Ведущий разработчик ChatGPT и его новый проект — Безопасный Сверхинтеллект

Многие знают об Илье Суцкевере только то, что он выдающийся учёный и программист, родился в СССР, соосновал OpenAI и входит в число тех, кто в 2023 году изгнал из компании менеджера Сэма Альтмана. А когда того вернули, Суцкевер уволился по собственному желанию в новый стартап Safe Superintelligence («Безопасный Сверхинтеллект»). Илья Суцкевер действительно организовал OpenAI вместе с Маском, Брокманом, Альтманом и другими единомышленниками, причём был главным техническим гением в компании. Ведущий учёный OpenAI сыграл ключевую роль в разработке ChatGPT и других продуктов. Сейчас Илье всего 38 лет — совсем немного для звезды мировой величины.

https://habr.com/ru/companies/ruvds/articles/892646/

#Илья_Суцкевер #Ilya_Sutskever #OpenAI #10x_engineer #AlexNet #Safe_Superintelligence #ImageNet #неокогнитрон #GPU #GPGPU #CUDA #компьютерное_зрение #LeNet #Nvidia_GTX 580 #DNNResearch #Google_Brain #Алекс_Крижевски #Джеффри_Хинтон #Seq2seq #TensorFlow #AlphaGo #Томаш_Миколов #Word2vec #fewshot_learning #машина_Больцмана #сверхинтеллект #GPT #ChatGPT #ruvds_статьи

Hot Aisle's 8x AMD #MI300X server is the fastest computer I've ever tested in #FluidX3D #CFD, achieving a peak #LBM performance of 205 GLUPs/s, and a combined VRAM bandwidth of 23 TB/s.
The #RTX 5090 looks like a toy in comparison.

MI300X beats even Nvidia's GH200 94GB. This marks a very fascinating inflection point in #GPGPU: #CUDA is not the performance leader anymore.
You need a cross-vendor language like #OpenCL to leverage its power.

FluidX3D on #GitHub: https://github.com/ProjectPhysX/FluidX3D

First day of the #GPGPU course at #UniCT. Class is small, but students seem curious, gave me the opportunity to discuss in more details some things that usually go unmentioned. Hopefully it'll hold.

Only negative side, I had to take a longer route home because the park between my house and the university was closed 8-(

I'm getting the material ready for my upcoming #GPGPU course that starts on March. Even though I most probably won't get to it,I also checked my trivial #SYCL programs. Apparently the 2025.0 version of the #Intel #OneAPI #DPCPP runtime doesn't like any #OpenCL platform except Intel's own (I have two other platforms that support #SPIRV, so why aren't they showing up? From the documentation I can find online this should be sufficient, but apparently it's not …)

So I found https://github.com/tracel-ai/cubecl which allows #gpgpu in #rust. Already using it to calculate some determinants for triangulations. Wondering if it can be leveraged to build a numeric #pde solver

This look at how many HLSL instructions different variations of an endian swap compile to with AMD tooling is... well, frankly, it's upsetting. All variations are similar, but compile down to anywhere from 1 to 13 IR ops. Contorting code to trigger desired compilation paths is familar to many GHC Haskellers, but it's an incredible deterrent to prioritizing performance. https://martinfullerblog.wordpress.com/2025/01/13/massaging-the-shader-compiler-to-emit-optimum-instructions/

Still work in progress: debugging a reaction-diffusion compute shader for a GPU generated mesh.

GPU programming can be challenging. Join Engin Kayraklioglu’s live demo today (October 31st) at 10AM Pacific to see how the Chapel programming language makes it easier to program GPUs.

Find out more on the Upcoming Events page: https://chapel-lang.org/events.html

I love the smell of burning plastic when running a heavy-duty #CFD simulation on my laptop's #GPU

Here’s hoping that the transition of #Rust #GPU to community ownership goes well! The intention to focus on #GPGPU is more than welcome, as I feel the development of some GPU programming ecosystems has been held back by a too-narrow focus on traditional GPU graphics techniques. The dream is to be able to write CUDA-like Rust that can target hardware from multiple vendors!

https://rust-gpu.github.io/blog/transition-announcement/

CUDA, But Make It AMD https://hackaday.com/2024/07/16/cuda-but-make-it-amd/ #generalpurposegpu #MachineLearning #MiscHacks #radeon #gpgpu #CUDA #amd #ATI

CUDA, But Make It AMD https://hackaday.com/2024/07/16/cuda-but-make-it-amd/ #generalpurposegpu #MachineLearning #MiscHacks #radeon #gpgpu #CUDA #amd #ATI

CUDA, But Make It AMD - Compute Unified Device Architecture, or CUDA, is a software platform for doing big... - https://hackaday.com/2024/07/16/cuda-but-make-it-amd/ #generalpurposegpu #machinelearning #mischacks #radeon #gpgpu #cuda #amd #ati

Uploaded a new demo/example showing how to perform GPU-side data reductions using https://thi.ng/shader-ast & https://thi.ng/webgl multi-pass pipeline. Arbitrary reduction functions supported. If there's interest, this could be expanded & packaged up as library... 90% of this example is boiler plate, 9.9% benchmarking & debug outputs...

Demo:
https://demo.thi.ng/umbrella/gpgpu-reduce/

Source code:
https://github.com/thi-ng/umbrella/blob/develop/examples/gpgpu-reduce/src/index.ts

Readme w/ benchmark results:
https://github.com/thi-ng/umbrella/tree/develop/examples/gpgpu-reduce

Related discussion:
https://github.com/thi-ng/umbrella/issues/478

Bringing C++ to Godot with GDExtensions

After playing with Godot within its own rules, I decided to check out what is the experience of bringing in external C++ code into a Godot project through their GDExtensions system. Using it, I bring over two different implementations of toyBrot into a regular Godot project. One with C++ threads and another with OpenCL, pushing Godot being its […]

https://vilelasagna.ddns.net/coding/bringing-c-to-godot-with-gdextensions/

By: @vilelasagna@mastodon.gamedev.place
#c_ #coding #GDExtensions #Godot #godotengine #GPGPU #multithreading #OpenCL

It's official now: I hate #NUMA and variable frequency.

This is re: https://fediscience.org/@giuseppebilotta/111818775682992930

It might just be that I'm more proficient analyzing and working around #GPU quirks (happens, when you do mostly #GPGPU for more than a decade) than #CPU, but there's so many weird things happening on this machine that I don't know where to start from.