HPC & Quantum
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HPC Guru (Twitter)

RT @thoefler: 2.5 bits per weight are enough to run inference on extremely large language models! Using a simple blocked scaling scheme and moderate block sizes.

Meet GPTQ: https://arxiv.org/abs/2210.17323

#DeepLearning #TinyML @DAlistarh @elias_frantar @AshkboosSaleh https://twitter.com/thoefler/status/1599653546483408896/photo/1
HPC Guru (Twitter)

RT @thoefler: Submitting a #DataScience, #AI, or #DeepLearning paper to @Supercomputing? Check the performance fallacies in "benchmarking data science".

Twelve ways to lie with statistics and performance - just to make sure your work doesn't fall for any of them ;-).

http://htor.inf.ethz.ch/publications/index.php?pub=473 https://twitter.com/thoefler/status/1643120712474038272/photo/1
HPC Guru (Twitter)

ICYMI: Designing network support for High-Performance #DeepLearning Systems

Network and memory bandwidth is the new oil in #AI #supercomputing

Keynote by @thoefler at #HPC Advisory Council, April 2023, Lugano, Switzerland

https://www.hpcadvisorycouncil.com/events/2023/swiss-conference/pdf/day2/ETH.pdf
HPC Guru (Twitter)

#DeepLearning pioneer Geoffrey Hinton quits Google

@geoffreyhinton says he has new fears about the technology he helped usher in and wants to speak openly about them, and that a part of him now regrets his life’s work

https://t.co/MGw895E3wX

#AI via @techreview
HPC Guru (Twitter)

RT @AndrewYNg: I'm happy to be on the Time AI 100 list of influential people in AI, and thrilled that 8 others from my Stanford group or other teams I led are also named!

Congratulations to my former advisees and team members:
- Sam Altman @sama (as undergrad, interned with me on RL research at Stanford)
- Dario Amodei @Dario_Amodei (worked with me on DeepSpeech and scaling laws at Baidu)
- Alison Darcy @alisonmdarcy (AI+mental health at Stanford)
- Geoff Hinton @geoffreyhinton (member of my team at Google Brain)
- Lila Ibrahim @lilaibrahim (once my COO at Coursera)
- Neal Khosla @nealkhosla (undergrad advisee at Stanford)
- Richard Socher @RichardSocher (PhD advisee with Chris Manning)
- Ilya Sutskever @ilyasut (postdoc at Stanford)

It's thrilling to see the ongoing impact of everyone's work! ❤️
HPC Guru (Twitter)

RT @AndrewYNg: I'm happy to be on the Time AI 100 list of influential people in AI, and thrilled that 8 others from my Stanford group or other teams I led are also named!

Congratulations to my former advisees and team members:
- Sam Altman @sama (as undergrad, interned with me on RL research at Stanford)
- Dario Amodei @Dario_Amodei (worked with me on DeepSpeech and scaling laws at Baidu)
- Alison Darcy @alisonmdarcy (AI+mental health at Stanford)
- Geoff Hinton @geoffreyhinton (member of my team at Google Brain)
- Lila Ibrahim @lilaibrahim (once my COO at Coursera)
- Neal Khosla @nealkhosla (undergrad advisee at Stanford)
- Richard Socher @RichardSocher (PhD advisee with Chris Manning)
- Ilya Sutskever @ilyasut (postdoc at Stanford)

It's thrilling to see the ongoing impact of everyone's work! ❤️
HPC Guru (Twitter)

RT @thoefler: The HammingMesh talk from #SC22 - a flexible and cost-effective network topology for #DeepLearning on #AI #Supercomputers.

https://www.youtube.com/watch?v=4_Ma01QtttQ

10-15x cheaper than Fat Tree networks, higher flexibility than Torus, fault-tolerant and reproducible!

Best Repro Award @ #SC23!
HPCwire (Twitter)

One of this year’s #PeopletoWatch is Yann Lecun. He is best known for his work in #deeplearning and the invention of the convolutional network method. Yann is currently a part-time professor at NYU and a VP and Chief #AI Scientist for Facebook AI Research. ow.ly/LHn450RhfHW
HPCwire (Twitter)

Artificial intelligence encompasses a set of emerging technologies that are transforming the world as we know it. Get the articles that matter most in TECHwire UPDATE: #ArtificialIntelligence delivered monthly directly to your inbox.
ow.ly/QNUE50SiqUO
#deeplearning
HPCwire (Twitter)

With AI and #HPC pushing the limits of computational power, the choice of software stack can significantly impact performance, efficiency, and developer productivity. Delve into the intricacies of the leading software stacks: ow.ly/xi0e50SnUwo.
#deeplearning #GenAI
HPCwire (Twitter)

MIT researchers, using NSF ACCESS-funded resources at SDSC, have developed a cutting-edge #machinelearning method to analyze chemical patterns in metallic alloys. This breakthrough in computational models offers unprecedented insights. ow.ly/6mKx50SxwAA #deeplearning
HPC Guru (Twitter)

In the next couple of decades, we will be able to do things that would have seemed like magic to our grandparents

@sama touts “The Intelligence Age”

#DeepLearning worked, got predictably better with scale, and we dedicated increasing resources to it

ia.samaltman.com
HPC Guru (Twitter)

How a stubborn computer scientist accidentally launched the #DeepLearning boom

"You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li (@drfeifei)

https://arstechnica.com/ai/2024/11/how-a-stubborn-computer-scientist-accidentally-launched-the-deep-learning-boom/

#AI
HPCwire (Twitter)

HPCwire reports on DIMON, a groundbreaking #artificialintelligence framework capable of solving complex equations at speeds that rival supercomputers — without requiring HPC infrastructure. #machinelearning #deeplearning #quantumphysics #HPCwire
ow.ly/YFn750UGms1
HPCwire (Twitter)

Quantum expert John Preskill shifts the focus from NISQ systems to a bold new target: the “MegaQuop” machine. Explore Preskill’s vision for the future of #QuantumComputing and what it means for research and industry. #SuperComputing #HPCwire #DeepLearning
ow.ly/6agI50UBA9K