Nvidia's Computational Lithography Breakthrough

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Published 2023-11-12

All Comments (21)
  • @gamingmarcus
    I think the silicon industry is the equivalent of the modern space race. It just goes to show what insane advancements science can make with collaboration and a good amount of financial incentive behind it. It never ceases to amaze me how much further we can push this single element and I'm curious what will lie beyond the silicon lands.
  • @111108074
    The Vivek Singh in that paper was the same person. He was leading the computational lithography group at intel before he joined Nvidia.
  • @Czeckie
    I've seen every talk by Aki Fujimura about curvilinear masks. Being a mathematician, I find ILT the most fascinating part of chip manufacturing.
  • I was in IC design from 5000 nm NMOS down through 65 nm CMOS. Thanks for catching me up on 2 decades of progress!
  • @Gojo_Satorou274
    this guy is just insane, being a Mat sci PhD student, I can resonate to how many hours of research and literature review goes into making one of these videos. Keep up the good work bro!
  • @seanc6754
    That lithography machine that ASML makes is literally magic to me
  • @LoveBbyJay
    Thank you for another fantastic video Asianometry!! Your videos are some of my most beloved YouTube videos! Keep up the amazing work!!
  • @anton_s1
    This channel has given me a passion for photolithography. I'm proud to say that as a second year student I'm currently interviewing with onSemi, microchip, synopsis and MKS thanks to the interest you sparked in me for this field
  • @VidaDigital
    They definitely did have many of the world's 486+ million Spanish speakers talking about cuLitho...
  • This is by far the best video from Asianometry. I thought the videos on High-NA EUV would have already been challenging, but looks like the bar is now raised even higher. Kudos to the great work. Looking forward to more videos with such high quality content.
  • @dwinsemius
    For a couple of years I had been scratching my head trying to figure out how feature-sizes could be so much smaller than the wavelengths of light, even "extreme" UV. I met a guy in a brewpub that works for Nvidia who helped get some understanding but this added a bit more. Still learning. Thanks.
  • @nasacort2
    10:54 - Yes, Vivek was formerly the head of the computational lithography group at Intel.
  • @MarcosElMalo2
    One of my favorite movies is “Culito’s Way” with Ass Pachinko.
  • @biomagic8959
    the more i know the more fascinating it gets. thank you for producig this kind of videos!
  • @gspaulsson
    Computers designing computers was the concept behind numbering "generations" of computers: 1st gen, vacuum tubes; 2nd gen: discrete semiconductors; 3rd gen SSI scale integration; 4th gen: LSI. Very self-referential. By now, it must be 20th gen or something.
  • @simaesthesia
    I appreciated your closing philosophical statement about using computers to design chips to make faster computers. It reminded me of the old "if you could make a machine that replicates itself but half the size, and the resulting machine does the same, how far could that recursion progress until the resulting machine is too small to work?"
  • @Jacmac1
    It's worth mentioning that this will not have any kind of major impact on the actual throughput of the production of the wafers. There were some channels that saw this Nvidia breakthrough news and got carried away with the idea that throughput would be 10X faster or whatever. This will help speed up design, the throughput is still the same.
  • @ebx100
    I was taking a VLSI course back in the early 80's, and for a class project had to write and use a LISP design rule checker. At work the lab next to me had a DEC minicomputer. I asked for several seconds of CPU time to verify my chip design. It actually took several hours of CPU time. Not exactly lithography, just a lesson about how much computational power is required to design even a VLSI sized chip.
  • @FindLiberty
    Good stuff here - your presentation is striking too - Thank you!
  • @henryj.8528
    These talks/explanations are fascinating. You do them well.