- #1440p the talos principle wallpaper how to#
- #1440p the talos principle wallpaper code#
- #1440p the talos principle wallpaper Pc#
- #1440p the talos principle wallpaper license#
GTX 580 actually holds up decently here, delivering 32fps at 1440p, however GTX Titan X offers 3 times the performance, and more still in VRAM limited situations, showcasing how far ahead Big Maxwell is over Big Fermi over 4 years later. Meanwhile since I haven’t had a chance yet to address how GTX Titan X compares to NVIDIA’s flagship Fermi card, GTX 580, this is a good time. Compared to the GTX 980 this is another 35% performance advantage, though the lead over the GK110 cards is a bit smaller than normal at 40% and 47% for the GTX 780 Ti and GTX Titan respectively. Coupled with the use of 4x MSAA at Ultra quality, and even a tranquil puzzle game like Talos can make a good case for more powerful video cards.Īt 4K Ultra quality the GTX Titan X won’t quite break 60fps, but at 53.4fps it’s not too far off. I had it on my mobile phone but not on the pc.Croteam’s first person puzzle and exploration game The Talos Principle may not involve much action, but the game’s lush environments still put even fast video cards to good use.
#1440p the talos principle wallpaper how to#
It would be interesting to see physics engine programmers from different programming groups debate with each other on how to solve problems.
#1440p the talos principle wallpaper code#
In all honesty, i have no knowledge of all possible integer simd and floating point simd instructions or how the physx code works. The programmer of physx 3.4 explained that there is not that much simd code present in physx because they do a lot of logic testing and branches that cannot be converted to simd operations. The web blog of one of the physx progammers is very enlightning. Of course there is always a way to program around high latency by pre-fetching but sometimes it is impossible to know what is up ahead to calculate. Because here the latency is lowest when using zero-copy and because no system bus is functioning.
I think the HSA model is the best way to combine cpu scalar operations together with gpu simd operations. That would be a better explanation about the gpu always having some resources available as long as the simd units are independent and can execute different instructions for the async compute job and the graphics shader calculations. Which is what async compute is all about. It is non stop calculating and frame times would be mainly determined by the gpu.īut it is possible that the needed graphic calculations do not fill up all the available simd units and some units could be allocated in between. Because when the system struggles to stay at 60fps, how can the gpu have idle moments when the gpu is the bottle neck.
#1440p the talos principle wallpaper license#
It says here clearly, free of use commercially and non commercially with no license fee or royalties.Ĭlick to expand.Well, that strikes me as odd that the gpu is idle. AVX is better than SSE2 anyway because of the distinct source and destination registers format. Maybe the custom scorpio jaguars are modified for improved AVX throughput. The console world benefits from that, and is easy market as well for the Physx programmers. So, i can understand that the Physx programmers would use that. That makes me wonder, the AMD jaguars have SSE2 and AVX extensions. Also, now that even the most advanced gpu is pushed to its limits (again, previously with 1080p) with 4k rendering, i wonder how often the gpu still has free execution time for other async compute tasks.
#1440p the talos principle wallpaper Pc#
Now that the consoles have standard 8 cores and the pc is gaining in cores again, i can understand that physics on the cpu can be better. If i may believe wiki, it is available for everyone to use commercially and non commercially even though it is proprietary. WHich should be possible with independent physics calculations.
Physx has indeed been rewritten so highly likely a concurrent programming style is used with as few mutex as possible. It is indeed multithreaded so should take good advantage of multicore processors.
The latest Physx 3.4 seems very promising, making use of SSE2 and AVX when available when running on the cpu and not using cuda. Click to expand.I had to read up on that.
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