xmr-stak-amd
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fireice-uk
Intel GPU support
Add/Check OpenCl support for Intel GPUs.
#17 added support for GPUs without AMD media extensions, this means that Intel GPUs should be usable.
Test Intel GPU on a i7-7500U
- system: Mint Linux 18.1
- download OpenCL™ 2.0 GPU/CPU driver package for Linux* (64-bit)
# convert *.rpm to *.dep
sudo apt-get install -y rpm alien libnuma1
fakeroot alien --to-deb intel-opencl-r4.1-61547.x86_64.rpm
fakeroot alien --to-deb intel-opencl-devel-r4.1-61547.x86_64.rpm
fakeroot alien --to-deb intel-opencl-cpu-r4.1-61547.x86_64.rpm
# install dep packages
# compile xmr-stak-amd
Everything is running without any errors (with OpenCL2):
2017-06-26 20:44:37] : New block detected.
[2017-06-26 20:44:46] : Result accepted by the pool.
[2017-06-26 20:44:56] : Result accepted by the pool.
[2017-06-26 20:45:27] : New block detected.
[2017-06-26 20:45:54] : Result accepted by the pool.
[2017-06-26 20:46:07] : New block detected.
HASHRATE REPORT
| ID | 10s | 60s | 15m |
| 0 | 84.8 | 85.5 | 85.8 |
---------------------------
Totals: 84.8 85.5 85.8 H/s
Highest: 86.5 H/s
RESULT REPORT
Difficulty : 18000
Good results : 9 / 9 (100.0 %)
Avg result time : 175.3 sec
Pool-side hashes : 162000
Top 10 best results found:
| 0 | 344331 | 1 | 163503 |
| 2 | 86761 | 3 | 55549 |
| 4 | 51698 | 5 | 45328 |
| 6 | 34849 | 7 | 23566 |
| 8 | 19784 | 9 | 0 |
Error details:
Yay! No errors.
Hold on, does that mean almost all Intel desktop CPUs can mine on their built-in GPU? Sweet =). Can you verify how that affects CPU mining rate? I would expect some shared circuits between the two.
Yes it is possible but I have tested if a cpu miner and gpu miner can run in parallel. The result was that the cpu miner slows down from 130 to 30h/s. The GPU of my laptop is running with 80 h/s (allown). But all in all I need to run more tests to check why the cpu miner slows down if a gpu miner is running.
@arpu Beignet OpenCl is not running with my kaby lake Intel. I also thought that I am using my CPU but this screenshot shows that the CPU is not used.
% clinfo
Number of platforms 1
Platform Name Intel(R) OpenCL
Platform Vendor Intel(R) Corporation
Platform Version OpenCL 2.0
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_spir
Platform Extensions function suffix INTEL
Platform Name Intel(R) OpenCL
Number of devices 2
Device Name Intel(R) HD Graphics
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 2.0
Driver Version r4.1.61547
Device OpenCL C Version OpenCL C 2.0
Device Type GPU
Device Profile FULL_PROFILE
Max compute units 23
Max clock frequency 1050MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types by <unknown> (0x7FD900000000)
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Preferred work group size multiple 32
Preferred / native vector sizes
char 16 / 16
short 8 / 8
int 4 / 4
long 1 / 1
half 8 / 8 (cl_khr_fp16)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (cl_khr_fp16)
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 No
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
Correctly-rounded divide and sqrt operations No
Address bits 64, Little-Endian
Global memory size 13254747751 (12.34GiB)
Error Correction support No
Max memory allocation 4294959103 (4GiB)
Unified memory for Host and Device Yes
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing No
Fine-grained system sharing No
Atomics No
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Preferred alignment for atomics
SVM 64 bytes
Global 64 bytes
Local 64 bytes
Max size for global variable 65536 (64KiB)
Preferred total size of global vars 4294959103 (4GiB)
Global Memory cache type Read/Write
Global Memory cache size 524288
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 268434943 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 4 bytes
Max 2D image size 16384x16384 pixels
Max 3D image size 16384x16384x2048 pixels
Max number of read image args 128
Max number of write image args 128
Max number of read/write image args 128
Max number of pipe args 16
Max active pipe reservations 1
Max pipe packet size 1024
Local memory type Local
Local memory size 65536 (64KiB)
Max constant buffer size 4294959103 (4GiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Queue properties (on device)
