AymanB

6 ms·

1.
by AymanB 2mo ago
I believe you could use some sort of GPU-direct (or BAM-like approach, see https://dl.acm.org/doi/10.1145/3575693.3575748 ) to stream weights on-demand from the GPU.
2.
by AymanB 5mo ago
Thanks for the blog, I really enjoyed it. Good work. This just makes me appreciate and love compilers even more, they are a fascinating piece of software.
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by AymanB 2y ago
Hello, it is the same idea as tinygrad and apache tvm but in common lisp. So yes, you could call it a lisp ml framework.
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by AymanB 2y ago
Hello! Thanks for your question. First of all, there are three layers of abstraction within Caten: 1. caten/apis | High-Level Graph Interface 2. caten/air | Low-Level Graph Interface 3. caten/codegen | AIR Graph => Ker
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From Unemployment to Lisp: Running GPT-2 on a Teen's Deep Learning Compiler(github.com)
116 points by AymanB 2y ago|6 comments
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by AymanB 2y ago
A couple months ago I found myself unemployed, uncertain about what to do next. I wanted to learn more about deep learning, but from a systems prespective. Coming from Andrew's Ng course on supervised learning, I was eager to learn mor
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by AymanB 2y ago
If someone wants an idea, something like this for ds/algorithms would do wonders
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by AymanB 2y ago
I was wondering, any way to use it with distributed systems for data analytics? Imagine a set of workers that ingest data in parallel, would that work? Currently it's pretty simple and i am spawning a process within the worker so it re
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by AymanB 3y ago
This is really interesting
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by AymanB 3y ago
I asked myself the same question a couple times, but never thought of make an app out of it. Well done!