flâneur

Will Freudenheim

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on the atlas — 4

highlights — 5

  • There are parts of biology that are not so suited to GPU computing, like some tasks in sequence-based informatics where you’re first uploading a huge dataset, and then slowly chugging your way through it,” concludes Sharpe
    The rise of GPU computing in science | EMBL
  • “Only six years ago, we were still shooting film and we had to develop the film in the darkroom manually,” remembers Wim Hagen of the Electron Microscopy facility. “Develop, fix, wash, dry, then scan the negatives and hope you didn’t make a mistake. Good people could do three boxes a day. Nowadays, it’s fully automated. We get 2000 to 3000 images a day and that pushes things.”
    The rise of GPU computing in science | EMBL
  • s that there’s one major benefit to this shift to GPU computing, though: cost. A full-size CPU cluster costs a lot of money and resources to run, he explains. “We have switched over to being able to run everything in our own lab on our own computers’ graphics cards. We will probably start using GPU clusters [racks of dedicated GPUs] in the future. But, still, it’s saving a huge amount of time and money in this work.”
    The rise of GPU computing in science | EMBL
  • Publishers have exploited prestige capture to become the ultimate rent-seekers, with operating margins between 25-40% and market capitalizations up to $50B. They charge institutions millions of dollars in annual subscriptions and researchers thousands of dollars in publication charges per paper, all while preventing the public from openly accessing research.
    Magna Carta Scientiae
  • We intend to improve incentives in science by developing smart research contracts mediated by peer-to-peer review networks. These will collectively reward scientific contributions, including proposals, papers, replications, datasets, analyses, annotations, editorials, and more.
    Magna Carta Scientiae