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Analyzing Modern Nvidia GPU Cores

178 pointsby mfiguiere16 days ago

5 comments

winwang16 days ago
I hope this can help shed the misconception that GPUs are only good at linear algebra and FP arithmetic, which I&#x27;ve been hearing a whole lot!<p>Edit: learned a bunch, but the &quot;uniform&quot; registers and 64-bit (memory) performance are some easy standouts.
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kookamamie16 days ago
&gt; NVIDIA RTX A6000<p>Unfortunately that&#x27;s already behind the latest GPU by two generations. You&#x27;d have these after A6000: 6000 Ada, Pro 6000.
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nabla916 days ago
&gt;Overall, we can conclude that GPUs are hardware-compiler codesign where the compiler guides the hardware in handling dependencies and introduces hints that can improve performance and energy.<p>New architectures rely on the compiler to handle register data dependencies, and controlling register file cache allocation policy.
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gmays16 days ago
The special sauce:<p>&gt; &quot;GPUs leverage hardware-compiler techniques where the compiler guides hardware during execution.&quot;
gitroom16 days ago
Haha honestly I always thought GPUs were mostly number crunchers, but there&#x27;s way more under the hood than I realized. Wondering now if anyone really gets the full potential of these cores, or if we&#x27;re all just scratching the surface most days?
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