Out-of-order execution Yes
Profiling Yes
Preferred size 131072 (128KiB)
Max size 67108864 (64MiB)
Max queues on device 1
Max events on device 1024
Prefer user sync for interop Yes
Profiling timer resolution 83ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
SPIR versions 1.2
printf() buffer size 4194304 (4MiB)
Built-in kernels block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel
Motion Estimation accelerator version (Intel) 2
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_subgroups_short cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir cl_khr_subgroups
Device Name Intel(R) Core(TM) i7-7500U CPU @ 2.70GHz
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 2.0 (Build 400)
Driver Version 1.2.0.400
Device OpenCL C Version OpenCL C 2.0
Device Type CPU
Device Profile FULL_PROFILE
Max compute units 4
Max clock frequency 2700MHz
Device Partition (core)
Max number of sub-devices 4
Supported partition types by counts, equally, by names (Intel)
Max work item dimensions 3
Max work item sizes 8192x8192x8192
Max work group size 8192
Preferred work group size multiple 128
Preferred / native vector sizes
char 1 / 32
short 1 / 16
int 1 / 8
long 1 / 4
half 0 / 0 (n/a)
float 1 / 8
double 1 / 4 (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 No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
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
Correctly-rounded divide and sqrt operations No
Address bits 64, Little-Endian
Global memory size 16578920448 (15.44GiB)
Error Correction support No
Max memory allocation 4144730112 (3.86GiB)
Unified memory for Host and Device Yes
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing No
Fine-grained system sharing No
Atomics No
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Preferred alignment for atomics
SVM 64 bytes
Global 64 bytes
Local 0 bytes
Max size for global variable 65536 (64KiB)
Preferred total size of global vars 65536 (64KiB)
Global Memory cache type Read/Write
Global Memory cache size 262144
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 480
Max size for 1D images from buffer 259045632 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 64 bytes
Pitch alignment for 2D image buffers 64 bytes
Max 2D image size 16384x16384 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 480
Max number of write image args 480
Max number of read/write image args 480
Max number of pipe args 16
Max active pipe reservations 65535
Max pipe packet size 1024
Local memory type Global
Local memory size 32768 (32KiB)
Max constant buffer size 131072 (128KiB)
Max number of constant args 480
Max size of kernel argument 3840 (3.75KiB)
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Local thread execution (Intel) Yes
Queue properties (on device)
Out-of-order execution Yes
Profiling Yes
Preferred size 4294967295 (4GiB)
Max size 4294967295 (4GiB)
Max queues on device 4294967295
Max events on device 4294967295
Prefer user sync for interop No
Profiling timer resolution 1ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
SPIR versions 1.2
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_khr_icd 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_depth_images cl_khr_3d_image_writes cl_intel_exec_by_local_thread cl_khr_spir cl_khr_fp64 cl_khr_image2d_from_buffer
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform
clCreateContext(NULL, ...) [default] No platform
clCreateContext(NULL, ...) [other] Success [INTEL]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
ok you can look at intel_gpu_top tool to see some GPU top statistic you can try build beignet from git but you need LLVM 3.9 for opencl 2.0
anyway i try to use this on my intel beignet installation right now for test
intel_gpu_top
(intel_gpu_top:5797) intel-mmio-CRITICAL: Test assertion failure function intel_mmio_use_pci_bar, file ../../lib/intel_mmio.c:145:
(intel_gpu_top:5797) intel-mmio-CRITICAL: Failed assertion: !(error != 0)
(intel_gpu_top:5797) intel-mmio-CRITICAL: Last errno: 13, Permission denied
(intel_gpu_top:5797) intel-mmio-CRITICAL: Couldn't map MMIO region
Stack trace:
#0 [_init+0x83d9]
#1 [_init+0x6036]
#2 [_init+0x1301]
#3 [__libc_start_main+0xf0]
#4 [_init+0x2f61]
#5 [<unknown>+0x2f61]
Test (null) failed.
