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August 21, 2021

Daily Tech News 21 August 2021

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Tech News

  • Collaborative filtering doesn't work for... Chatroulette? (Chatroulette)

    Not surprised given the nature of the service, but the article actually goes to some lengths to examine why, which makes it worthwhile even if I personally have no use whatsoever for Chatroulette itself.


  • After Royal Core, Intel's Lunar Lake could bring 30% IPC improvement over Meteor Lake using Lion Cove cores. (WCCFTech)

    What does any of that mean? Well, future Intel processors will be faster than current ones. The article is talking about Intel's 15th, 16th, and 17th generation parts, where current chips are 11th generation. So we're looking at 2025 and 2026 before these chips finally arrive.

    It also mentions 40 core desktop parts - but that's still 8 large cores and 32 small ones. AMD will give you 16 large cores today. Just plunk down your money.


  • On the other hand AMD's initial socket AM5 parts will have DDR5 support but no PCIe 5.0. (Tom's Hardware)

    Intel's support for PCIe 5.0 seems useless at this point - it only applies to the video card, and not only do video cards not need PCIe 5.0, they don't support PCIe 5.0.

    When they do appear, at least you'll be able to run two cards because a x8 PCIe 5.0 slot is as fast as a x16 4.0 slot. But Nvidia no longer supports SLI so that's basically pointless too.

    AMD's Raphael - the initial AM5 part - has 28 PCIe 4.0 lanes, up from 24 on current AM4 parts. It looks like the additional 4 lanes are intended to provide two USB 4 sockets, which in addition to 40Gbps USB, support DisplayPort 2.0 video and PCIe connections. The chip can also provide two HDMI ports for a total of four displays.

    Like Intel, AMD really needs to get just a few lanes of PCIe 5.0 for the chipset connection. At the moment their high end chipsets (Threadripper) use 8 lanes of PCIe 4.0 to get the needed bandwidth.


  • Hackers stole $90 million from the "most secure" crypto exchange. (Tom's Hardware)

    Oops.


  • Tesla's D1 AI chip can deliver 362 teraFLOPs - albeit at FP16, so useful for AI but not for scientific work generally. (Tom's Hardware)

    This is intended for use in servers that analyse data and train less powerful systems in autonomous vehicles.




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