A common challenge with calculating an application’s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that is growing with high performance needs such as High Performance Computing (HPC), gaming, or in the current landscape – Large Language Models (LLMs), it is essential to calculate accurately the performance […]
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A common challenge with calculating an application’s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that is growing with high performance needs such as High Performance Computing (HPC), gaming, or in the current landscape – Large Language Models (LLMs), it is essential to calculate accurately the performance
The post Understanding Application Performance with Roofline Modeling appeared first on Towards Data Science. Data Science, Data Visualization, Llm, llm-performance, Roofline Modeling Towards Data ScienceRead More


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