On 07/28/2013 12:09 PM, Pedro wrote:
Hi Michael, all
Michael Meeks-2 wrote
There are very significant optimisations for the software only core
that will make very much faster even if you have no GPU, we hope they
will also make it use very much less memory too for 4.2 - but that work
I was kind of hoping that some of that code was already included in the
current master :)
After a brief test with the newest build (Version: 126.96.36.199.alpha0+
Build ID: 8b96cfd6caedbad7b3b79e57421a834f18c5c511
TinderBox: Win-x86@6-debug, Branch:master, Time: 2013-07-27_22:47:00)
I quickly found out that it is not so.
I tested on my home nettop (a Nvidia ION based system with a 2Cores x 2
Threads Intel Atom 330 which supports OpenCL and CUDA according to
TechPowerUp's GPU-Z v0.7.2)
BTW why are there only Debug daily versions available for Windows? Was this
a change of plans or is it just a coincidence?
Are Debug builds slower (less efficient) than non-debug?
I have a question about this. . .
With the "GPU" computing power concept, will there be a GPU powered
version and non-GPU powered version or with there be one version that
will look to see if the system has a "compatible" GPU processor and use
it when available?
What little I have dealt with GPU-based computing, I have only seen
packages that either use GPU "only" [or as much as possible], or CPU
processing. I have never seen a package that looks at the system and
decided what type of processor to use. As far as I was told, you must
"compile" your code for GPU processing or for CPU processing. Well,
that was what I was told when I was dealing with some "number crunching"
packages. They offered the CPU version, the CUDA-GPU version, and the
API-GPU version, as the different versions for their "crunching" packages.
So,it seem to me if we make LO run on the GPU, then it would be a
different version than running it on the system's CPU. Of course, that
does not take into account any OS option that runs its system on a
GPU-based system and is acting as the "shell" to allow non-GPU packages
to run on a GPU.
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