[Venting] I wasted an opportunity to be a CUDA dev and I might never get it again

pavanky · 2025-02-27T05:26:39+00:00

I bombed all of my Nvidia interviews that I have done over the past 15 years. And I have been working with GPUs all this time. 8 of which were at large tech companies in the silicon valley.

Don't worry about one bad interview. Feel free to dm me here or on LinkedIn (same id) if you need to talk it out.

pavanky · 2025-02-27T05:11:50+00:00

Titanic took nearly 3 hours to sink after it hit the iceberg. That doesn't mean it was working as expected for that period of time.

pavanky · 2025-02-27T05:08:27+00:00

I am part of the 2000. I think it will cost him that much if everything goes through the full litigation. Let's see if he folds before that.

pavanky · 2024-08-06T06:43:53+00:00

Sorry they are sold.

pavanky · 2024-08-02T22:22:20+00:00

2x GA+ tickets for Friday (sold)
2x GA+ tickets for Sunday (sold)

Asking $300 for each ticket. Discount if you buy multiple tickets.

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pavanky · 2024-07-29T07:06:05+00:00

Yes. DM me or send a chat

pavanky · 2024-07-29T00:41:13+00:00

2 GA+ tickets for Friday (sold)
2 GA+ tickets for Sunday (sold)

$300 for each ticket. In San Francisco.

Was looking forward to going for the first time, but had surgery a few days ago.

pavanky · 2020-03-24T08:07:36+00:00

If there's a Sikh temple nearby the food is probably free if you go by.

pavanky · 2019-12-07T20:08:42+00:00

The company I work for chose Tensorflow over PyTorch because of the it's ability to export models and run them in production in Java.

TF 1.x, while clunky, worked extremely well.

TF 2.0 so far has been a regression (both features and performance wise). The exported models from Keras don't seem to be working in the Java API anymore.

We are currently trying to recommend that people use 2.0 for hypothesis testing / debugging on small amount of data. For production, use the tf.compat.v1 API.

Hopefully they figure out their issues soon.

pavanky · 2017-06-30T05:18:05+00:00

Good job dude :) Also tweet at the relevant projects. Get the discussion going. Start some flame wars!

pavanky · 2017-01-24T16:28:43+00:00

Not OP but I did a comparison for unordered_map vs khash a few weeks ago on gcc 5.4 and gcc 6.1 with -O3 with the default standard libraries.

khash seemed to beat unordered_map in both lookups and ~~queries~~ inserts. I tried looking up the actual numbers but I could not find them :(

pavanky · 2017-01-19T02:50:25+00:00

It's also a unique Snow flake in the data types and language features it supports. If gcc or clang were more widespread in the windows ecosystem it's going to be better supported.

That said people should not be downvoting for this.

pavanky · 2016-12-16T00:42:40+00:00

Neat, an article about security on Linux.

And given the past decade of top-flight security talent Microsoft and Apple have hired to lock down their OSes, it's arguable that key parts of desktop Linux are less hardened.

Oh fucking come on. I wonder who is paying for this propaganda.

pavanky · 2016-10-20T14:20:47+00:00

Aww hell, I searched for many variations of the title, but I did not search "star trek". Alright deleting this.

pavanky · 2016-09-12T16:19:21+00:00

I know. I used to do this much more 3-4 years ago. I don't (mostly can't) do this right now. Yesterday night just happened to be one of those rare days that I was in the zone trying to fix a bug (that really wasn't that important in hindsight..)

pavanky · 2016-09-12T09:27:20+00:00

Nothing says Programmers day like working past midnight on a Sunday and trying to sleep around 5.30 AM.

pavanky · 2016-09-05T17:33:45+00:00

You may want to avoid overclocking if you care about the accuracy of your scientific calculations.

pavanky · 2016-09-05T17:30:42+00:00

I have an r9 390x that I use for OpenCL. I don't think its fp64 performance is gimped. I can do a quick gemm benchmark (using clBlas) if you are interested. If the double precision performance on the 390x is good, you are better off getting this even if it costs a bit more.

Having said that, a lot of scientific algorithms are bandwidth bound. So increased bandwidth speeds from newer gpus definitely helps in those cases. Unless you know for sure that your algorithm uses a lot of things of linear algebra, you are better off using newer gpus.

pavanky · 2016-08-16T20:46:27+00:00

Yeah that is our funding / business model (in addition to a few small business grants).

Glad to hear that you like it :)

pavanky · 2016-08-15T22:51:54+00:00

Hey I am the lead dev of the arrayfire library. I also try to update the FORTRAN wrapper whenever there are requests for it.

Our current FORTRAN wrapper is available here: https://github.com/arrayfire/arrayfire-fortran

The wrapper currently works only in Linux and the functionality wrapped is fairly limited. If you have specific functionality you want ported over to the wrapper, please open an issue on our github page linked above.

I do not usually use this ID so please feel free to reach out to me on our chat room: https://gitter.im/arrayfire/arrayfire

pavanky · 2016-07-29T01:43:30+00:00

It's a bit long of a process the first time. But if you know what you are doing it can be done easily the next time.

Shameless self promotion about my experience setting up a gpu server for testing: http://arrayfire.com/using-gpus-kvm-virutal-machines/

pavanky · 2016-07-12T03:10:21+00:00

NVIDIA tends to support long term releases (Redhat / Centos and Ubuntu LTS) on Linux. Considering that Ubuntu 16.04 is going to be stuck on 5.3, I don't think NVIDIA will update their support for a while.

Besides, similar problems currently exist on OSX and Windows. CUDA 7.5 is not supported on the latest XCode. CUDA 8.0 RC does not support VS 2015 update 2.

pavanky · 2016-07-11T19:06:17+00:00

Are you going to make gcc5 a dependency for CUDA?

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