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Using Memory Analysis to Create Leaner, Faster, More Reliable Systems
In most embedded systems, memory is a scarce commodity that developers must carefully monitor and optimize. Otherwise, undetected memory leaks can lead to system crashes or undeterministic behavior, sub-optimal memory allocation can degrade performance, excessive memory usage can inflate Bill of Materials costs, and memory errors in untested code can cause failures in the field. Using a practical approach, this paper explores how embedded developers can use memory analysis to monitor, optimize, and debug embedded applications.
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