#GPUcomputing

Amanda Randles 🧪⚛️ 👩‍🔬profamandarandles.bsky.social@bsky.brid.gy
2025-06-10

🧪Curious about high performance across GPUs? Our new paper benchmarks a parallel FSI code on CUDA, SYCL & OpenMP across top systems. See Aristotle Martin present it at #ISC2025 on June 11, 10:45 in Hamburg! #HPC #GPUcomputing #PerformancePortability

N-gated Hacker Newsngate
2025-05-04

🚀 So, you think strapping consumer GPUs together is the tech equivalent of duct-taping a rocket? 🤔 GitHub's magical fairy dust promises to turn your GPU potato farm into a supercomputer, but only if you squint hard enough. 🥔✨
github.com/Foreseerr/TScale

2025-03-21

🚀 Ready to test the limits of performance?

Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!

💻 Bring your code, ideas, and curiosity.
🔧 Optimize, accelerate, and innovate with us.
🏆 Let’s see what you can build!

🔗 archer2.ac.uk/training/courses

#AMDGPU #HPC #GPUComputing #Hackathon #OpenScience

apfeltalk :verified:apfeltalk@creators.social
2025-03-19

NVIDIA stellt DGX Spark und DGX Station vor: KI-Supercomputer für den Schreibtisch
NVIDIA hat auf der GTC 2025 zwei neue KI-Supercomputer vorgestellt, die erstmals Data-Center-Leistung auf den Desktop bringen
apfeltalk.de/magazin/news/nvid
#KI #News #DataScience #DGXSpark #DGXStation #GPUComputing #GraceBlackwell #HighPerformanceComputing #KIEntwicklung #KISupercomputer #MachineLearning #NVIDIADGX

iamchrisgiamchrisg
2025-02-27

This is a fantastic chance to contribute to the future of collider physics simulations! Interested? Find out more and apply here: smartrecruiters.com/CERN/74400

2025-01-14

And compression is now super fast!
💻Performance on Mac M1:
✅𝐂𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧: 7 GB/s
✅𝐃𝐞𝐜𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧: 8 GB/s
Wait till multithreading happens on GPU and you only decompress on demand

#compression

#llms

#GPUComputing

#ai

𝐏𝐚𝐩𝐞𝐫: alphaxiv.org/abs/2411.05239

Chapel Programming Languagechapelprogramminglanguage
2024-04-29

How does Chapel make moving data in and out of GPU memory easy? How about doing that on a supercomputer with 1000s of GPUs?

Check out our 2nd GPU programming article by Engin Kayraklioglu: chapel-lang.org/blog/posts/gpu

Chapel Programming Languagechapelprogramminglanguage
2024-04-24

Since its inception, GPU computing has struggled to balance competing demands for productivity, portability, and performance.

Can Chapel 2.0 fill this niche?

Virginia Tech's Paul Sathre will answer this question in his keynote address at ChapelCon '24!

Register here: hpe.zoom.us/meeting/register/t

MWibralmwibral
2022-02-08

In the long run it seems we have to replace in our scientific software, which used pyopencl for on all vendors' cards. Which way should we go?
?
We want , vendor neutrality, longevity of the software and an easy way to use it from python (ah, and performance, of course)

Canonical Ubuntuubuntu@ubuntu.social
2019-03-15

Going to Nvidia GTC?

Visit us at booth 1422 to talk about how we support AI/ML from desktop to cloud to edge.

Then join us for drinks and tacos at Continental Bar on March 20 from 7 pm to 10 pm.

#GTC19 #GPUComputing #kubeflow
bit.ly/2XZDpqr

Ubuntu News & Updatesubuntunews
2019-03-15

Going to Nvidia GTC?

Visit us at booth 1422 to talk about how we support AI/ML from desktop to cloud to edge.

Then join us for drinks and tacos at Continental Bar on March 20 from 7 pm to 10 pm.


t.co/f1fWlUpEn1 tweeted by @ubuntu

heise online (inoffiziell)heiseonline@squeet.me
2018-06-20
Nvidia nutzt die Computer Vision and Pattern Recognition Conference zur Veröffentlichung mehrerer Machine-Learning-Projekte. www.heise.de/developer/meldung… #GPUComputing #MachineLearning #Nvidia

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst