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2024-04-07 22:41:59 +02:00
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</Footnote>
</Footnotes>
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- compute doubles every two years
- energy production grows linearly at 2% per year
- to meet future compute demands
- -> drastic improvements in energy efficiency
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## Introduction
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<br>
#### Roofline model of GPT revisions<sup>1</sup>
- AI workloads become increasingly memory-bound
<br>
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Ivo Bolsens. „Scalable AI Architectures for Edge and Cloud“, 2023.
</Footnote>
</Footnotes>
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- Emerging AI applications become increasingly memory-bound
- Roofline model
- Not limited by compute power but by memory
-> researchers begin to consider processing in memory to circumvent memory bottleneck
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