Well, that depends on the OpenCL platforms made available by the various "vendors".
On my 2017 15-inch MacBook Pro QC i7 the only available platform is by Apple, counting 4 devices:
- the Intel QC i7 CPU
- the integrated Intel HD Graphics 630
- the additional AMD Radeon Pro 630
- and the eGPU NVidia GeForce GTX 1080Ti
This info comes from running the OpenCLInfo example from the OpenCL Programming Guide. So, it appears that there are no separate platforms by AMD and NVidia.
It's barely work with my MBP 2017 15" touchbar + aorus gaming box 1080
I installed nvidia web driver, and I installed NVDEGsupport
but I don't see NVDEGsupport.kext in extension.
however I put fitHeadlessHDMI and use internal MacBook screen as using mirror,
Unigine Valley benchmark shows that only got 30fps avg on 1920x1080x8AA ultra, Score about 2xxx, which is 40-50% dropped compare to regular windows computer that show on another review of gaming box 1080.
what can I do to boost performance of gaming box?
Well, that depends on the OpenCL platforms made available by the various "vendors".
On my 2017 15-inch MacBook Pro QC i7 the only available platform is by Apple, counting 4 devices:
- the Intel QC i7 CPU
- the integrated Intel HD Graphics 630
- the additional AMD Radeon Pro 630
- and the eGPU NVidia GeForce GTX 1080Ti
This info comes from running the OpenCLInfo example from the OpenCL Programming Guide. So, it appears that there are no separate platforms by AMD and NVidia.
Thank you, @hkoster1. Could I bother you by asking what eGPU enclosure you are using, and what your config is like (MacOS, nvidia drivers, eGPU setup)? I am trying to figure out if my problem is one of configuration (it probably is) or if it is my older MBP (doubtful). I really want to get to the bottom of this... and get cracking with OpenCL by getting a GTX 1080 Ti too, but I won't buy it until it works with the GTX 960.
If you want to discuss this off-forum until we find a solution for my setup, my email address is j.navarro@ieee.org
So let me ask it differently: has anyone managed to run OpenCL on an eGPU?
I mean from a Mac over Thunderbolt.
And, if so, what does clinfo say?
If you can give me some details on how/what to use to test OpenCL I'd be more than happy to play around and see if i can get things working reliably.
So let me ask it differently: has anyone managed to run OpenCL on an eGPU?
I mean from a Mac over Thunderbolt.
And, if so, what does clinfo say?
If you can give me some details on how/what to use to test OpenCL I'd be more than happy to play around and see if i can get things working reliably.
That would be great, @ricosuave0922, thank you. clinfo can be obtained from
https://github.com/Oblomov/clinfo/archive/master.zip
and it compiles and runs right away for me.
CLInfo
Number of platforms 1
Platform Name Apple
Platform Vendor Apple
Platform Version OpenCL 1.2 (Oct 31 2017 18:19:43)
Platform Profile FULL_PROFILE
Platform Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event
Platform Name Apple
Number of devices 4
Device Name Intel(R) Core(TM) i7-7920HQ CPU @ 3.10GHz
Device Vendor Intel
Device Vendor ID 0xffffffff
Device Version OpenCL 1.2
Driver Version 1.1
Device OpenCL C Version OpenCL C 1.2
Device Type CPU
Device Available Yes
Device Profile FULL_PROFILE
Max compute units 8
Max clock frequency 3100MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types None
Max work item dimensions 3
Max work item sizes 1024x1x1
Max work group size 1024
Compiler Available Yes
Linker Available Yes
Preferred work group size multiple 1
Preferred / native vector sizes
char 16 / 16
short 8 / 8
int 4 / 4
long 2 / 2
half 0 / 0 (n/a)
float 4 / 4
double 2 / 2 (cl_khr_fp64)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Address bits 64, Little-Endian
Global memory size 17179869184 (16GiB)
Error Correction support No
Max memory allocation 4294967296 (4GiB)
Unified memory for Host and Device Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type Read/Write
Global Memory cache size 64
Global Memory cache line size 8388608 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 1 bytes
Pitch alignment for 2D image buffers 1 pixels
Max 2D image size 8192x8192 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Global
Local memory size 32768 (32KiB)
Max constant buffer size 65536 (64KiB)
Max number of constant args 8
Max size of kernel argument 4096 (4KiB)
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 1ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_image2d_from_buffer cl_APPLE_fp64_basic_ops cl_APPLE_fixed_alpha_channel_orders cl_APPLE_biased_fixed_point_image_formats cl_APPLE_command_queue_priority
Device Name Intel(R) HD Graphics 630
Device Vendor Intel Inc.
