Hi Jochen,
I used your command from the other email to export this image. It took
50s (10s faster than yours), spending ~40s in the pixel pipeline (also
10s less than you). I used the opportunity to look at the System-usage
and I would say the GPU is not the bottleneck. When looking at nvtop
(linux program to monitor nvidia-gpu usage) the GPU was mostly running
idle. Disabling OpenCL only had minimal impact. As a result I would say
the CPU is what slows the export down. This is somewhat supported by the
measurements from Al using his 8-Core CPU. While for my System using
more cores doesn't scale that well: 1 core took 130s, 2 cores took 80s
and 4 cores (+Hyperthreading) still needed 48s.
The most expensive modules are the exposure 1+2 and tone curve 3. These
are the three modules with masks. When removing them the time is down to 6s.
Best regards,
Holger
On 12/17/19 12:02 AM, Аl Воgnеr wrote:
Am Mon, 16 Dec 2019 13:01:32 +0100
schrieb Holger Wünsche <[email protected]>:
Hi Jochen,
just looking at the numbers on Wikipedia [1] the RTX2060 Super has
approx 60% more computation power (GFLOPS) and double the memory
bandwidth. However I don't know if you would see speed improvements
using another GPU, because the bottleneck might be something else. If
you want you can send me (not per email ;) ) one of your images (and
xmp-file) and I export it on my computer (i7 6700k, RTX2060 (non
Super)) and measure the time it takes to export.
Others might know how to find the bottleneck and tell you what limits
your export times
Hi,
after searching a lot in the web I decided to buy a NVIDIA Corporation
TU116 [GeForce GTX 1660]. Note: the more expensive TI is not remarkable
faster, nearly the same speed, depends on the photo. I think this card
has the best price-value. If you are not adventurous with Linux, use
Nvidia and / or search for AMD and troubles. It doesn't help if you
read it will get better and what could be maybe. Note the differences
if you compare. At the end your system must work now and not maybe some
day, IMHO the cpu is not so important, if you compare the GPU.
Would be interested how long the RTX2060 takes with the bench-file.
Try to install the phoronix test suite to get compareable test-files
and do something like below:
You can download the bench-file here, but the phoronix suite contains
more test files to compare:
https://math.dartmouth.edu/~sarunas/bench_raw/
$ darktable-cli bench.srw bench.srw.xmp bench.jpg --core -d perf -d
opencl
...
0.147530 [opencl_init] device 0 `GeForce GTX 1660' has sm_20 support.
0.147660 [opencl_init] device 0 `GeForce GTX 1660' supports image sizes
of 32768 x 32768
0.147663 [opencl_init] device 0 `GeForce GTX 1660' allows GPU memory
allocations of up to 1485MB
[opencl_init] device 0: GeForce GTX 1660
GLOBAL_MEM_SIZE: 5942MB
MAX_WORK_GROUP_SIZE: 1024
MAX_WORK_ITEM_DIMENSIONS: 3
MAX_WORK_ITEM_SIZES: [ 1024 1024 64 ]
DRIVER_VERSION: 435.21
DEVICE_VERSION: OpenCL 1.2 CUDA
...
5,678742 [opencl_profiling] spent 2,4782 seconds totally in command
queue (with 0 events missing)
5,678749 [dev_process_export] pixel pipeline processing took 3,343 secs
(8,930 CPU)
[export_job] exported to `bench_02.jpg'
6,009675 [opencl_summary_statistics] device 'GeForce GTX 1660' (0): 551
out of 551 events were successful and 0 events lost
Here is the result of the cpu only, I use a Ryzen 3700X:
18,169530 [dev_process_export] pixel pipeline processing took 16,369
secs (230,259 CPU)
So using the GPU is about 5 times faster for me.
Read for more tests:
https://math.dartmouth.edu/~sarunas/darktable_bench.html
What I found out, that it is getting a lot more expensive, if you
want significant more speed, but I cannot give you an advice what do
use, if you want to spend less money. Ask always for people who use
this card really and don't talk about theory. There are a lot of
details. It didn't work for me out of the box, I had to install some
packages, which I had to guess. You have always to check which
operating system / graphics driver is needed. In my case I had to use
Ubuntu 19.10. Note this distro uses a very outdated exiv2-version as
discussed in another thread here.
Al
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