Reliable General Purpose Dynamic Memory Management for Real

Date
1994-07-14
Authors
Gao, Hong
Nilsen, Kelvin
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Computer Science
Organizational Unit
Journal Issue
Series
Department
Computer Science
Abstract

Traditional dynamic memory management techniques for imperative programming languages are unsuitable for reliable real-time applications because their worst-case time and space requirements are insufficiently bounded. This is demonstrated by detailed measurements of several real-world workloads. A special hardware-assisted real-time garbage collection system has been designed to facilitate reliable use of dynamic memory in hard real-time systems. By analyzing the dynamic memory use of application software, the real-time developer can prove compliance with time and space constraints. Analysis techniques are presented and the real-time performance of the hardware-assisted garbage collection system is compared to that of traditional allocators.

Comments
Description
Keywords
Citation
DOI
Source
Collections