Device Vendor ID 0x1024500
Device Version OpenCL 1.2
Driver Version 1.2(Nov 9 2017 18:56:54)
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Available Yes
Device Profile FULL_PROFILE
Max compute units 24
Max clock frequency 1100MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types None
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Compiler Available Yes
Linker Available Yes
Preferred work group size multiple 32
Preferred / native vector sizes
char 1 / 1
short 1 / 1
int 1 / 1
long 1 / 1
half 0 / 0 (n/a)
float 1 / 1
double 0 / 0 (n/a)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (n/a)
Address bits 64, Little-Endian
Global memory size 1610612736 (1.5GiB)
Error Correction support No
Max memory allocation 402653184 (384MiB)
Unified memory for Host and Device Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type None
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 25165824 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 4 bytes
Pitch alignment for 2D image buffers 32 pixels
Max 2D image size 16384x16384 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Local
Local memory size 65536 (64KiB)
Max constant buffer size 65536 (64KiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 80ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_image2d_from_buffer cl_khr_gl_depth_images cl_khr_depth_images cl_khr_3d_image_writes
Device Name AMD Radeon Pro 560 Compute Engine
Device Vendor AMD
Device Vendor ID 0x1021c00
Device Version OpenCL 1.2
Driver Version 1.2 (Nov 9 2017 18:48:40)
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Available Yes
Device Profile FULL_PROFILE
Max compute units 16
Max clock frequency 907MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types None
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Compiler Available Yes
Linker Available Yes
Preferred work group size multiple 64
Preferred / native vector sizes
char 4 / 4
short 2 / 2
int 1 / 1
long 1 / 1
half 0 / 0 (n/a)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Address bits 32, Little-Endian
Global memory size 4294967296 (4GiB)
Error Correction support No
Max memory allocation 1073741824 (1024MiB)
Unified memory for Host and Device No
Minimum alignment for any data type 128 bytes
Alignment of base address 32768 bits (4096 bytes)
Global Memory cache type None
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 256 bytes
Pitch alignment for 2D image buffers 256 pixels
Max 2D image size 16384x16384 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Local
Local memory size 32768 (32KiB)
Max constant buffer size 65536 (64KiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 40ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
printf() buffer size 134217728 (128MiB)
Built-in kernels
Device Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_image2d_from_buffer cl_khr_depth_images cl_APPLE_command_queue_priority cl_APPLE_command_queue_select_compute_units cl_khr_fp64
Device Name GeForce GTX 1080 Ti
Device Vendor NVIDIA
Device Vendor ID 0x1022700
Device Version OpenCL 1.2
Driver Version 10.29.10 378.10.10.10.25.102
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Available Yes
Device Profile FULL_PROFILE
Max compute units 28
Max clock frequency 1316MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types None
Max work item dimensions 3
Max work item sizes 1024x1024x64
Max work group size 1024
Compiler Available Yes
Linker Available Yes
Preferred work group size multiple 32
Preferred / native vector sizes
char 1 / 1
short 1 / 1
int 1 / 1
long 1 / 1
half 0 / 0 (n/a)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Address bits 64, Little-Endian
Global memory size 11811160064 (11GiB)
Error Correction support No
Max memory allocation 2952790016 (2.75GiB)
Unified memory for Host and Device No
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type None
Image support Yes
Max number of samplers per kernel 32
Max size for 1D images from buffer 134217728 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 0 bytes
Pitch alignment for 2D image buffers 32 pixels
Max 2D image size 32768x32768 pixels
Max 3D image size 16384x16384x2048 pixels
Max number of read image args 256
Max number of write image args 16
Local memory type Local
Local memory size 49152 (48KiB)
Max constant buffer size 65536 (64KiB)
Max number of constant args 8
Max size of kernel argument 4352 (4.25KiB)
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 1000ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
printf() buffer size 134217728 (128MiB)
Built-in kernels
Device Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event cl_khr_byte_addressable_store cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_APPLE_fp64_basic_ops cl_khr_fp64 cl_khr_3d_image_writes cl_khr_depth_images cl_khr_gl_depth_images cl_khr_gl_msaa_sharing cl_khr_image2d_from_buffer cl_APPLE_ycbcr_422 cl_APPLE_rgb_422
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Apple
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [P0]
clCreateContext(NULL, ...) [default] Success [P0]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (3)
Platform Name Apple
Device Name Intel(R) HD Graphics 630
Device Name AMD Radeon Pro 560 Compute Engine
Device Name GeForce GTX 1080 Ti
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) Success (1)
