18 lines
614 B
Markdown
18 lines
614 B
Markdown
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---
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title: Writing a Convolutional Neural Network library with CUDA Support
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draft: true
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---
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"Just use cuBLAS, it'll be easier. You don't have to implement custom CUDA kernels.", they said. Actually, noone said that. I just thought that because I didn't do enough research.
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Why not combine multiple challenging things into 1 (C++, cmake, CUDA, CNN)
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Quickly discovering that without writing custom kernels, you can't really progress
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- cuBLAS column major layout, macro
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- cmake woes (findCUDA)
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- google test
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- padding kernel
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- column major / row major headache
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- removing cuBLAS -> just row major representation
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