我目前连接了 4 个 Vega RX 64，Ubuntu 只能看到其中一个，或者将这 4 个都视为同一个设备。
运行 clinfo 我得到：
Number of platforms: 1
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 2.0 AMD-APP (2482.3)
Platform Name: AMD Accelerated Parallel Processing
Platform Vendor: Advanced Micro Devices, Inc.
Platform Extensions: cl_khr_icd cl_amd_event_callback cl_amd_offline_devices
Platform Name: AMD Accelerated Parallel Processing
Number of devices: 1
Device Type: CL_DEVICE_TYPE_GPU
Vendor ID: 1002h
Board name: Device 687f
Device Topology: PCI[ B#3, D#0, F#0 ]
Max compute units: 64
Max work items dimensions: 3
Max work items[0]: 256
Max work items[1]: 256
Max work items[2]: 256
Max work group size: 256
Preferred vector width char: 4
Preferred vector width short: 2
Preferred vector width int: 1
Preferred vector width long: 1
Preferred vector width float: 1
Preferred vector width double: 1
Native vector width char: 4
Native vector width short: 2
Native vector width int: 1
Native vector width long: 1
Native vector width float: 1
Native vector width double: 1
Max clock frequency: 1630Mhz
Address bits: 64
Max memory allocation: 7287183769
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 16384
Max image 2D height: 16384
Max image 3D width: 2048
Max image 3D height: 2048
Max image 3D depth: 2048
Max samplers within kernel: 26751
Max size of kernel argument: 1024
Alignment (bits) of base address: 1024
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: No
Quiet NaNs: Yes
Round to nearest even: Yes
Round to zero: Yes
Round to +ve and infinity: Yes
IEEE754-2008 fused multiply-add: Yes
Cache type: Read/Write
Cache line size: 64
Cache size: 16384
Global memory size: 8573157376
Constant buffer size: 7287183769
Max number of constant args: 8
Local memory type: Scratchpad
Local memory size: 65536
Max pipe arguments: 0
Max pipe active reservations: 0
Max pipe packet size: 0
Max global variable size: 7287183769
Max global variable preferred total size: 8573157376
Max read/write image args: 64
Max on device events: 0
Queue on device max size: 0
Max on device queues: 0
Queue on device preferred size: 0
SVM capabilities:
Coarse grain buffer: Yes
Fine grain buffer: Yes
Fine grain system: No
Atomics: No
Preferred platform atomic alignment: 0
Preferred global atomic alignment: 0
Preferred local atomic alignment: 0
Kernel Preferred work group size multiple: 64
Error correction support: 0
Unified memory for Host and Device: 0
Profiling timer resolution: 1
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue on Host properties:
Out-of-Order: No
Profiling : Yes
Queue on Device properties:
Out-of-Order: No
Profiling : No
Platform ID: 0x7f4ada80c3f8
Name: gfx900
Vendor: Advanced Micro Devices, Inc.
Device OpenCL C version: OpenCL C 1.2
Driver version: 1.1 (HSA,HSAIL)
Profile: FULL_PROFILE
Version: OpenCL 1.2
Extensions: cl_khr_fp64 cl_amd_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_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_gl_sharing cl_amd_media_ops cl_amd_media_ops2 cl_khr_subgroups cl_khr_depth_images cl_amd_liquid_flash cl_amd_copy_buffer_p2p
运行“lspci”我得到：
lspci | grep VGA
00:02.0 VGA compatible controller: Intel Corporation 4th Generation Core Processor Family Integrated Graphics Controller (rev 06)
03:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Device 687f (rev c1)
07:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Device 687f (rev c1)
0a:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Device 687f (rev c1)
0d:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Device 687f (rev c1)
我使用的主板是 ASRock H81 PRO BTC R2.0，据我所知，它可以处理 4 张以上的卡。我按照 AMD 网站上的步骤安装了 amdgpu-pro，但在挖矿时只能使用一张卡。
有什么想法或建议吗？
答案1
Vega ROCm（用于挖矿等的驱动程序堆栈的 opencl 组件）需要 pcie gen3 才能工作。这是因为它使用称为原子的硬件系统调用，而 gen1 或 2 不支持这些调用。因此，所有卡都必须连接到支持 gen3 的 pcie 插槽。