Platform Name Apple
Device Name Intel(R) Core(TM) i7-7920HQ CPU @ 3.10GHz
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (3)
Platform Name Apple
Device Name Intel(R) HD Graphics 630
Device Name AMD Radeon Pro 560 Compute Engine
Device Name GeForce GTX 1080 Ti
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) <checkNullCtxFromType:2444: create context from type CL_DEVICE_TYPE_CUSTOM : error -30>
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (4)
Platform Name Apple
Device Name Intel(R) HD Graphics 630
Device Name AMD Radeon Pro 560 Compute Engine
Device Name GeForce GTX 1080 Ti
Device Name Intel(R) Core(TM) i7-7920HQ CPU @ 3.10GHz
NOTE:your OpenCL library only supports OpenCL 1.0,
but some installed platforms support OpenCL 1.2.
Programs using 1.2 features may crash
or behave unexepectedly
logout
This is what I get:
% clinfo
Number of platforms 1
Platform Name Apple
Platform Vendor Apple
Platform Version OpenCL 1.2 (Oct 31 2017 18:19:43)
Platform Profile FULL_PROFILE
Platform Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event
Platform Name Apple
Number of devices 2
Device Name Intel(R) Core(TM) i7-2720QM CPU @ 2.20GHz
Device Vendor Intel
Device Vendor ID 0xffffffff
Device Version OpenCL 1.2
Driver Version 1.1
Device OpenCL C Version OpenCL C 1.2
Device Type CPU
Device Available Yes
Device Profile FULL_PROFILE
Max compute units 8
Max clock frequency 2200MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types None
Max work item dimensions 3
Max work item sizes 1024x1x1
Max work group size 1024
Compiler Available Yes
Linker Available Yes
Preferred work group size multiple 1
Preferred / native vector sizes
char 16 / 16
short 8 / 8
int 4 / 4
long 2 / 2
half 0 / 0 (n/a)
float 4 / 4
double 2 / 2 (cl_khr_fp64)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Address bits 64, Little-Endian
Global memory size 17179869184 (16GiB)
Error Correction support No
Max memory allocation 4294967296 (4GiB)
Unified memory for Host and Device Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type Read/Write
Global Memory cache size 64
Global Memory cache line size 6291456 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 1 bytes
Pitch alignment for 2D image buffers 1 pixels
Max 2D image size 8192x8192 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Global
Local memory size 32768 (32KiB)
Max constant buffer size 65536 (64KiB)
Max number of constant args 8
Max size of kernel argument 4096 (4KiB)
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 1ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_image2d_from_buffer cl_APPLE_fp64_basic_ops cl_APPLE_fixed_alpha_channel_orders cl_APPLE_biased_fixed_point_image_formats cl_APPLE_command_queue_priority
Device Name ATI Radeon HD 6750M
Device Vendor AMD
Device Vendor ID 0x1021b00
Device Version OpenCL 1.2
Driver Version 1.2 (Nov 9 2017 18:48:37)
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Available Yes
Device Profile FULL_PROFILE
Max compute units 6
Max clock frequency 600MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types None
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Compiler Available Yes
Linker Available Yes
Preferred work group size multiple 64
Preferred / native vector sizes
char 16 / 16
short 8 / 8
int 4 / 4
long 2 / 2
half 0 / 0 (n/a)
float 4 / 4
double 0 / 0 (n/a)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Double-precision Floating-point support (n/a)
Address bits 32, Little-Endian
Global memory size 1073741824 (1024MiB)
Error Correction support No
Max memory allocation 268435456 (256MiB)
Unified memory for Host and Device No
Minimum alignment for any data type 128 bytes
Alignment of base address 32768 bits (4096 bytes)
Global Memory cache type None
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 256 bytes
Pitch alignment for 2D image buffers 256 pixels
Max 2D image size 16384x16384 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Local
Local memory size 32768 (32KiB)
Max constant buffer size 65536 (64KiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 37ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
printf() buffer size 134217728 (128MiB)
Built-in kernels
Device Extensions cl_APPLE_SetMemObjectDestructor cl_APPLE_ContextLoggingFunctions cl_APPLE_clut cl_APPLE_query_kernel_names cl_APPLE_gl_sharing cl_khr_gl_event cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_image2d_from_buffer cl_khr_depth_images
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Apple
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [P0]
clCreateContext(NULL, ...) [default] Success [P0]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name Apple
Device Name ATI Radeon HD 6750M
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) Success (1)
Platform Name Apple
Device Name Intel(R) Core(TM) i7-2720QM CPU @ 2.20GHz
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name Apple
Device Name ATI Radeon HD 6750M
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) <checkNullCtxFromType:2444: create context from type CL_DEVICE_TYPE_CUSTOM : error -30>
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (2)
Platform Name Apple
Device Name ATI Radeon HD 6750M
Device Name Intel(R) Core(TM) i7-2720QM CPU @ 2.20GHz
NOTE: your OpenCL library only supports OpenCL 1.0,
but some installed platforms support OpenCL 1.2.
