Brett Viren writes:
> I think Debian is already doing a good job with CUDA, at least as it
> pertains to my work with Python+GPU. My thanks and please keep it up!
I'd very much like to second this sentiment! Thanks especially to Mo's
amazing work with PyTorch, my personal workflow has
Hello,
I'm not confortable in fostering proprietary solution like CUDA against
libre alternative in Debian project. CUDA libraries are de-facto
outdated when new Debian release comes out due to new hardware release
and vendor lock-in business model. As a consequence, the user will
always download
On 21.05.21 21:13, François Mazen wrote:
> CUDA libraries are de-facto outdated when new Debian release comes
> out due to new hardware release and vendor lock-in business model. As
> a consequence, the user will always download the last libraries
> version from the vendor web-site.
That's not
Am 21.05.21 um 15:55 schrieb Thomas Schiex:
> I'm a computer scientist working in AI and structural biology. I'm
> sorry to say that CUDA has slowly invaded a lot of our scientific
> pipelines, for Deep learning, convex optimization and molecular
> simulations.
>
> I just could not vote for
I've had a massive faff with ROCm, and on my main workstation have been
compelled to use a different distro that makes things easier. Definite
preference for option 2.
Previous job was academic research, everything was CUDA. Now I'm in
industrial R, and I run into whatever my customers want me to
Hi,
"M. Zhou" writes:
> Q: How far should Debian go along the way for supporting hardware
> acceleration solutions like CUDA?
I think Debian is already doing a good job with CUDA, at least as it
pertains to my work with Python+GPU. My thanks and please keep it up!
One recent example for me
I'm a computer scientist working in AI and structural biology. I'm sorry
to say that CUDA has slowly invaded a lot of our scientific pipelines,
for Deep learning, convex optimization and molecular simulations.
I just could not vote for option 2 even if option 1 is tolerable (I'm
using it).
Le vendredi 21 mai 2021 à 04:40 +, M. Zhou a écrit :
>
> Q: How far should Debian go along the way for supporting hardware
> acceleration solutions like CUDA?
>
> Choice 1: this game belongs to the big companies. we should offload
> such burden to third-party providers such as Anaconda.
>
On 21.05.21 06:40, M. Zhou wrote:
> Choice 1: this game belongs to the big companies. we should offload
> such burden to third-party providers such as Anaconda.
> Choice 2: we may try to provide what the users need.
> Choice 3:
Choice 2, by a mile.
CUDA wins either way. It's the de facto
CUDA is a poor solution. nVidia only, proprietary. Need to enourage
upstreams to use the other solutions.
I don't know ROCm, maybe it's good. Open source at least.
SYCL is a good target, should be supported. Supersedes OpenCL.
Drew
On 2021-05-21 06:40, M. Zhou wrote:
Hi folks,
---
Q:
Hi,
thanks for the "poll"
> Choice 1: this game belongs to the big companies. we should offload
> such burden to third-party providers such as Anaconda.
> Choice 2: we may try to provide what the users need.
> Choice 3:
All for Choice 2, or even a stronger version of it.
Anaconda has become a
Hi folks,
---
Q: How far should Debian go along the way for supporting hardware
acceleration solutions like CUDA?
Choice 1: this game belongs to the big companies. we should offload
such burden to third-party providers such as Anaconda.
Choice 2: we may try to provide what the users need.
12 matches
Mail list logo