**** DEBUG ****
(intel_gpu_top:5797) intel-mmio-CRITICAL: Test assertion failure function intel_mmio_use_pci_bar, file ../../lib/intel_mmio.c:145:
(intel_gpu_top:5797) intel-mmio-CRITICAL: Failed assertion: !(error != 0)
(intel_gpu_top:5797) intel-mmio-CRITICAL: Last errno: 13, Permission denied
(intel_gpu_top:5797) intel-mmio-CRITICAL: Couldn't map MMIO region
**** END ****
FAIL (-1.000s)
update The tool needs root right (thx Intel).
Yes I found it and I know why I am a Nvidia Fanboy :-).
result: user: 0.000000s, sys: 0.000000s, elapsed: 0.000256s, CPU: 0.0%, GPU: 100.0%
@arpu But please only optimization for Intel or AMD. NVidia is not the target, we have a Nvidia version which is much faster than openCL.
Side note (why I am not focused on NVidia OpenCL): I know that it is possible for NVidia GPUs to use use inline PTX code. I have also a OpenCL version where 4 threads working on 1 AES hash, but OpenCL is slower than CUDA.
congratulations psychocrypt, can i use on windows? I have 4790k cpu can i use it for hd graphics?
Hi,
with my Intel Card it also does not work:
[2017-07-07 10:14:51] : Compiling code and initializing GPUs. This will take a while... [2017-07-07 10:14:51] : Device 0 work size 8 / 256. [2017-07-07 10:14:51] : Error CL_BUILD_PROGRAM_FAILURE when calling clBuildProgram. Build log: 1:16:26: warning: unknown OpenCL extension 'cl_amd_media_ops2' - ignoring In file included from 1:18: .\opencl/wolf-aes.cl:79:14: error: implicit declaration of function 'amd_bfe' is invalid in OpenCL .\opencl/wolf-aes.cl:74:21: note: expanded from macro 'BYTE' In file included from 1:19: .\opencl/wolf-skein.cl:33:29: error: implicit declaration of function 'amd_bitalign' is invalid in OpenCL header_with_defs_gpu.h:289:39: note: expanded from macro 'as_ulong' In file included from 1:19: .\opencl/wolf-skein.cl:33:20: error: invalid reinterpretation: sizes of 'ulong' (aka 'unsigned long') and 'int' must match header_with_defs_gpu.h:289:21: note: expanded from macro 'as_ulong' In file included from 1:19: .\opencl/wolf-skein.cl:34:14: error: invalid reinterpretation: sizes of 'ulong' (aka 'unsigned long') and 'int' must match header_with_defs_gpu.h:289:21: note: expanded from macro 'as_ulong' 1:328:26: warning: unknown OpenCL extension 'cl_amd_media_ops2' - ignoring Press any key to exit.
Config:
"gpu_thread_num" : 1, "gpu_threads_conf" : [ { "index" : 0, "intensity" : 100, "worksize" : 8, "affine_to_cpu" : false }, ], "platform_index" : 0,
@Kinimodnnama You need to use the dev branch. Do not forget to run make install else you will have the wrong opencl code in your folder.
@mk148a I think currently not I need to fix cmake to support windows. After that it should work.
Note My intel gpu is slow and avoid the usage of a cpu miner during the gpu is mining.
@psychocrypt Thank you for the fast answer. Where can i download the binaries of this version? :)
We have no binaries for the development version. You need to compile it by zour own. Warning we have currently no documentaion how to compile, if you are no geak you should wait for the next release or the documentation.
Is somebody successful with OpenCL 1.2 ? I install intel opencl drivers but have all on "GPU COMPUTE ERROR" :-(
A windows binary version would be awesome. Have an iris hd 580 to test with.
Tested on Core M 5Y10
I was able to get the software (as of commit 7a4dc196d03aa63146393f46852cd2ed932f5ea4) to run under Ubuntu 16.04 on Intel Core M 5Y10 with HD 5300 graphics, though I did run in to some issues.
