teranishi
Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
Teranishi, Keita, Menon, Harshitha, Godoy, William F., Balaprakash, Prasanna, Bau, David, Ben-Nun, Tal, Bhatele, Abhinav, Franchetti, Franz, Franusich, Michael, Gamblin, Todd, Georgakoudis, Giorgis, Goldstein, Tom, Guha, Arjun, Hahn, Steven, Iancu, Costin, Jin, Zheming, Jones, Terry, Low, Tze Meng, Mankad, Het, Miniskar, Narasinga Rao, Monil, Mohammad Alaul Haque, Nichols, Daniel, Parasyris, Konstantinos, Pophale, Swaroop, Valero-Lara, Pedro, Vetter, Jeffrey S., Williams, Samuel, Young, Aaron
We discuss the challenges and propose research directions for using AI to revolutionize the development of high-performance computing (HPC) software. AI technologies, in particular large language models, have transformed every aspect of software development. For its part, HPC software is recognized as a highly specialized scientific field of its own. We discuss the challenges associated with leveraging state-of-the-art AI technologies to develop such a unique and niche class of software and outline our research directions in the two US Department of Energy--funded projects for advancing HPC Software via AI: Ellora and Durban.
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- Government > Regional Government > North America Government > United States Government (1.00)
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- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
Meet The Inventors Who Turned Billions Of Phones Into Cameras
From left, Dr Michael Tompsett (UK), Professor Eric Fossum (USA) and Professor Nobukazu Teranishi (Japan) are announced as the winners of the 2017 Queen Elizabeth Prize for Engineering at Carlton House Terrace on Wednesday, Feb. 1, 2017 in London. Taking a selfie is one of the easiest and quickest things you can do on your smartphone. But as with any landmark invention, it took decades and plenty of graft to develop the camera technology that lives in your pocket. A trio of engineers behind the invention of the image-sensing technology found in billions of smartphones, camera phones, PCs and hospital scanning technology, won the £1 million ($1.3 million) Queen Elizabeth Prize for engineering on Wednesday, and spoke about where the image-sensor technology they developed should go in the future. "I feel gobsmacked and very thankful to the Queen Elizabeth prize for this honor," said one of the engineers, Eric Fossum.
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- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Communications > Mobile (0.83)