Discover and read the best of Twitter Threads about #CUDA

Most recents (5)

On #biocompute news, $TSLA Tesla AI day gave some technical details on how they do their training and video labelling. It seems $NVDA Nvidia GPUs are the norm, with a 14,000 HPC heavily optimised on the software side. #pytorch #AVX2 #CUDA #SMT #smol #CUDNN Image
None of this is for the purpose of #Bioinformatics applications, rather here it's for Full Self-Driving software, but the technical details show some choices for high-throughput #AI training that one could compare to the #ComputationalBiology #ComputeAcceleration world.
Read 12 tweets
NVIDIA GTC starts today! There are tons of exciting topics and webinars covered. This year again the whole conference is online and free, so go and register if you have not done so already.

Here are a few special highlight sessions:

1/4 Image
GTC 2022 Keynote - September: lnkd.in/gYNqxsnr

How CUDA Programming Works: lnkd.in/gKmdjZub

Building the Future of Work with AI-powered Digital Humans: lnkd.in/gXJWk6vz

Building Future-Ready Intelligence for Cars: lnkd.in/gJ9BJMGM

2/4
A Deep Dive into RAPIDS for Accelerated Data Science and Data Engineering: lnkd.in/gM7mquwc

A Deep Dive into the Latest HPC Software: lnkd.in/ghXxGmar

Cross-Framework Model Evaluation and Accelerated Training with NVIDIA Merlin: lnkd.in/gXUEdajH

3/4
Read 4 tweets
"Floating Worlds" simulation

Full HD version:

See comments for more info.
#ArtificialLife #ALife #GenerativeArt #CUDA
Behind the scenes:

The thermo-mechanics is driven by a particle engine while the #ALife stuff is computed on top of it by an information transportation and action layer.
The behavior of the tiny machines results from the interaction of their building blocks.
This demo video was created to give you an overview of the state of development of the upcoming major version (still in progress!).
The already implemented features can be tried out here: github.com/chrxh/alien
The simulation tool has been renewed and should now be easy to use.
Read 4 tweets
Two large #antitrust probes in the same screenshot that relate to #Genomics and #Bioinformatics
(1) Possible buyout of #ARM by #NVIDIA does have an effect on the #Bioinformatics field: many applications now are deployable on CPU/GPUs with #ARM and/or #NVIDIA chips on them. Some recent examples are:
(a) the Oxford @nanopore MinION Mk1c device, which originally was specced at Jetson TX2 ARM+Pascal GPU accelerators (ARM processor 6 cores, 256 Core GPU), 8 GB RAM (may have changed since then.
Read 42 tweets
Thanks to Brecht for reviewing my patch, adaptive sampling has now landed in #b3d #Blender #Cycles.
For those interested in details:
It is following the approach outlined in sections 7.1.3 and 7.2 of this paper describing RenderMan:
graphics.pixar.com/library/Render…

The error metric is from section 2.1 here: pdfs.semanticscholar.org/8329/759ae51c9…
In layman's terms: Every other sample is written to a separate buffer. By comparing this extra buffer to the main image buffer, the renderer can estimate convergence.

Pixels receive progressively more samples until a convergence threshold or sample count limit is reached.
Read 8 tweets

Related hashtags

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3.00/month or $30.00/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!