(gimletlabs.ai)

186 points nserrino | 1 comments | 03 Sep 25 17:03 UTC | HN request time: 0.244s | source

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> non 100% correctness of kernels

wouldn't model not work properly if kernels are even slightly off?

wasn't kernels a part of training stack for models? am I missing anything?

ymsodev ◴[03 Sep 25 19:56 UTC] No.45119795[source]▶

The article is referring to GPU compute kernel (https://en.wikipedia.org/wiki/Compute_kernel), not the term kernel used in ML/NN/etc.

replies(1): >>45124876 #

saagarjha ◴[04 Sep 25 08:09 UTC] No.45124876[source]▶

…aren't they the same thing

replies(1): >>45143386 #

1. ymsodev ◴[05 Sep 25 20:45 UTC] No.45143386[source]▶

They're not, but I also misunderstood the original question, they're referring to the correct definition of kernel. I thought they were confusing the GPU kernel with https://en.wikipedia.org/wiki/Kernel_method or https://en.wikipedia.org/wiki/Kernel_(image_processing)

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