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outdated when new Debian release comes out due to new hardware release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 CUDA libraries are de-facto outdated when new Debian release comes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,
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