Programs using 1.2 features may crash
or behave unexepectedly
So let me ask it differently: has anyone managed to run OpenCL on an eGPU?
I mean from a Mac over Thunderbolt.
And, if so, what does clinfo say?
If you can give me some details on how/what to use to test OpenCL I'd be more than happy to play around and see if i can get things working reliably.
That would be great, @ricosuave0922, thank you. clinfo can be obtained from
https://github.com/Oblomov/clinfo/archive/master.zip
and it compiles and runs right away for me.
Looks like ive got the same result as @mbnwa. How do you have your monitors configured? Are you using headless adapter to accelerate internal screen or are you using external monitor? Which monitor is set as your default? etc.
@ricosuave0922: Here is my setup:
- early 2011 17″ MacBook-Pro HD6750M
- MacOS 10.13.2
- Akitio Thunder3 with modified power supply for the GTX 960
- Nvidia GTX 960
- HDMI display
I have run the setup as per the top of the page, and both monitors are shown as running off the GTX960, as in the screenshots above. However, everything including iStat Menus seems to indicate that the internal GPU is the one running the show, not the GTX 960.
Not sure what you mean by "default monitor", but this is what I did:
- power on with the eGPU on
- it is detected and it shows in Settings/Displays
- move the menu bar from the laptop window to the external display
- option-move the laptop window to the external display (with menu bar), which causes mirroring
- and this is where it automatically is at when I reboot.
I don't have a headless display but I could try different combinations without the display etc. Not sure what would be most telling.
What I get is this, just two devices:
% clinfo –list
Platform #0: Apple
+– Device #0: Intel(R) Core(TM) i7-2720QM CPU @ 2.20GHz
`– Device #1: ATI Radeon HD 6750M
@ricosuave0922 For some reason I did have automatic graphics switching on now, even if I had disabled it earlier. But I had just tried an nvram clear and a bunch of things that forced me to repeat the procedure in this blog from scratch. Now I am back to where I started, with automatic switching off and everything appearing ok but clinfo still not showing the GTX960 eGPU.
What led to this is that I didn't have CUDA installed and thought that maybe it would help. Normally I run OpenCL on the integrated GPU and it works fine, so I now thought that installing CUDA 387.99 perhaps helped Apple OpenCL talk with the Nvidia GPU... It appears like there was no luck.
However, I notice something strange in the console: an endless repetition of this error message for WindowServer (SkyLight) in subsystem com.apple.SkyLight.
default WindowServer No matching context for device (0x7f8c47229e10) - disabling acceleration.
Does it ring any bells?
Well, that depends on the OpenCL platforms made available by the various "vendors".
On my 2017 15-inch MacBook Pro QC i7 the only available platform is by Apple, counting 4 devices:
- the Intel QC i7 CPU
- the integrated Intel HD Graphics 630
- the additional AMD Radeon Pro 630
- and the eGPU NVidia GeForce GTX 1080Ti
This info comes from running the OpenCLInfo example from the OpenCL Programming Guide. So, it appears that there are no separate platforms by AMD and NVidia.
