![]() ![]() Don't try and blame me if you break something when acting upon my advice. Ti | Fractal Design Core 1500 | Corsair CX450MĬore i5-4590 | Intel Stock Cooler | Gigabyte GA-H97N-WIFI | HyperX Savage 2x4GB DDR3 | Seagate 500GB | Intel Integrated HD Graphics | Fractal Design Arc Mini R2 | be quiet! Pure Power L8 350W quality 7.1) | VRMark 7,004 (VR Ready)Ĭore i3-6100 | CM Hyper 212 EVO | MSI H110M ECO | Corsair Vengeance LPX 1x8GB DDR4 | ADATA SP550 120GB | Seagate 500GB | EVGA ACX 2. Project White Lightning (My ITX Gaming PC): Core i5-4690K | CRYORIG H5 Ultimate | ASUS Maximus VII Impact | HyperX Savage 2x8GB DDR3 | Samsung 850 EVO 250GB | WD Black 1TB | Sapphire RX 480 8GB NITRO+ OC | Phanteks Enthoo EVOLV ITX | Corsair AX760 | LG 29UM67 | CM Storm Quickfire Ultimate | Logitech G502 Proteus Spectrum | HyperX Cloud II | Logitech Z333īenchmark Results: 3DMark Firestrike: 10,528 | SteamVR VR Ready (avg. FP64 64-bit (Double Precision) Floating Point Calculations Many applications require higher-accuracy mathematical calculations. While the Pascal GTX Titan X will offer best in class gaming performance when it launches, it will still come in at an eye-watering price of $1200 and leave the budget FP64 compute crowd without the "old style" Titan of their dreams. Now Nvidia has confirmed that the Pascal GTX Titan X will not feature increased FP64 and FP16 rates over GP104, making the Titan X an Ultra-powerful Gaming GPU and nothing more. With the release of the Maxwell Titan X that changed, with the Titan X having the same Double precision compute scaling/ rates as their GTX Gaming counterparts, taking away the attractive budget compute properties of the Original GTX Titan. The original GTX Titan GPU had a unique characteristic that made it popular for more than just gaming, it had support for Double Precision, FP64, compute, allowing people to access some huge amounts of compute performance at a price that is much lower than Nvidia's Tesla or Quadro GPUs. If FP64 performance is truly important to you, Nvidia would likely suggest one of its Tesla boards.Nvidia Pascal Titan X will not feature faster FP64 or FP16 performance Incidentally, an upcoming Quadro card based on the same GPU shares this fate. For GTX Titan X however this is not an option since GM200 is not a high performance FP64 GPU, and as a result the card is riding only on its graphics and FP32 compute capabilities. In fact, so much is carried over that double-precision math is still specified at 1/32 the rate of FP32, even though GM200 is the Maxwell family’s big daddy. The other architectural elements are similar though each SMM is broken up into four blocks, with their own instruction buffer, warp scheduler and pair of dispatch units. Below are the specification of Nvidia's Pascal Titan X compared to their GTX 1080 and other Pascal powered GPUs. Machine learning performance (125 FP16 TFLOPS) is extremely impressive, but the 6,9 FP64 (double-precision) TFLOPS are also a huge deal. While the Pascal GTX Titan X will offer best in class gaming performance when it launches, it will still come in at an eye-watering price of 1200 and leave the budget FP64 compute crowd without the 'old style' Titan of their dreams. This is not a card voor gaming, but for compute. Comparing the performance profiles of the GTX 980 and Titan X shows that the Titan X leads by 36 which is broadly proportional to its improved hardware specs. Like the SMMs found in GM204, GM200 exposes 96KB of shared memory and 48KB of texture/L1 cache, doubling what it had in the GeForce GTX 750 Ti’s GM107. The new Titan V has both the highest FP64-performance as the best FP64/price ratio on a Nvidia GPU ever This is huge. Eight texture units per SMM add up to 192-with a base core clock rate of 1000MHz, that’s 192 GTex/s (the original GeForce GTX Titan was rated at 188, despite its higher texture unit count). While GTX Titan X sees a better than average 41 performance increase over the GTX 980 (owing to its ability to stay at its max boost clock on this benchmark) it’s not enough to dethrone the. Multiply out the 128 CUDA cores per SMM and you get GeForce GTX Titan X’s total of 3072. And with four Streaming Multiprocessors per GPC, that adds up to 24 SMMs across the GPU. For Tesla: K80 seems to have higher double precision flops For Titan X/1080ti: In terms of raw performance the titan x and 1080 ti have more flops per GPU. Instead of GM204’s four Graphics Processing Clusters, you get six. Like the GeForce GTX 980 and 970 we were introduced to last September, GM200 is based on Nvidia’s efficient Maxwell architecture. In short, the company says it sought to increase utilization of the SMM by reconfiguring its resources. For more information about the efficiency-oriented improvements Nvidia made to its Streaming Multiprocessor, check out the first page of GeForce GTX 750 Ti Review: Maxwell Adds Performance Using Less Power.
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