Maxwell provides native shared memory atomic operations for 32-bit integers and native shared memory 32-bit and 64-bit compare-and-swap (CAS), which can be used to implement other atomic functions.
Dynamic Parallelism and HyperQ, two features in GK110/GK208 GPUs, are also supported across the entire Maxwell product line. GM107 supports CUDA Compute Capability 5.0 compared to 3.5 on GK110/GK208 GPUs and 3.0 on GK10x GPUs. Also, each Graphics Processing Cluster, or GPC, contains up to 4 SMX units in Kepler, and up to 5 SMM units in first generation Maxwell. Nvidia claims a 128 CUDA core SMM has 86% of the performance of a 192 CUDA core SMX. SMM allows for a finer-grain allocation of resources than SMX, saving power when the workload isn't optimal for shared resources. Texture units and FP64 CUDA cores are still shared. These units are connected by a crossbar that uses power to allow the resources to be shared. This is in contrast to Kepler, where each SMX has 4 schedulers that schedule to a shared pool of 6 sets of 32 FP32 CUDA cores, 2 sets of 16 load/store units, and 2 sets of 16 special function units. The layout of SMM units is partitioned so that each of the 4 warp schedulers in an SMM controls 1 set of 32 FP32 CUDA cores, 1 set of 8 load/store units, and 1 set of 8 special function units. The structure of the warp scheduler is inherited from Kepler, which allows each scheduler to issue up to two instructions that are independent from each other and are in order from the same warp. Nvidia also changed the streaming multiprocessor design from that of Kepler (SMX), naming it SMM. Accordingly, Nvidia cut the memory bus from 192 bit on GK106 to 128 bit on GM107, further saving power. Nvidia increased the amount of L2 cache from 256 KiB on GK107 to 2 MiB on GM107, reducing the memory bandwidth needed. These new chips provide few consumer-facing additional features Nvidia instead focused on power efficiency. Computational only.Main article: Maxwell (microarchitecture) First generation Maxwell (GM10x) įirst generation Maxwell GM107/GM108 were released as GeForce GTX 745, GTX 750/750 Ti and GTX 850M/860M (GM107) and GT 830M/840M (GM108). That being said, FP64 is likely used for the reasons mentioned above. I wonder if you can modify ampere to become a workstation card.
Maybe if that video card had ECC VRAM, the performance or accuracy would of improved (for 3D rendering) but I can't confirm. The other point to this debate is the lack of ECC VRAM on the GTX 780 / consumer card. Remember that the GTX Titan was also a similar chip (GK110- 400) but had the "Titan driver" to unlock FP64 performance. However, I mention this because this is still common practice (soft limit performance) to keep workstation cards at a higher price. Ultimately, it was better to leave the card as a 780. I hoped it would improve performance in 3D rendering based applications but I was wrong. I don't recall if we modified the vBIOS but I do recall the system read the card as a Tesla/Quadro. NVIDIA Quadro K6000 Specs - FP64 (double) performance 1.732 TFLOPS (1:3).NVIDIA GeForce GTX 780 Specs - FP64 (double) performance 173.2 GFLOPS (1:24).
NVIDIA Tesla K20c Specs - FP64 (double) performance1,175 GFLOPS (1:3).Which theoretically unlocked FP64 performance.
#Gtx 760 fp64 performance install
It altered how the card read itself and we were able to install a driver to make the system believe it was a Tesla K20 but it may have been a Quadro (k6000). It's been a while so I don't recall the details. With that card, my brother used a graphite pencil and I believe connected two resistors. Headless works, but is a significant downgrade in usability.Īlso enabling ECC cost me about 5% game performance so I turned it off.
#Gtx 760 fp64 performance windows
Newer windows 20h1, 20h2 should do a decent job of assigning the appropriate gpu for the task and you can override w10s gpu choice if you right click to display settings then scroll down to graphics settings and select your program or app to override. You also lose normal nvida control panel functionality with no attached display.īut I see you have an igpu so you could just plug your video out cable into your mobo and see what it would be like to run a headless 3090 in no time flat. These limitations are very hardware specific and results can vary a bunch even with different monitors. No tearing, no stutters, just that I have to deal with the limitations of all of the links in the chain. I'm running a tesla m40 through an intel igpu and, just for an example of the mysteries you will encounter, I'm running it at 1440p57. Click to expand.Neat to try, but many headaches.
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