![]() The other potential thought provoking thing is that if they DO release a 980 Ti (full GM200 GTX) at the same time as the Titan X that means that they have something else in the pipeline that might make an appearance late in the year. If not, then maybe it will be a few months until it gets announced. If it beats the 980, then suddenly the 985 will be announced. Personally I think they will not announce a new GTX at GTC (too many similar 3 letter names … ) but will wait to see what the 390 is like. It also is not something unusual, since nvidia did the same thing with the 680->780->780 Ti on Kepler, so while the timescales are different (due to the timing of the Titan X more than anything) the principle is there. In a couple of months time it can be assumed that the 390 will overtake the 980, so needing a fight back that is not needing a full Titan X is something very appealing. Nvidia could do with something to compete against the 390 when it appears, and having a card that can make use of the chips with a couple of SMs broken is an easy way of upping ‘yield’. The notion of a cut down GM200 GTX however is relatively appealing relatively soon. It doesn’t make much sense to undermine the Titan X sales with a card that generally will be as powerful (potential DP and memory aside). I doubt we will see a full GM200 GTX until late Q2 at the earliest (unless nvidia need to reply to the 390 with something drastic). See the recent thread on compensated operations for literature references:īut compensated algorithms apply only to some primitives, and require analysis as to where they need to be used. Why did I state that the switchover vs native-double is about 1:24 ratio? Because the code bloat caused by double-single also has some negative impact on performance: more registers used, instruction cache hit rate may decline, possible divergence, more difficult for the compiler to optimize.Īs you point out, compensated operations (sums, products, dot products, polynomials) often can provide some (or even most) of the benefit of double-native implementations at an attractive fraction of the cost. I have not worked through the details of any double-native operations beyond that. I do not offhand recall the cost of division, sqrt, rsqrt. ![]() If memory serves, with FMA support a double-single multiplication is only about 8 instructions, while addition/subtraction are about 20. In other words, they fail the programmer precisely in those situations where improved accuracy is needed. A bunch of double-single code out there takes shortcuts in addition/subtraction, leading to low-accuracy results when the operands are close in magnitude, but of opposite sign, i.e. These processors are implied in the Kepler's power efficiency when the GPU is using one unified clock speed.For high-quality double-single based on FMA the addition/subtraction is actually more expensive than the multiplication. It is able to control antialiasing with the merge of several sample into one pixel. The result will be a depth value or a final pixel. This hadware component is taking pixel and texel information, and processing it through vector and matrix operations. The other name of this unit is raster operations pipeline. It is able to distort a bitmap image, and also to resize it, to rotate it and to place it as a texture onto a plane of a specific 3D model. This unit was a physical processor separated from the main graphics processing units. You should refer to the respective online stores for the latest price, as well as availability. This is why we prefer for the moment not to show a price. Price: For technical reasons, we cannot currently display a price less than 24 hours, or a real-time price.
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