![]() As a result you end up limited to doing 64-bit math "the hard way" in 32-bit registers. There is evidence that FP64 performance on "gaming" cards is crippled due to having very few or no FP64 capable units. Out of preference a vector processor just wants a stream of "run this simple code against this huge array" and a lot of repeated runs on one piece of data quickly eats up bandwidth and processor cores. Being a single-slot card, the NVIDIA Quadro M4000 draws power from 1x 6-pin power connector, with power draw rated at 120 W maximum. Comparison between Nvidia Quadro K6000 and Nvidia GeForce RTX 2080 Ti with the specifications of the graphics cards, the number of execution units, shading units, cache memory, also the performance in benchmark platforms such as Geekbench or Antutu. The whole point in vector processors is that they work on streams of instructions and data and even in a GPU with massive bandwidth memory access is expensive, especially as your data has a dependency on previous parts of the calculation. Device: 10DE 103A Model: NVIDIA Quadro K6000 Poor: 39 Average: 43. There is a lot of additional math involved because you can't do a simple "add these two registers together" but instead have to do the math the long way around.įrom Stack Overflow Multiplying 64-bit number by a 32-bit number in 8086 asmįor the final code (with merging) you'd end up with 8 MUL instructions, 3 ADD instructions and about 7 ADC instructions. SPEED RANK: 130 th / 701 1,082,454 User Benchmarks Best Bench: 110 Zotac (19DA 0426) Worst Bench: 93 EVGA (3842 6183) SPEED RANK: 52 nd / 701 Average Score +124 Overclocked Score +137 Value & Sentiment +4,365 Market Share Based on 61,721,009 GPUs tested. Average Bench: 43.7 (130 th of 701) Based on 1,173 user benchmarks. Doing 64-bit floating point math in 32-bit registers is workable, but it is far from a simple halving due to being double width. Based on 1,978 user benchmarks for the Nvidia Quadro K6000 and the Quadro P6000, we rank them both on effective speed and value for money against the best 701 GPUs. There would be additional load/stores and bytes needed to handle overflow which might use more registers. Does this 4000 card have what it takes to displace Nvidia's Quadro K6000, or is it a. On the other hand multiplying 64-bit values would require either 4 registers (two 64-bit values split into 32-bit parts each) or memory load/stores between doing the lower 32-bit and then the higher 32-bit of the 64-bit value. published AMD's Hawaii GPU makes its appearance in the workstation space as FirePro W9100. ![]() Probably because the default register size within the units is 32-bits.Ī 32-bit register can hold two 16-bit values that can be multiplied across resulting in a doubling of performance. Theoretical Performance Pixel Rate, 54.12 GPixel/s Texture Rate, 216.5 GTexel/s FP32 (float) performance, 5.196 TFLOPS FP64 (double) performance, 1.732.
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