EDIT: I found [1] which describes "tensor cores", "vector/matrix units" and HBM interfaces. The design sounds similar in concept to GPUs. Maybe they don't have or need interpolation hw or other GPU features?
EDIT: I found [1] which describes "tensor cores", "vector/matrix units" and HBM interfaces. The design sounds similar in concept to GPUs. Maybe they don't have or need interpolation hw or other GPU features?
Suspect we will need a gen 3 to get a paper on the gen 2.
Here is the gen 1 paper and highly recommend. Pretty interesting using 65536 very simple cores.
https://supercomputersfordl2017.github.io/Presentations/Imag... http://learningsys.org/nips17/assets/slides/dean-nips17.pdf
For the last version of the TPU, Google provided more detail, e.g., in this paper:
https://arxiv.org/pdf/1704.04760.pdf
Hopefully, Google will publish something similar for TPUv2, but I have no knowledge whether or when that might happen.
Definitely, no need to do any kind of rasterization here.