Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Multi-core processors have penetrated the modern computing platforms in several dimensions. Such systems aim to achieve high-performance via running computations in parallel. Hover, the performance of such systems is often limited due to the congestion in shared resources, such as shared caches and shared buses. ,  propose MESS, a performance debugging framework for embedded, multi-core systems. MESS systematically discovers the order of memory-access operations that expose performance bugs due to shared caches.  leverage both on single-core performance profiling and symbolic constraint solving to reveal the interleaved memory-access-pattern that leads to a performance bug. Our baseline framework does not generate any false positive. Besides, its failure to find a solution highlights the absence of performance bugs due to shared caches, for a given input. Finally,  propose an approximate solution that dramatically reduces debugging time, at the cost of a reasonable amount of false positives. Our experiments with several embedded software and a real-life robot controller suggest that  can discover performance bugs in a reasonable time. The implementation of MESS and our experiments are available at https://bitbucket.org/sudiptac/mess.
['Sudipta Chattopadhyay']
I am writing a research paper on a idea MESS: Memory Performance Debugging on Embedded Multi-core Systems
[{"from": "human", "value": "I am writing a research paper on a idea MESS: Memory Performance Debugging on Embedded Multi-core Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Multi-core processors have penetrated the modern computing platforms in several dimensions. Such systems aim to achieve high-performance via running computations in parallel. Hover, the performance of such systems is often limited due to the congestion in shared resources, such as shared caches and shared buses. ,  propose MESS, a performance debugging framework for embedded, multi-core systems. MESS systematically discovers the order of memory-access operations that expose performance bugs due to shared caches.  leverage both on single-core performance profiling and symbolic constraint solving to reveal the interleaved memory-access-pattern that leads to a performance bug. Our baseline framework does not generate any false positive. Besides, its failure to find a solution highlights the absence of performance bugs due to shared caches, for a given input. Finally,  propose an approximate solution that dramatically reduces debugging time, at the cost of a reasonable amount of false positives. Our experiments with several embedded software and a real-life robot controller suggest that  can discover performance bugs in a reasonable time. The implementation of MESS and our experiments are available at https://bitbucket.org/sudiptac/mess."}]