I mostly followed the instructions from @psychocrypt above. First install the Intel OpenCL drivers which unfortunately requires a kernel rebuild around the Linux 4.7 kernel. I followed this guide and used the scripts therein: https://software.intel.com/en-us/articles/sdk-for-opencl-gsg
I also installed the Intel OpenCL SDK, though I am not sure if this is strictly necessary, the Intel guide just instructed to do so. You have to jump through some hoops to download: https://software.intel.com/en-us/intel-opencl/download
I was able to get the software to at least start with this configuration:
"gpu_thread_num" : 1,
"gpu_threads_conf" : [
{ "index" : 0, "intensity" : 32, "worksize" : 8, "affine_to_cpu" : false },
],
"platform_index" : 0,
Though this is probably not ideal, it would crash with many other configurations (includng the default), though it seemed to be working with this at ~20 H/s. Could you post what config you used above @psychocrypt?
Worth noting, the software would occasionally give the error:
[447.121859] igfxdcd: failed to locate the system routine
Not sure of the cause, but it didn't seem to impact the program running.
For reference, here is some data about my system:
$ uname -a
Linux jaywalker-UX305FA 4.7.0.intel.r5.0 #1 SMP Mon Aug 21 22:20:34 EDT 2017 x86_64 x86_64 x86_64 GNU/Linux
$ clinfo
Number of platforms 2
Platform Name Intel(R) OpenCL
Platform Vendor Intel(R) Corporation
Platform Version OpenCL 2.0
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_spir
Platform Extensions function suffix INTEL
Platform Name Experimental OpenCL 2.1 CPU Only Platform
Platform Vendor Intel(R) Corporation
Platform Version OpenCL 2.1 LINUX
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_icd 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_depth_images cl_khr_3d_image_writes cl_intel_exec_by_local_thread cl_khr_spir cl_khr_fp64 cl_khr_image2d_from_buffer
Platform Host timer resolution 1ns
Platform Extensions function suffix INTEL
Platform Name Intel(R) OpenCL
Number of devices 2
Device Name Intel(R) HD Graphics
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 2.0
Driver Version r5.0.63503
Device OpenCL C Version OpenCL C 2.0
Device Type GPU
Device Profile FULL_PROFILE
Max compute units 24
Max clock frequency 800MHz
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
Preferred work group size multiple 32
Preferred / native vector sizes
char 16 / 16
short 8 / 8
int 4 / 4
long 1 / 1
half 8 / 8 (cl_khr_fp16)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (cl_khr_fp16)
Denormals No
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 No
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 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
Correctly-rounded divide and sqrt operations No
Address bits 64, Little-Endian
Global memory size 6210191360 (5.784GiB)
Error Correction support No
Max memory allocation 3105095680 (2.892GiB)
Unified memory for Host and Device Yes
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing No
Fine-grained system sharing No
Atomics No
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Preferred alignment for atomics
SVM 64 bytes
Global 64 bytes
Local 64 bytes
Max size for global variable 65536 (64KiB)
Preferred total size of global vars 3105095680 (2.892GiB)
Global Memory cache type Read/Write
Global Memory cache size 589824
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 194068480 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 4 bytes
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 128
Max number of read/write image args 128
Max number of pipe args 16
Max active pipe reservations 1
Max pipe packet size 1024
Local memory type Local
Local memory size 65536 (64KiB)
Max constant buffer size 3105095680 (2.892GiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Queue properties (on device)
Out-of-order execution Yes
Profiling Yes
Preferred size 131072 (128KiB)
Max size 67108864 (64MiB)
Max queues on device 1
Max events on device 1024
Prefer user sync for interop Yes
Profiling timer resolution 80ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
SPIR versions 1.2
printf() buffer size 4194304 (4MiB)
Built-in kernels block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel
Motion Estimation accelerator version (Intel) 2
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_intel_accelerator cl_intel_advanced_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_driver_diagnostics cl_intel_media_block_io cl_intel_motion_estimation cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_required_subgroup_size cl_intel_subgroups cl_intel_va_api_media_sharing cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_fp16 cl_khr_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_image2d_from_buffer cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_khr_spir
