ADAPT workshop @adapt_workshop
Workshop on Adaptive Self-Tuning Computing Systems with an open publication model, artifact sharing and reddit-based discussions! adapt-workshop.org Joined January 2011-
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Very excited to give a keynote along with @thoefler and @jfreirenet at @acmrep - the 1st ACM conference on #reproducibility and #replicability: linkedin.com/posts/grigorif… . You can find abstracts at acm-rep.github.io/2023/keynotes . Looking forward to discussions!
Oops haven't tweeted too much recently; I'm mostly watching with interest the open source LLM ecosystem experiencing early signs of a cambrian explosion. Roughly speaking the story as of now: 1. Pretraining LLM base models remains very expensive. Think: supercomputer + months.…
This is a nice idea -- getting ChatGPT to explain papers in a way suitable for an older and less technical audience. I might have to try this on my mum! :D
This is a nice idea -- getting ChatGPT to explain papers in a way suitable for an older and less technical audience. I might have to try this on my mum! :D
The list of papers accepted to PLDI 2023 are up! Check them out! pldi23.sigplan.org/track/pldi-202…
We are thrilled to announce the release of the Collective Knowledge Playground - an #opensource and technology-agnostic platform to make it easier to #benchmark, #optimize and #compare AI and ML Systems across rapidly evolving systems, models and data: linkedin.com/pulse/ctuning-…
Our new course, "From Deep Learning Foundations to Stable Diffusion", is finally done after 8 months of work!!! With >30 hours of video content (all free, no ads!), you'll learn how to create and train a Stable Diffusion model starting from pure Python 🧵 fast.ai/posts/part2-20…
Do you have an idle @nvidia GPU? Can you please help the community test the beta version of the open-source framework for composable benchmarking and design space exploration of ML systems: github.com/mlcommons/ck/b… . Thank you very much!!!
Happy New Year everyone!!! Please catch me at @hipeac'23 in Toulouse if you are interested to collaborate on making Machine Learning Systems more modular, portable and reproducible using the @MLCommons CK2 (CM) automation meta-framework: github.com/mlcommons/ck !
🌍Breaking out of silos, getting a holistic perspective – that's what the HiPEAC conference is all about. #HiPEAC23 in Toulouse, the ♥️ of Aerospace Valley, is a celebration of computing systems great and small 👉 bit.ly/HiPEAC23_press…
Asking for a favor to test our automated workflow for the #MLPerf inference benchmark from @MLCommons with a live @weights_biases dashboard before students run it at the @SCCompSC in a few days: github.com/mlcommons/ck/b… . Thank you for supporting this community project!
Please subscribe to our mailing list and weekly meetings here: forms.gle/i5gCDtBC8gMtcv… - your feedback is very important to us!
I am so excited to be preparing a new working group at @MLCommons to help the community #modularize ML & AI systems and automate their #benchmarking, #optimization and #deployment in the real world. Join this community effort at github.com/mlcommons/ck/b… !
New AI Chip Twice as Energy Efficient as Alternatives spectrum.ieee.org/ai-chip
I am very pleased to announce the release of the next generation of the @MLCommons CK framework to modularize AI&ML systems and automate their benchmarking, optimization and deployment: linkedin.com/pulse/releasin… via @LinkedIn
@grigori_fursin shout-out to @TheOfficialACM, @NeurIPSConf, @icmlconf for #reproducibility initiatives. @sigarch @ACMDL #ACMTechTalk
Our agenda for today: #Reproducibility #ACMTechTalk
2/11, join @grigori_fursin (@c_tuning) for the #ACMTechTalk "Reproducing 150 Research Papers & Testing Them in the Real World." Learn how to automate this process & bring in DevOps/FAIR principles. Peter Mattson (@commons_ml) moderates. Register: bit.ly/3c2zfaR
Register now for the next free #ACMTechTalk, "Reproducing 150 Research Papers and Testing Them in the Real World: Challenges and Solutions" presented on Thursday, February 11 from 12-1 pm EST by @grigori_fursin. Register here: bit.ly/2NLj4Vp
2/11, join @grigori_fursin (President of @c_tuning) for the #ACMTechTalk "Reproducing 150 Research Papers & Testing Them in the Real World." Peter Mattson (@GoogleAI ML Metrics Lead & President of @commons_ml) moderates. Free registration: bit.ly/3c2zfaR
This is such a great course! It helped our collaborative project with @Raspberry_Pi to teach students how to use ML to build more efficient computer systems: cknowledge.io/use-ml-to-opti… . Thank you @AndrewYNg !
Andy Dang @andy_dng
147 Followers 364 Following He/him. Lead Engineer/Co-founder at @whylabs. Ex @amazon/@awscloud. Opinions are mine.
Ravi Shirvaikar @shirvik
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HiPEAC @hipeac
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Muhamed Almahjubi @Libyan_War_Lock
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Todd Gamblin / @tgamb... @tgamblin
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cResearch @cresearch
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cTuning foundation @c_tuning
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K. Ishizaki @kiszk
993 Followers 1K Following Researcher, Ph.D in CS. Research at optimizing compiler. ACM distinguished member. Apache #Spark and #Arrow committer. My tweets are my own. I love 🎾🍷🍶✈️
Andrej Karpathy @karpathy
1.4M Followers 1K Following Building @EurekaLabsAI. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets.
ICML Conference @icmlconf
78K Followers 12 Following Int'l Conf on Machine Learning • This account not monitored, Contact: https://t.co/6saHKWVxR6 • LinkedIn: https://t.co/YlU0lrSVna
NeurIPS Conference @NeurIPSConf
140K Followers 39 Following San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Tweets to this account are not monitored. Please send feedback to [email protected].
ReproIndex @ReproIndex
23 Followers 8 Following Keeping track of reproduced AI, ML and systems R&D with reusable artifacts (code, data, models, workflows) to support #OpenScience, #OpenResearch & #OpenData
Arm Education @ArmEducation
3K Followers 409 Following The latest updates from Arm Education and its ecosystem of partners including educational institutions, technology partners, distributors, and publishers.
HiPEAC @hipeac
4K Followers 2K Following Network driving European computing research and industry forward from #edge to #cloud to #IoT. Funded by the #EU #HPC #embedded #architecture #compilation
cResearch @cresearch
36 Followers 11 Following Developing a common methodology for #Reproducible R&D, and a common framework to automate sharing, evaluation and reuse of workflows and artifacts
dividiti @dividiti
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cTuning foundation @c_tuning
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565 Followers 390 Following Head of FlexAI Cloud Services Labs supporting open-science and open-source initiatives to co-design more efficient, cost-effective and reliable AI/ML systemsTrends for United States
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