Gao, Hong and Nilsen, Kelvin (1994) Reliable General Purpose Dynamic Memory Management for Real. Technical Report TR94-09, Department of Computer Science, Iowa State University.
Reliable General Purpose Dynamic Memory Management for Real-Time Systems
Kelvin D. Nilsen
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.
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