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As real-time and embedded systems become increasingly large and complex, the traditional strictly static approach to memory management begins to prove ...
Memory management is a major concern when develop- ing real-time and embedded applications. The unpredictabil- ity of memory allocation and deallocation has ...
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Jan 1, 2006 · This paper provides an analysis of memory management approaches in order to characterise the tradeoffs across three semantic domains: space, ...
As real-time and embedded systems become increasingly large and complex, the traditional strictly static approach to memory management begins to prove ...
This paper provides an analysis of memory management approaches in order to characterise the tradeoffs across three semantic domains: space, time and a ...
Early operating systems used to measure the run-time memory usage of a process by adding the length of its code, data, and other segments.
Mar 18, 2024 · We introduce a two-step approach to attain high memory utilization in huge pages. We first introduce a novel machine-learning approach that ...
Much research has been devoted to studies of and algo- rithms for memory management based on garbage col- lection or explicit allocation and deallocation.
For hard real-time applications, tight provable bounds on the application's worst- case execution time must be derivable. Employing dynamic memory ...
Memory management is the process of allocating new objects and removing unused objects to make space for those new object allocations.