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About M.Yurizaki

  • Title
    Computer enthusiast


  • CPU
    Intel Core i7-6700
  • Motherboard
    ASUS Z170i Pro Gaming
  • RAM
    2x8GB Corsair DDR4-2666
  • GPU
    EVGA GeForce GTX 1080 ACX 3.0 AC
  • Case
    Silverstone FTZ01
  • Storage
    256GB Samsung 950 Pro, 1TB Samsung 850 EVO, 1TB 2.5" Seagate HDD
  • PSU
    Silverstone SX600
  • Display(s)
    Dell P2715Q, ASUS PG279Q
  • Cooling
    Silverstone AR-06
  • Keyboard
    Korsair K70 Lux
  • Mouse
    Logitech G502
  • Sound
    Logitech Z906
  • Operating System
    Windows 10 Pro

Profile Information

  • Gender
  • Location
  • Interests
    General technology and games! Also cars and motorcycles. And anime. In no particular order.
  • Biography
    A 10+ year PC tinkerer and builder!
  • Occupation
    Software developer

Recent Profile Visitors

15,735 profile views
  1. You can't overvolt batteries unless you overcharge them. And even then you can't go far before it blows up. What you can do is use a boost converter to change from a lower voltage to a higher one at the expense of lower amperage because the power consumption has to be the same.
  2. Well you really need to define what a supercomputer is first. When the GPGPU concept was coming out people were saying you could make supercomputers for comparatively dirt cheap
  3. Given that space based payloads are very expensive and need to be as "space" efficient as possible, I'm just going to see it how it is and assume the first thing that comes to mind that makes sense to me. Basically I don't find it worthwhile to really dig into the details beyond what was said at face value
  4. If this is something for the company, then upgrading to or waiting for the latest and greatest isn't always the best thing to do. Get what you know works and is well within your requirements first.
  5. It depends on what you want to use it for. In my case, Python has been a godsend because I write most of my test tools with it. It allows me to get something out quickly and absolute performance isn't really a problem (most of it is to automate what a human would've done)
  6. Hardware architecture has nothing to do with it. They will all convert a significant amount of energy they consume as heat.
  7. The point is whatever power you put in, it's going to dump that power in heat. 200W (which is around what my computer draws during gaming) is going to warm up a room over time unless you're actively removing it constantly.
  8. One more point to add, Puget Systems a few years ago did a test to see if a high power PC can warm up a room as well as a space heater of equivalent power. It does
  9. @PianoPlayer88Key Oh hey, an SDGE customer! I live in the area and I can attest that while San Diego has nice weather most of the time, that also meant a lot of places don't have AC. I used to live in a place that didn't have AC and in summers the room would get to a balmy 90+ Fahrenheit. And even if you have an AC, the additional cost of running it more often because the hardware is going to dump more heat has to account for something. It's the same reason why servers, large businesses, and the like are looking towards energy efficiency. Aside from saving per unit, they also save on HVAC. Also, even where I live has decent AC, insulation, and my room gets as little sunlight as possible, my room still becomes the warmest when I'm gaming. Sometimes as much as 4-5 degrees warmer. If you don't care about those costs, then cool, more power to you. But that doesn't mean someone who does care, no matter how little, should be cast out and laughed at.
  10. And you missed my point but I guess if you're tunnel visioned into thinking the only reason why people care about power draw is electricity costs then okay. You win.
  11. If the person values how much heat their system generates, then power draw does add to the value of the GPU.
  12. Operating temperature does not indicate anything about how much heat the GPU is outputting. If anything, the cooler has to work harder on a card that generates more heat to achieve the same temperature, which the fan noise charts indicate. Besides that, GPUs will operate as fast as they can before temperatures get too hot.
  13. 60Hz, theoretically. Otherwise it'll probably be 30Hz
  14. Keep in mind that while Threadripper is a 16C/32T part, it's also a 2 node NUMA part (likewise Epyc is a 4 node NUMA part). So if you want to make the most out of Threadripper's performance, you need applications that aren't memory performance sensitive or at least, are NUMA aware.