GPU performance metrics need closer examination.
Utilization rates of GPUs are often considered the primary indicator of their performance. However, this parameter alone may not fully capture a GPU’s efficiency. Greater insights are achieved by examining additional metrics such as Model FLOPS utilization and SM efficiency. These measures can more accurately reflect how well a GPU carries out tasks. To optimize GPU operations, techniques like layer fusion and implementation of hardware-friendly practices are essential. A comprehensive assessment that includes both SM efficiency and GPU utilization rates is advised for a true understanding of a GPU’s capability.
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