In the world of high-performance computing, it is important to understand how your code affects the operating characteristics of your HW. For example, if your program executes inefficient code, it may cause the GPU to work harder than it needs to, leading to higher power consumption, and a potential slow-down due to throttling. A new profiling feature in CUDA 5.5 allows you to profile the��
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