durst

3 ms·

1.
by durst 5y ago
I don't think this is entirely true. (Although please let me know if I misunderstood your comment or if I'm wrong.) While it is true that CPUs' power usage increased significantly between the 1980s and 2006, I believe you wer
2.
by durst 5y ago
Thank you for the tips! Whenever I hear about new accelerators, my first question is: "how do people in the real world run fast code on this"? Because (related to your above points), you don't use an accelerator for things to
3.
by durst 5y ago
Do you have a longer writeup on your experience performance tuning for the TPU? Is https://cloud.google.com/tpu/docs/performance-guide the best resource in this area?
4.
by durst 5y ago
The article states that the programming model is TensorFlow or PyTorch. However, I'm not clear on the details of customizing TensorFlow or PyTorch code to run efficiently on this chip.
5.
by durst 5y ago
Does anyone here have firsthand experience using the compiler? Can you give a rough approximation of performance tuning with the compiler compared to performance tuning with compilers targeting the tensor cores on an A100 or a TPU?
6.
by durst 6y ago
The closest I came to an SGI machine was an N64, so I would be interested in hearing the stories. What did consolidating the SGI boards get you? Didn't that cause thermal issues? Are Presidio and "the death star" you referenc
7.
by durst 6y ago
Very cool! Did others in the company appreciate the benefits of repairable hardware? Also, $50,000 sounds like a lot of money. Was that price considered giving it away?
8.
How Fast Is My FPGA Design? Types Will Tell Me!(davidbdurst.com)
9 points by durst 6y ago|0 comments