Thank you, @hkoster1. Could I bother you by asking what eGPU enclosure you are using, and what your config is like (MacOS, nvidia drivers, eGPU setup)? I am trying to figure out if my problem is one of configuration (it probably is) or if it is my older MBP (doubtful). I really want to get to the bottom of this... and get cracking with OpenCL by getting a GTX 1080 Ti too, but I won't buy it until it works with the GTX 960.
I'm using the Sonnet eGFX 550 enclosure, a Dell P2415Q DisplayPort monitor, and further all the latest updates of macOS and the procedure on page 1 of this thread. I hotplug the Sonnet box when logged in as my user self (System Report then recognizes some undefined NVidia object), then I log out and after a momentary black screen the external monitor comes to life. I make that screen the primary one by dragging the menu bar to it, and then I just close the lid of my MacBook Pro (which shuts off the internal screen).
Unigine Heaven or Valley show excellent performance, but my favourite Trainz game (T:ANE) refuses to utilize the eGPU, and instead reverts to the Intel integrated HD 630 graphics (judging by the frame rates) -- why I don't know.
My OpenCLInfo (showing the 4 devices) is the example from The OpenCL Programming Guide). I'll try and run one of the other examples exclusively off the GTX 1080Ti, but it's been awhile since I last looked at OpenCL...
Hello,
I can report some success (thank you all!):
MBP 2016 15'' Radeon Pro 460 [macOS 10.13.2 (17C88)]
Sonnet eGFX Breakaway Box 550
EVGA SC2 1080ti
My steps:
Install Graphics Driver (WebDriver-378.10.10.10.25.102.pkg)
Disable SIP (only kext)
Install NVDAEGPUSupport-v4.pkg
Reboot
[Steps Below]
Install Cuda Toolkit 9.1.85
Install Cuda Driver 387.99
It works when
-I log in without the GPU connected, then
-connect (NVIDIA Chipset Model detected),
-log out and in again.
If I start up with the eGPU connected then the internal display stays dark after logging in, a then connected external display reveals serious lagginess that only can be resolved by following my steps above (Shutdown, unplug, boot, log in, plug in, log out, log in). Hot unplug leads to total system crash (would be nice if it wouldn't do that anymore).
Blender works fine even on the internal display (native speed), games only work on the external display (Unigine Heaven and Valley as well).
But something that doesn't work and I have no idea how to fix is Wolfram's Mathematica Neural Network Training Function.
IN: (NetTrain[..., TragetDevice->"GPU"]
OUT: NetTrain::badtrgdev: TargetDevice -> GPU could not be used, please ensure that you have a compatible NVIDIA graphics card and have installed the latest operating system drivers.
{"GPU",1}, {"GPU",2} etc. won't help either.
Furthermore:
Needs["CUDALink`"];
Needs["CCompilerDriver`"];
CUDAResourcesInstall[];
returns fine but
CUDAQ[] then crashes the Mathematica Kernel, so does SystemInformation[].
Any ideas on how to fix this? (EDIT!)
Gaming is not my priority (though it sad to see that the performance of my 1080ti is diminished so much by macOS, I'll post my Heaven and Valley benchmarks soon), getting CUDA to work is. NN-Taining without CUDA these days is horrible...
-------- (EDIT) -----------
I found a patch to get it to work with Mathematica:
- Start Mathematica
- Open a new Document
- Needs["CUDALink`"]
- CUDAQ[] should now return true
- Open Document you want to execute
macOS-eGPU.sh on GitHub (fr34k's macOS-eGPU.sh on eGPU.io)
----
2016 15'' MacBook Pro + GTX1080Ti@32Gbps-TB3 (Sonnet Breakaway 550) + macOS 10.13.6 (17G65 driver: 378.10.10.10.30.107 + CUDA: 396.148)
MBP 2016 15” Radeon Pro 460 [macOS 10.13.2 (17C88)]
Sonnet eGFX Breakaway Box 550
EVGA SC2 1080ti
Unigine Heaven 4.0
OpenGL, 1920x1080, 8xAA, Fullscreen, Ultra, Tessellation Extreme:
102.7 fps (11.2, 199.5), 2586 Score
Unigine Valley 1.0
OpenGL, 1920x1080, 8xAA, Fullscreen, Extreme HD Preset:
80.7 fps (27.6, 114.6), 3375 Score
Cycles Benchmark, Blender 2.79:
BMW: 2:15.66 min
Pavillion: 5:33.22 min
I've also encountered a problem: 4K@60Hz does not work.
