Oh no, the Large Hadron Collider is getting hungry for graphics cards
The Large Hadron Collider, which you may know for its work colliding hadrons over at the CERN laboratory, has found a reinvigorated taste for graphics cards.
As CERN explained in a recent announcement, the researchers at the big-ol' LHC have experimented with GPU power before, with key advancements in online reconstruction arriving as recently as last October, and they're now looking to more directly integrate graphics cards to support their data processing.
Using GPUs in supporting servers dramatically improves data flow in experiments like this. Apparently. For example, CERN estimates that without GPUs, it would need "about eight times as many servers" to handle the sheer quantity of data pouring in from the LHC's upgraded ALICE detector, which tops out around 3.5 terabytes per second.
In 2022, the LHCb – which studies the "beauty" or "b" quark, and no we're not making any of this up – is projected to generate over four terabytes of data per second, and "instead of offloading work, it will analyze the full 30 million particle-bunch crossings per second on GPUs."
In a similar vein, ATLAS – that's the hadron-colliding ATLAS experiment under CERN, not the demon-romancing Atlas under Sega – are actively "engaged in a variety of R&D projects towards the use of GPUs both in the online trigger system and more broadly in the experiment." According to CERN IT department head Enrica Porcari, GPUs have already been applied to "a range of applications" and are also being tested with machine learning.
What does all of this mean? Probably something really cool, but the only thing we could really parse was that CERN has joined us in the race to find some damn graphics cards. Fortunately, rather than struggling to find RTX 3090
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