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02-01-2021, 12:00 AM #1
Post Processing, openCL, and your computer hardware
I've recently been reading about a framework called "OpenCL" which is software on a computer that lets
your computer use the memory and compute power on your graphics card. Why do that?
Well a graphics card is a lot faster than a CPU at math! Representing graphics and some of these games require
millions of math calculations. I have a Ryzen 2600 cpu that's overclocked to 4GHZ, DDR4 RAM running at 3200 mhz
and a mid range graphics card (AMD RX 570 with 4GB of GDDR5 ram).
I have a benchmark called "clpeak" that shows how well the CPU and GPU do math:
GPU"
Platform: AMD Accelerated Parallel Processing
Device: gfx803
Driver version : 3212.0 (HSA1.1,LC) (Linux x64)
Compute units : 32
Clock frequency : 1280 MHz
Global memory bandwidth (GBPS)
float : 171.47
float2 : 166.89
float4 : 168.08
float8 : 168.09
float16 : 75.21
Single-precision compute (GFLOPS)
float : 5278.92
float2 : 5225.89
float4 : 5163.39
float8 : 5055.43
float16 : 4981.63
Platform: Portable Computing Language
Device: pthread-AMD Ryzen 5 2600 Six-Core Processor
Driver version : 1.5 (Linux x64)
Compute units : 12
Clock frequency : 3989 MHz
48 warnings generated.
Global memory bandwidth (GBPS)
float : 31.95
float2 : 38.94
float4 : 36.29
float8 : 30.67
float16 : 25.03
Single-precision compute (GFLOPS)
float : 12.47
float2 : 24.80
float4 : 49.45
float8 : 85.08
float16 : 19.94
Well I was curious about what software uses OpenCL, and found that most post processing software does!
Before I go further, I am using Fedora Linux on my computer, and not Windows or a Mac. I am not sure if those
platforms support OpenCL, but I imagine they do.
I have started using darktable, and there's a way to run it from the command line to see profiling/performance info:
darktable -d opencl -d perf
Starting darktable at the command line prints a lot of stuff:
0.052982 [opencl_init] found opencl runtime library '/opt/rocm/lib/libOpenCL.so'
0.052997 [opencl_init] opencl library '/opt/rocm/lib/libOpenCL.so' found on your system and loaded
0.086635 [opencl_init] found 1 platform
0.086648 [opencl_init] found 1 device
0.086669 [opencl_init] device 0 `gfx803' supports image sizes of 16384 x 16384
0.086674 [opencl_init] device 0 `gfx803' allows GPU memory allocations of up to 3481MB
[opencl_init] device 0: gfx803
GLOBAL_MEM_SIZE: 4096MB
MAX_WORK_GROUP_SIZE: 256
MAX_WORK_ITEM_DIMENSIONS: 3
MAX_WORK_ITEM_SIZES: [ 1024 1024 1024 ]
DRIVER_VERSION: 3212.0 (HSA1.1,LC)
DEVICE_VERSION: OpenCL 1.2
Further in the output, we can see if it's using the CPU or the GPU (graphics card). It prints all the things it does.
Here is a photo export:
48.303760 [dev] took 0.000 secs (0.000 CPU) to load the image.
48.345436 [export] creating pixelpipe took 0.037 secs (0.053 CPU)
48.345461 [pixelpipe_process] [export] using device 0
48.345489 [dev_pixelpipe] took 0.000 secs (0.000 CPU) initing base buffer [export]
48.356296 [dev_pixelpipe] took 0.011 secs (0.007 CPU) processed `raw black/white point' on GPU, blended on GPU [export]
48.359516 [dev_pixelpipe] took 0.003 secs (0.000 CPU) processed `white balance' on GPU, blended on GPU [export]
48.363161 [dev_pixelpipe] took 0.004 secs (0.000 CPU) processed `highlight reconstruction' on GPU, blended on GPU [export]
48.379319 [dev_pixelpipe] took 0.016 secs (0.007 CPU) processed `demosaic' on GPU, blended on GPU [export]
48.391465 [dev_pixelpipe] took 0.012 secs (0.008 CPU) processed `base curve' on GPU, blended on GPU [export]
48.403628 [dev_pixelpipe] took 0.012 secs (0.005 CPU) processed `input color profile' on GPU, blended on GPU [export]
image colorspace transform Lab-->RGB took 0.002 secs (0.002 GPU) [filmicrgb ]
53.199572 [dev_pixelpipe] took 4.796 secs (1.049 CPU) processed `filmic rgb' on GPU, blended on GPU [export]
image colorspace transform RGB-->Lab took 0.002 secs (0.003 GPU) [colorcorrection ]
53.267203 [dev_pixelpipe] took 0.068 secs (0.021 CPU) processed `color correction' on GPU, blended on GPU [export]
53.316746 [dev_pixelpipe] took 0.050 secs (0.015 CPU) processed `sharpen' on GPU, blended on GPU [export]
53.350306 [dev_pixelpipe] took 0.034 secs (0.010 CPU) processed `output color profile' on GPU, blended on GPU [export]
53.498589 [dev_pixelpipe] took 0.148 secs (0.579 CPU) processed `display encoding' on CPU, blended on CPU [export]
could make post processing a lot faster!
› See More: Post Processing, openCL, and your computer hardwareBeegRhob Thanks/liked this post
- 02-01-2021, 12:00 AM
02-01-2021, 01:31 PM #2Re: Post Processing, openCL, and your computer hardware
The graphics in my computer which came over on the Mayflower, doesn't support openCL. It is something I will consider going forward.
02-01-2021, 04:55 PM #3Re: Post Processing, openCL, and your computer hardware
D7500 / D7100 / N6006 / Nikon AF-S 35mm / Nikon AF 50mm / Sigma 17-50mm / Nikon AF-P FX 70-300mm / Tokina 11-16mm / Sigma C 150-600mm / Sigma A 50-100mm / Nikon AF-S 105mm Micro
02-01-2021, 04:55 PM
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