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William:

--- Quote from: _heinz on 07 Mar 2013, 05:09:52 am ---
--- Quote from: Mike on 03 Mar 2013, 04:54:30 am ---I`m not surprised at all.
It was similar with Tesla back then.

--- End quote ---
Looks like a complete redesign of the app is necessary to use Tesla`s and Titan`s properties optimal.

_heinz

--- End quote ---
Everyone knows the answer is 42.

To paraphrase Jason, He's pretty pleased that his code scales so well on new architecture. There's still a lot of optimisation potential left.
Currently the Titans underperform (when you compare to e.g. a 690) by about 30% - IOW from the specs you would expect some 30% more speed.
According to Jason, drivers for new cards take a year or so to mature - in that time there's quite a bit of speed improvement (from our POV), so I'd expect when the drivers are good, the Titans scale according to their specs. Still a lot of potential left and a lot of stuff to explore.

To me, looks like the wrong bandwagon to jump on.

Mike:
I totally agree William.

_heinz:

--- Quote from: William on 08 Mar 2013, 02:36:42 pm ---
--- Quote from: _heinz on 07 Mar 2013, 05:09:52 am ---
--- Quote from: Mike on 03 Mar 2013, 04:54:30 am ---I`m not surprised at all.
It was similar with Tesla back then.

--- End quote ---
Looks like a complete redesign of the app is necessary to use Tesla`s and Titan`s properties optimal.

_heinz

--- End quote ---
Everyone knows the answer is 42.

 Still a lot of potential left and a lot of stuff to explore.


--- End quote ---
I know-->42  ;D
greetings

_heinz
edit:
passed 500Mio_total today
last month credit go's up to 200Mio_distrrtgen_total

_heinz:
driver 314.21:
17.03.2013 15:42:01 |  | CUDA: NVIDIA GPU 0: GeForce GTX TITAN (driver version 314.21, CUDA version 5.0, compute capability 3.5, 4096MB, 4096MB available, 4989 GFLOPS peak)
17.03.2013 15:42:01 |  | CUDA: NVIDIA GPU 1: GeForce GTX TITAN (driver version 314.21, CUDA version 5.0, compute capability 3.5, 4096MB, 4096MB available, 4989 GFLOPS peak)
17.03.2013 15:42:01 |  | CUDA: NVIDIA GPU 2: GeForce GTX 570 (driver version 314.21, CUDA version 5.0, compute capability 2.0, 1280MB, 1178MB available, 1405 GFLOPS peak)
17.03.2013 15:42:01 |  | OpenCL: NVIDIA GPU 0: GeForce GTX TITAN (driver version 314.21, device version OpenCL 1.1 CUDA, 6144MB, 4096MB available, 4989 GFLOPS peak)
17.03.2013 15:42:01 |  | OpenCL: NVIDIA GPU 1: GeForce GTX TITAN (driver version 314.21, device version OpenCL 1.1 CUDA, 6144MB, 4096MB available, 4989 GFLOPS peak)
17.03.2013 15:42:01 |  | OpenCL: NVIDIA GPU 2: GeForce GTX 570 (driver version 314.21, device version OpenCL 1.1 CUDA, 1280MB, 1178MB available, 1405 GFLOPS peak)
17.03.2013 15:42:01 | DistrRTgen | Found app_info.xml; using anonymous platform
17.03.2013 15:42:01 |  | Config: simulate 8 CPUs
17.03.2013 15:42:01 |  | Config: use all coprocessors
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
no news, machine running standard frequency produced continous ~ 2,1 Mio/day as before

_heinz:
After testing and running Zdenek's compiled app CC2.0 for GTX570 and Titan daily output increased up to 4,3 Mio/day on 2013-03-28  ;D
first step is done.
_heinz

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