Device Name Intel(R) Core(TM) M-5Y10c CPU @ 0.80GHz
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 2.0 (Build 475)
Driver Version 1.2.0.475
Device OpenCL C Version OpenCL C 2.0
Device Type CPU
Device Profile FULL_PROFILE
Max compute units 4
Max clock frequency 800MHz
Device Partition (core)
Max number of sub-devices 4
Supported partition types by counts, equally, by names (Intel)
Max work item dimensions 3
Max work item sizes 8192x8192x8192
Max work group size 8192
Preferred work group size multiple 128
Preferred / native vector sizes
char 1 / 32
short 1 / 16
int 1 / 8
long 1 / 4
half 0 / 0 (n/a)
float 1 / 8
double 1 / 4 (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 No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
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
Correctly-rounded divide and sqrt operations No
Address bits 64, Little-Endian
Global memory size 7773224960 (7.239GiB)
Error Correction support No
Max memory allocation 1943306240 (1.81GiB)
Unified memory for Host and Device Yes
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing No
Fine-grained system sharing No
Atomics No
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Preferred alignment for atomics
SVM 64 bytes
Global 64 bytes
Local 0 bytes
Max size for global variable 65536 (64KiB)
Preferred total size of global vars 65536 (64KiB)
Global Memory cache type Read/Write
Global Memory cache size 262144
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 480
Max size for 1D images from buffer 121456640 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 64 bytes
Pitch alignment for 2D image buffers 64 bytes
Max 2D image size 16384x16384 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 480
Max number of write image args 480
Max number of read/write image args 480
Max number of pipe args 16
Max active pipe reservations 65535
Max pipe packet size 1024
Local memory type Global
Local memory size 32768 (32KiB)
Max constant buffer size 131072 (128KiB)
Max number of constant args 480
Max size of kernel argument 3840 (3.75KiB)
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Local thread execution (Intel) Yes
Queue properties (on device)
Out-of-order execution Yes
Profiling Yes
Preferred size 4294967295 (4GiB)
Max size 4294967295 (4GiB)
Max queues on device 4294967295
Max events on device 4294967295
Prefer user sync for interop No
Profiling timer resolution 1ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
SPIR versions 1.2
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_khr_icd 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_depth_images cl_khr_3d_image_writes cl_intel_exec_by_local_thread cl_khr_spir cl_khr_fp64 cl_khr_image2d_from_buffer
Platform Name Experimental OpenCL 2.1 CPU Only Platform
Number of devices 1
Device Name Intel(R) Core(TM) M-5Y10c CPU @ 0.80GHz
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 2.1 (Build 10)
Driver Version 1.2.0.10
Device OpenCL C Version OpenCL C 2.0
Device Type CPU
Device Profile FULL_PROFILE
Max compute units 4
Max clock frequency 800MHz
Device Partition (core)
Max number of sub-devices 4
Supported partition types by counts, equally, by names (Intel)
Max work item dimensions 3
Max work item sizes 8192x8192x8192
Max work group size 8192
Preferred work group size multiple 128
Max sub-groups per work group 1
Preferred / native vector sizes
char 1 / 32
short 1 / 16
int 1 / 8
long 1 / 4
half 0 / 0 (n/a)
float 1 / 8
double 1 / 4 (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 No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
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
Correctly-rounded divide and sqrt operations No
Address bits 64, Little-Endian
Global memory size 7773224960 (7.239GiB)
Error Correction support No
Max memory allocation 1943306240 (1.81GiB)
Unified memory for Host and Device Yes
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing Yes
Fine-grained system sharing Yes
Atomics Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Preferred alignment for atomics
SVM 64 bytes
Global 64 bytes
Local 0 bytes
Max size for global variable 65536 (64KiB)
Preferred total size of global vars 65536 (64KiB)
Global Memory cache type Read/Write
Global Memory cache size 262144
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 480
Max size for 1D images from buffer 121456640 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 64 bytes
Pitch alignment for 2D image buffers 64 bytes
Max 2D image size 16384x16384 pixels
Max 3D image size 2048x2048x2048 pixels
Max number of read image args 480
Max number of write image args 480
Max number of read/write image args 480
Max number of pipe args 16
Max active pipe reservations 65535