macOS-eGPU.sh on GitHub (fr34k's macOS-eGPU.sh on eGPU.io)
----
2016 15'' MacBook Pro + GTX1080Ti@32Gbps-TB3 (Sonnet Breakaway 550) + macOS 10.13.6 (17G65 driver: 378.10.10.10.30.107 + CUDA: 396.148)
Happy to tell and confirm that I finally got this model to work on High Sierra 10.13.2
System:
Macbook Pro Retina 15inch, Early 2013, Thunderbolt 1 SUCCESS
Gear:
Aorus Gaming Box GTX 1080
Apple TB3 to TB2 Adapter
Apple TB 2m Cable
I'm having trouble with a setup that was working fine up until right before I upgraded to High Sierra 10.13.2:
* Mid-2012 MacBook Pro (Nvidia GT 650 GPU)
* High Sierra 10.13.2 (17C88)
* Aorus GTX 1080 Gaming Box
* Apple TB2->TB3 cable
* Two Dell 2415Q displays
I've installed the correct versions of the Nvidia Web Driver and the NVDAEGPUSupportDriver. When I connect the Aorus box, its fans start spinning, but I don't see anything on the external displays. 'System Information' correctly reports the USB devices that are connected to the Aorus box, and also correctly lists 'GV-N1080IXEB-8GD' in the Thunderbolt Device Tree. However, when I try to list the installed 'Graphics/Displays', 'System Information' becomes unresponsive, and does not even list the built in GPU's.
If I logout of the system with the Aorus box still connected, the MBP's main LCD display goes black, but nothing appears on the external displays. When I then disconnect the Aorus box, the LCD display comes back reporting a kernel panic.
One thing I've noticed, which I never bothered to observe before, is that the system never remembers my attempts to disable 'Automatic graphics switching'; I can turn it off, but when the system reboots, the setting is back on again.
Any help with this is much appreciated. Like I said, this setup worked last week when I was still using High Sierra 10.13.1
And lo, now the thing works again, after a week of trying. Here's what was different this time:
* I re-enabled SIP with 'csrutil enable --without kext'
* I connected the Aorus box to the MacBook Pro before powering on the computer
* I disconnected the USB devices from the Aorus box while it booted (those devices are a Das keyboard which has a dongle for a Logitech wireless mouse connected to it).
No idea if or how any of that made it work, but I'm glad it did
This is the first time I make some progress. Now on 10.13.2 with the latest v.4 I can get the GPU at least partly to be recognized.
However, the (internal) screen turns black. When having an external screen connected I somehow managed to click the shutdown button - but cancel out the window where you are asked - do you really want to shut down. Then like magic the internal display turned on again.
How can I use the internal display, i.e. have it turned on again (only interested in CUDA) when no external monitor is plugged in to press the shut down button?
Need Help...
Specs:
2017 MBP, running OSX 10.13.2.
Aorus Gaming box 1080 via tb3
Cinema4d/ Octane Render V3
So First. Thank you for any suggestions you can help me with at this point,
Ive installed Goalque's script and followed the instructions. Great, computer recognizing ...but as NVIDIA chipset. Ive downloaded the latest CUDA drivers and it registers having them, but no applications seem to, (adobe, cinema4d, Octane Render, etc) So I should have followed your initial instructions: not to run Rastafabi's script with Goalques....and alas, I have done just that. I did the install without the Box attached. Then the computer rebooted and wouldnt boot up. Now it only seems to start in Safe mode or recovery. 1 thing I noticed is that after I did open the computer in Safe mode, I saw that my laptop read the nvidia 1080 chip, no longer just chipset.
So, Im a bit lost with all of this tbh. Any help yall can give would be greatly appreciated. I was able to boot the computer up finally, since I had a 10.13.2 update still and just installed it again. The computer still has issues at the initial boot. I have deleted the NVAEDAE extension, Im just a bit nervous to restart my computer now...Help?! please.
@dmiller, Goalques script does not work for high Sierra - use the instructions on page 1 of this posting.
Hi guys,
I just got the AORUS gaming box with GTX 1080 today and tried the steps in the first page of this thread but I cannot seem to get the egpu to work.
