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@@ -18,6 +18,14 @@
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</Footnote>
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</Footnotes>
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<!--
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- compute doubles every two years
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- energy production grows linearly at 2% per year
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- to meet future compute demands
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- -> drastic improvements in energy efficiency
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-->
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---
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## Introduction
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@@ -26,7 +34,7 @@
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<br>
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#### Roofline model of GPT revisions<sup>1</sup>
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- AI workloads become increasingly memory-bound
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<br>
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@@ -39,3 +47,10 @@
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Ivo Bolsens. „Scalable AI Architectures for Edge and Cloud“, 2023.
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</Footnote>
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</Footnotes>
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<!--
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- Emerging AI applications become increasingly memory-bound
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- Roofline model
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- Not limited by compute power but by memory
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-> researchers begin to consider processing in memory to circumvent memory bottleneck
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-->
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