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Hi folks, this is part of of larger effort in the Julia community to do a ground up re-think of infrastructure for machine learning. You can find an overview of
by KenoFischer 8y ago
Hi folks, this is part of of larger effort in the Julia community to do a ground up re-think of infrastructure for machine learning. You can find an overview of the entire effort in our recent blog post [1]. Happy to answer questions.
[1] https://julialang.org/blog/2018/12/ml-language-compiler https://julialang.org/blog/2018/12/ml-language-compiler
- chrispeel 8y agoAs I recall, after the publication of [1] on Julia+TPUs there was some talk about doing a comparison of some ML models on the CPU, GPU, and TPU. Is this something you're working on? [1] https://arxiv.org/pdf/1810.09868.pdf https://arxiv.org/pdf/1810.09868.pdf
- KenoFischer 8y agoWe have these numbers now and the results are quite encouraging (basically on par with tuned tensorflow for the same model, while retaining significant flexibility). At the moment, we're working with Google on stability and waiting for a new public release of the tpu software stack to enable multicore support for non-TF frontends.