PC Config：AMD 双核 E-350 1.6GhzAMD 6310 高清显卡
我正在Windows 8上运行VMware Player上的Ubuntu 14.04，并试图弄清楚我是否可以在ubunutu上运行OpenCL，即使用VM。
我正在阅读有关如何安装 OpenCL 的手册，第一步给出了此输出。有人可以看到输出并告诉我应该怎么做吗？我可以在虚拟机上运行 OpenCL 吗？
1）首先，我们需要检查我们的系统配置，以确定是否可以在我们的机器中安装 OpenCL。我们可以在终端上运行"Hardinfo"命令来获取系统配置的完整摘要。如果我们的系统中没有安装Hardinfo命令，那么我们可以通过在终端上运行以下命令轻松安装它：sudo apt-get install hardinfo2）如果我们的系统可以支持OpenCL，那么我们可以进入OpenCL的实际安装。3）从英特尔网站下载面向 OpenCL 应用的英特尔 SDK。.....
varun@varun-virtual-machine:/$ hardinfo
程序"硬信息"当前未安装。您可以通过键入以下内容来安装它：sudo apt-get install hardinfo
varun@varun-virtual-machine:/$ sudo apt-get install hardinfo
Reading package lists... Done
Building dependency tree
Reading state information... Done
您可能需要运行"apt-get -f install"来更正以下问题：
以下包具有未满足的依赖项：
fglrx : Depends: fglrx-core but it is not installable
Recommends: fglrx-amdcccle but it is not going to be installed
E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution).
从 Ubuntu 18.04 开始，要在仅使用 CPU 的环境（如 VM）上运行 OpenCL 版本，您只需要：
sudo apt-get install libpocl2
然后clinfo会告诉你，例如：
Number of platforms 1
Platform Name Portable Computing Language
Platform Vendor The pocl project
Platform Version OpenCL 1.2 pocl 1.4, None+Asserts, LLVM 9.0.1, RELOC, SLEEF, DISTRO, POCL_DEBUG
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_icd
Platform Extensions function suffix POCL
Platform Name Portable Computing Language
Number of devices 1
Device Name pthread-Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
Device Vendor GenuineIntel
Device Vendor ID 0x6c636f70
Device Version OpenCL 1.2 pocl HSTR: pthread-x86_64-pc-linux-gnu-skylake
Driver Version 1.4
Device OpenCL C Version OpenCL C 1.2 pocl
Device Type CPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 8
Max clock frequency 2807MHz
Device Partition (core)
Max number of sub-devices 8
Supported partition types equally, by counts
Supported affinity domains (n/a)
Max work item dimensions 3
Max work item sizes 4096x4096x4096
Max work group size 4096
Preferred work group size multiple 8
Preferred / native vector sizes
char 16 / 16
short 16 / 16
int 8 / 8
long 4 / 4
half 0 / 0 (n/a)
float 8 / 8
double 4 / 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 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 24638332928 (22.95GiB)
Error Correction support No
Max memory allocation 8589934592 (8GiB)
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 6291456 (6MiB)
Global Memory cache line size 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 536870912 pixels
Max 1D or 2D image array size 2048 images
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
Local memory type Global
Local memory size 4194304 (4MiB)
Max number of constant args 8
Max constant buffer size 4194304 (4MiB)
Max size of kernel argument 1024
Queue properties
Out-of-order execution Yes
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 16777216 (16MiB)
Built-in kernels (n/a)
Device Extensions 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_khr_3d_image_writes cl_khr_fp64 cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp64
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Portable Computing Language
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [POCL]
clCreateContext(NULL, ...) [default] Success [POCL]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name Portable Computing Language
Device Name pthread-Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) Success (1)
Platform Name Portable Computing Language
Device Name pthread-Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1)
Platform Name Portable Computing Language
Device Name pthread-Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
ICD loader properties
ICD loader Name OpenCL ICD Loader
ICD loader Vendor OCL Icd free software
ICD loader Version 2.2.11
ICD loader Profile OpenCL 2.1
测试：
- WSL Ubuntu 20.04 on Windows
- Ubuntu 18.04， 20.04 on Github Actions （Azure VMs）
非常感谢 PoCL 团队使这成为可能！
可以在
虚拟机中运行 OpenCL，但您只能访问 CPU 设备。英特尔 SDK 将无法工作，因为它有严格的硬件要求，但 AMD SDK 安装正常。我在Windows 8 + VirtualBox下的Ubuntu 14.04 VM上运行AMD-APP-SDK-v2.8-RC-lnx64。您可以从此处获取 SDK：http://developer.amd.com/tools-and-sdks/opencl-zone/amd-accelerated-parallel-processing-app-sdk/download-archive/