Max pipe packet size 1024
Local memory type Global
Local memory size 32768 (32KiB)
Max constant buffer size 131072 (128KiB)
Max number of constant args 480
Max size of kernel argument 3840 (3.75KiB)
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Local thread execution (Intel) Yes
Queue properties (on device)
Out-of-order execution Yes
Profiling Yes
Preferred size 4294967295 (4GiB)
Max size 4294967295 (4GiB)
Max queues on device 4294967295
Max events on device 4294967295
Prefer user sync for interop No
Profiling timer resolution 1ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
Sub-group independent forward progress No
IL version SPIR-V_1.0
SPIR versions 1.2
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_khr_icd 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_depth_images cl_khr_3d_image_writes cl_intel_exec_by_local_thread cl_khr_spir cl_khr_fp64 cl_khr_image2d_from_buffer
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform
clCreateContext(NULL, ...) [default] No platform
clCreateContext(NULL, ...) [other] Success [INTEL]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
Intel provides a system analyzer utility python script https://software.intel.com/en-us/articles/mss-sys-analyzer-linux This is my output:
./sys_analyzer_linux.py
--------------------------
Hardware readiness checks:
--------------------------
[ OK ] Processor name: Intel(R) Core(TM) M-5Y10c CPU @ 0.80GHz
--------------------------
OS readiness checks:
--------------------------
[ OK ] GPU visible to OS
--------------------------
Media Server Studio Install:
--------------------------
[ OK ] user in video group
[ ERROR ] libva.so.1 not found. Check LD_LIBRARY_PATH contains '/usr/lib64;/usr/local/lib'
[ ERROR ] libva not loading Intel iHD
[ ERROR ] vainfo not reporting codec entry points
[ ERROR ] no libva include files. Are Intel components installed?
--------------------------
Component Smoke Tests:
--------------------------
[ ERROR ] no Media SDK include files. Are Intel components installed?
[ OK ] OpenCL check:platform:Intel(R) OpenCL GPU OK CPU OK
platform:Experimental OpenCL 2.1 CPU Only Platform GPU OK CPU OK
If I get time maybe I will try this with my desktop i5 4440 and Intel HD 4600. It probably will require different steps as the Intel driver package above says it is for 5th gen and above only (Haswell is 4th gen IIRC). I also don't think it supports above OpenCL 1.2.
Also re: CPU performance @psychocrypt while running the GPU + CPU miner on Intel HD, I believe the IGP shares some L3 cache with the CPU (unclear if it is a reserved amount), so perhaps the performance drop is related to contention there somehow. Have you tried running just one CPU thread and just one GPU thread to see if they affect each other?
Also worth noting about performance: when running the miner my GUI environment was basically unusable, everything was incredibly unresponsive (but I guess that's not surprising when smacking the GPU with work!). Did you experience this @psychocrypt ?
I tried compile it with intel-opencl-r5 and manage to run it with average 108 h/s. This is without CPU miner and htop showing 0% for all 8 CPU thread. However, I noticed that after a couple of shares found, it immediately hogging 2 CPU thread 100% all the time.
I did a few tries, and every time it hogs 200%/800% after couples of shares/minutes(like after 5 minutes).
Platform: Centos 7.3 Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz
I've been trying to run this on my computer with an Intel(R) Core(TM) i3-5005U CPU @ 2.00GHz CPU and Intel(R) HD Graphics GPU, and I made sure to work with the dev branch. When running the program I get the following error:
nicolas:bin/ (dev✗) $ ./xmr-stak-amd config.txt [0:43:56]
[2017-09-10 00:44:17] : Compiling code and initializing GPUs. This will take a while...
[2017-09-10 00:44:17] : Error CL_DEVICE_NOT_FOUND when calling clGetDeviceIDs for number of devices.
Here's a link to my clinfo output: http://paste.debian.net/985329/
According to the API it should only give me this error if no devices of the specified device_type (which in this case is CL_DEVICE_TYPE_GPU) are found.
Follows is a section of the config.txt:
/*
* Number of GPUs that you have in your system. Each GPU will get its own CPU thread.
*/
"gpu_thread_num" : 1,
/*
* GPU configuration. You should play around with intensity and worksize as the fastest settings will vary.
* index - GPU index number usually starts from 0
* intensity - Number of parallel GPU threads (nothing to do with CPU threads)
* worksize - Number of local GPU threads (nothing to do with CPU threads)
* affine_to_cpu - This will affine the thread to a CPU. This can make a GPU miner play along nicer with a CPU miner.