I have a 2017 13" Macbook Pro with Touchbar and I'm connecting it to the AORUS gaming box with GTX 1080.
When I go into system report and go to graphics card, it only shows the built in Iris Plus 650, the egpu isn't listed at all under the graphics card section. But it is recognised in the Thunderbolt section though.
Not sure what I did incorrectly, can someone please help and/or point me in the right direction?
Thank you
Was able to get the system to recognise the egpu under graphics card but it's not actually being utilised in any programs, nor selected in the display menu.
I'm using a LG ultrafine display connected to the Macbook, while the egpu is also connected to the Macbook. I know it's not ideal but I've seen it work from other people's set ups.
How do I get the computer to use the egpu instead of the internal graphics chip?
Because he is using an LG UltraFine which only connects via TB3 and no GPU's come with TB3 connection.
@bryan_lee I have the same, never managed to accelerate the display, accelerated internal using a headless adapter connected to GPU.
Sadly not... its not even USB 3 its clever TB 3 combining 2 streams into one cable... the 4k Ultrafine is USB C but haven't been able to test as I have the 5k.
Hi guys,
I just got the AORUS gaming box with GTX 1080 today and tried the steps in the first page of this thread but I cannot seem to get the egpu to work.
I have a 2017 13" Macbook Pro with Touchbar and I'm connecting it to the AORUS gaming box with GTX 1080.
When I go into system report and go to graphics card, it only shows the built in Iris Plus 650, the egpu isn't listed at all under the graphics card section. But it is recognised in the Thunderbolt section though.
Not sure what I did incorrectly, can someone please help and/or point me in the right direction?
Thank you
Bryan, I have exactly the same setup as yours. I initially tried to stay on Sierra (10.12) and run the egpu automate script, but while the Gaming Box was recognized and an external GPU was also recognized, the extrernal display was not. So, I decided to take the plunge and upgrade to High Sierra (10.13.2) and follow the instructions in the beginning of this thread.
I think I actually faced the same problem as you - the Gaming Box was recognized, but the GPU was not. Here's what helped me - after following all the steps in the first post, I rebooted to Revocery Mode > opened Terminal > typed: csrutil disable > restarted. After the restart, the GPU was recognized, and it's also working - was able to run some 4K games.
Of course, the issue there is that SIP is still disabled. I have not yet tried re-enabling it to see if maybe that was just a one-time requirement and I don't need to leave it disabled...
With that said, there are some issues:
- Hot unplugging crashes the Mac
- Clamshell mode does not work - if I close the laptop lid, the internal screen is turned off, but it's still attached as a desktop - so if you have some apps on your internal screen desktop, they will still stay there, and you can accidentally "lose" your mouse pointer by moving it to the internal screen, which you can't see anymore. I am wondering if anybody else is also experiencing this and whether this is an issue with AMD cards as well...
- Putting the Mac to sleep does not put the Aorus Gaming Box to sleep - it just keeps on running and spinning the vents... which is pretty annoying considering that the only way to turn it off is to disconnect the TB3 cable from Mac, which will crash it...
- When waking the Mac from sleep, the external display is not instantly recognized. I have found that when I press a key to wake the map from sleep, I will have to click Cancel or press Esc and the press any key again - only then is the external display recognized and turned on.
- After shutting the Mac down and starting it up again, the external display isn't recognized - I need to unplug the DP cable and plug it back in for it to be recognized.
- HDMI does not seem to work - the display is kind of recognized, but the screen just stays black
- Audio over DP to monitor is not supported (I’ve read it works fine on Windows/bootcamp)
If anybody knows fixes to any of these issues, I'm all ears. My biggest annoyances are the hot unplug crash and Gaming Box not shutting off going to sleep when the Mac is.
UUuugh. So close!
MBP 13" (2016 - four thunderbolt 3 ports), 10.13.2, using 4035-nvidia-egpu-v4 installer.
Using Mantiz Venus with a GTX 1080 stock ref. card from NVIDIA.
System identifies the secondary display, but its black and only displays mouse. Tried several recommendations having egpu not plugged in while starting up, then plugging in and logging in, etc.
13" mbp w/touch bar - OSX 10.13.5 - NVIDIA GTX1080 - Mantiz Venus eGPU
