borramakot

9 ms·

31.
by borramakot 7y ago
> Adding up all the inaccurate redness ratings—“gray,” “pretty gray,” “whitish gray,” “muddy brown,” and so on—and averaging them leads us further away both from learning anything reliable about the individuals’ personal experiences of t
32.
by borramakot 7y ago
Yeah, there was certainly a discontinuity when it went from "turn the tree into code" and "turn it into code in a faster language" to "build a virtual machine with random opcodes". I think it's just the no
33.
by borramakot 7y ago
How does a data provider prevent someone from copying the data from their S3 bucket into a new one, then cancelling the subscription and owning the data forever?
34.
by borramakot 7y ago
I get the sense that those numbers might include the value of stock increasing, but that's the only site that's had numbers within 10% of the offers I actually got after negotiation.
35.
by borramakot 7y ago
Reportedly, it's an insanely large (whole wafer) single chip. But, then, why is it listed with a size that's not commensurate with that?
36.
by borramakot 7y ago
Is that for S3, or EBS?
37.
by borramakot 7y ago
I like the idea of multiple tracks a lot, but I think you need to be hiring at sufficient scale that each track has a fairly high rate of interviews, which makes it hard to support tracks that aren't commonly chosen. If you don't
38.
by borramakot 8y ago
It wasn't literally a ban, but it was at least a serious impediment to their operating in the way they want to operate. The TX legislature overturned Austin's regulations with superseding, much more Uber/Lyft friendly regulat
39.
by borramakot 8y ago
Strangely, the announcement that AWS is making their own machine learning inference chip got flagged and removed. https://aws.amazon.com/machine-learning/inferentia/
40.
by borramakot 8y ago
That seems reasonable, but the compensation ranges I've been seeing aren't 0.9-1.1 x a reference salary, they seem to range from 0.3x (crappy consulting) -3x (HFT) the compensation of a mid-range FAANG position. With that kind of
41.
by borramakot 8y ago
Is there a way to do nonlinearity (ReLU) in the Winograd domain?
42.
by borramakot 8y ago
I spent a little bit of time trying to understand exactly what DeePhi provides, but couldn't find any whitepapers or anything. Do you know any documentation on which of these approximations are supported by DeePhi?
43.
by borramakot 8y ago
There is a principle on development: Hire and Develop the Best Leaders raise the performance bar with every hire and promotion. They recognize exceptional talent, and willingly move them throughout the organization. Leaders develop leaders
44.
by borramakot 9y ago
This seems strictly better than the price/1000 calls, since at least you only have to predict the order of magnitude of usage.
45.
by borramakot 9y ago
It doesn't sound like they meant that senior was the last possible level, just the last level to which promotion in a career should be expected through "normal" growth and development. It looks like less than 1-2% of engineer
46.
by borramakot 9y ago
What are the Amazon rumors?
47.
by borramakot 9y ago
Back of the envelope, a TPU costs a little more than 2x as much as a Volta on AWS P3, and delivers a little less than 2x the performance (180 TOPs for the TPU, 100 for Volta). On a raw performance/$ metric, I'm not sure the TPU is
48.
by borramakot 9y ago
That's Catapult, right? I have read through some of their papers. It sounds like they might be offloading some network work onto the FPGAs in the same way AWS has their custom nitro card, but I've not really been impressed with th
49.
by borramakot 9y ago
F1's on AWS are I think ultrascale+, though I don't know how fast Amazon actually lets you drive them.
50.
by borramakot 9y ago
I see the appeal here, but I'm surprised a good DSP or mid-volume, old node ASIC isn't the more common solution here. Do these need such specialized processing that FPGAs make economic sense?
51.
by borramakot 9y ago
Thanks for these! The first paper is actually one I've spent a significant amount of time trying to use, to the point of collaborating with one of the authors. His conclusion was that FPGAs used to be competitive with GPUs for approxim
52.
by borramakot 9y ago
These all seem fair- I've been mostly looking at large scale FPGAs in a data center, a la F1 or Microsoft's Catapult. I hadn't given much thought to use as low-run hardware, at which I'm sure they excel.
53.
by borramakot 9y ago
I hear this a lot, but every time I try to implement a specific algorithm (in crypto, compression, and ML so far), I find that a GPU practically beats the FPGA on every metric but power, especially total cost. No matter how nicely the probl
54.
by borramakot 9y ago
Are there performance numbers for this, on e.g. resnet-50?
55.
by borramakot 9y ago
To try this, do I need the full 16XL F1 instance, or can I run 1 node on the 2XL (1 FPGA) instance?
56.
by borramakot 9y ago
I won't defend FP24, but FP16 is a widely supported IEEE standard. https://en.wikipedia.org/wiki/IEEE_754
57.
by borramakot 10y ago
The most clear statement from him I'm aware of is "The concept of global warming was created by and for the Chinese in order to make U.S. manufacturing non-competitive." 1:15 PM - 6 Nov 2012.
58.
by borramakot 10y ago
Out of curiosity, I tried literally FizzBuzz on a couple of new grad candidates (my job is software, but we attract a lot of computer engineers). About half were able to do it without help. I no longer use FizzBuzz, but I'll use other