'. Together they form a unique fingerprint.

Cite this