*/
"gpu_threads_conf" : [
{ "index" : 0, "intensity" : 23, "worksize" : 8, "affine_to_cpu" : false },
],
/*
* Platform index. This will be 0 unless you have different OpenCL platform - eg. AMD and Intel.
*/
"platform_index" : 0,
@Deathsbreed Please try to set index to 1 else you are mining with your cpu.
Alright, thanks. That along with some other modifications to the config.txt (otherwise I was getting an error about CL workgroup size, but it seems to work at "worksize" : 4) helped to get it running. Though it definitely doesn't seem worth it with my GPU running at 30H/s + slower CPU mining. :P
Thanks for the help.
Hello, trying to run the miner under Windows 10 on Intel GPU. I have installed the original Intel driver (Intel VGA driver 20.19.15.4463) and Intel SDK opencl 2.0. I managed to compile the source codes from the dev branch (the binary is running fine on my vega 56 on my other machine). However, I cannot make it run on my integrated GPU, the output is
[2017-09-26 03:09:32] : Compiling code and initializing GPUs. This will take a while...
[2017-09-26 03:09:33] : Device 0 work size 8 / 256.
[2017-09-26 03:09:33] : Error CL_BUILD_PROGRAM_FAILURE when calling clBuildProgram.
Build log:
1:16:26: warning: unknown OpenCL extension 'cl_amd_media_ops2' - ignoring
In file included from 1:18:
.\opencl/wolf-aes.cl:79:14: error: implicit declaration of function 'amd_bfe' is invalid in OpenCL
.\opencl/wolf-aes.cl:74:21: note: expanded from macro 'BYTE'
In file included from 1:19:
.\opencl/wolf-skein.cl:33:29: error: implicit declaration of function 'amd_bitalign' is invalid in OpenCL header_with_defs_gpu.h:289:39: note: expanded from macro 'as_ulong'
In file included from 1:19:
.\opencl/wolf-skein.cl:33:20: error: invalid reinterpretation: sizes of 'ulong' (aka 'unsigned long') and 'int' must match header_with_defs_gpu.h:289:21: note: expanded from macro 'as_ulong'
In file included from 1:19:
.\opencl/wolf-skein.cl:34:14: error: invalid reinterpretation: sizes of 'ulong' (aka 'unsigned long') and 'int' must match header_with_defs_gpu.h:289:21: note: expanded from macro 'as_ulong'
1:328:26: warning: unknown OpenCL extension 'cl_amd_media_ops2' - ignoring
Press any key to exit.
Not sure how to run clinfo on windows, but ethminer -G --list-devices outputs
Listing OpenCL devices. FORMAT: [platformID] [deviceID] deviceName [0] [0] Intel(R) HD Graphics 5500 CL_DEVICE_TYPE: GPU CL_DEVICE_GLOBAL_MEM_SIZE: 3391448679 CL_DEVICE_MAX_MEM_ALLOC_SIZE: 847862169 CL_DEVICE_MAX_WORK_GROUP_SIZE: 256 [1] [0] GeForce 920M CL_DEVICE_TYPE: GPU CL_DEVICE_GLOBAL_MEM_SIZE: 2147483648 CL_DEVICE_MAX_MEM_ALLOC_SIZE: 536870912 CL_DEVICE_MAX_WORK_GROUP_SIZE: 1024
and the main part of my config is
"gpu_thread_num" : 1, "gpu_threads_conf" : [ { "index" : 0, "intensity" : 64, "worksize" : 8, "affine_to_cpu" : false }, ], "platform_index" : 0,
Thanks for help @psychocrypt @Deathsbreed .
@nikl11 just be sure, did you compile from the dev branch? That's where @psychocrypt did the work for non-AMD media extension GPU's and I don't think it's merged in to master yet. Your errors look like the miner is trying to use AMD extensions which obviously the Intel GPU doesn't have.
Yes I did use the dev branch, but in the opencl folder I can see the source codes still contain amd extensions. I copy the opencl folder next to my binary.
EDIT: Ok, you were right, I was using an old cryptonight.cl file, after manual update it works fine. Only 20H/s tho :-). Sorry and thanks. EDIT2: On i5-5200U's gpu it works, but on i5-3570k's it doesn't, it starts normally, looks like it is working, and after the message "Stratum found a new block", the terminal just exits, no error message.