- May 11, 2008
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I have been reading this article. And these people know what they are talking about.
The Case for ECC memory in Nvidia's next gpu
I know that there are a lot of rounding errors made in the graphical output for games. Simply because there is no need to have the accuracy when the image itself does not even look photorealistic. I was amazed by this text in the article :
I always assumed gpu's where calculation beasts. That was with single precision calculations. Now it seems al to obvious to me. Larrabee is just an experiment for the end result. A minimal 8 core nehalem with vector capabilities. My guess the end result is a larrabee like chip but with nehalem like cores and not the atom derivates the first incarnation of larrabee has. As we all know by now Nvidia is building a gfx chip with ECC called fermi. I am sure this ECC is selectable and can be left out for the cheaper gfx cards for the home user that do not need the reliability.
Here is another article about the calculation power of the various gpu's/cpu's.
Computational Efficiency in Modern Processors
If i see those numbers on the AMD RV770, i wonder if AMD also will make a gpu with ECC capabilities like Nvidia is doing. Then we might be surprised by amd presenting a gpgpu that meets the specifications of the High power computer world. AMD processors are widely used in the server world. They might as well make an x86/ATI type rack just as the cell blades from IBM.
On a side note. What is NASA using for the calculations of the data coming from this telescope :
Fermi Gamma-ray Space Telescope.
The Case for ECC memory in Nvidia's next gpu
I know that there are a lot of rounding errors made in the graphical output for games. Simply because there is no need to have the accuracy when the image itself does not even look photorealistic. I was amazed by this text in the article :
For double precision, a GT200 or GT200b is only 65% or 88% faster than Nehalem ? computing the results twice would make the GPU slower than a standard CPU.
I always assumed gpu's where calculation beasts. That was with single precision calculations. Now it seems al to obvious to me. Larrabee is just an experiment for the end result. A minimal 8 core nehalem with vector capabilities. My guess the end result is a larrabee like chip but with nehalem like cores and not the atom derivates the first incarnation of larrabee has. As we all know by now Nvidia is building a gfx chip with ECC called fermi. I am sure this ECC is selectable and can be left out for the cheaper gfx cards for the home user that do not need the reliability.
Here is another article about the calculation power of the various gpu's/cpu's.
Computational Efficiency in Modern Processors
GPUs of today are monstrously powerful compute devices for explicit and embarrassingly parallel workloads. They are multi-core processors with 10 (AMD) to 30 (Nvidia) cores per GPU, and each core executes extremely wide vectors. The Nvidia GT200 is capable of 933 or 622 GFLOP/s single precision (SP), depending on how you count, and 77 GFLOP/s double precision (DP). The competing AMD RV770 can execute up to 1.2 SP TFLOP/s and 240 DP GFLOP/s. In contrast, a high-end CPU like Nehalem can achieve roughly 102 GFLOP/s and 51 GFLOP/s for single and double precision respectively.
If i see those numbers on the AMD RV770, i wonder if AMD also will make a gpu with ECC capabilities like Nvidia is doing. Then we might be surprised by amd presenting a gpgpu that meets the specifications of the High power computer world. AMD processors are widely used in the server world. They might as well make an x86/ATI type rack just as the cell blades from IBM.
On a side note. What is NASA using for the calculations of the data coming from this telescope :
Fermi Gamma-ray Space Telescope.