Device Vendor = Intel(R) Corporation Preferred vector width in chars: 16 Preferred vector width in shorts: 8 Preferred vector width in ints: 4 Preferred vector width in longs: 1 Preferred vector width in floats: 1 Preferred vector width in doubles: 0 Preferred vector width in...
CL_DEVICE_ADDRESS_BITS cl_uint 设备地址空间大小 CL_DEVICE_PREFERRED_VECTOR_WIDTH_CHARcl_uint 向量长度 CL_DEVICE_PREFERRED_VECTOR_WIDTH_SHORT CL_DEVICE_PREFERRED_VECTOR_WIDTH_INT CL_DEVICE_PREFERRED_VECTOR_WIDTH_LONG CL_DEVICE_PREFERRED_VECTOR_WIDTH_FLOAT CL_DEVICE_PREFERRED_VECTOR_WIDTH_DOUBLE 3、...
CL_DEVICE_PREFERRED_VECTOR_WIDTH_FLOAT: 1 CL_DEVICE_PREFERRED_VECTOR_WIDTH_DOUBLE: 1 CL_DEVICE_PREFERRED_VECTOR_WIDTH_HALF: 0 CL_DEVICE_NATIVE_VECTOR_WIDTH_CHAR: 1 CL_DEVICE_NATIVE_VECTOR_WIDTH_SHORT: 1 CL_DEVICE_NATIVE_VECTOR_WIDTH_INT: 1 CL_DEVICE_NATIVE_VECTOR_WIDTH_LONG: 1 CL_DEVICE...
Preferred vector width char: 1 Preferred vector width short: 1 Preferred vector width int: 1 Preferred vector width long: 1 Preferred vector width float: 1 Preferred vector width double: 1 Native vector width char: 32 Native vector width short: 16 Native vector width int: 8 Native vector wid...
clGetDeviceIndo(device,CL_DEVICE_PREFERRED_VECTOR_WIDTH_CHAR,sizeof(length),&length,NULL); //向量的初始化float4 f_vec=(float4)(1.1);//4个float, 1.1int4 i_vec=int4(1,2,3,4); float2 a_vec=(float2)(1.2,1.4); float4 b_vec=(float4)(a_vec,3.1,0.4);//读取、修改char16 msg=(...
CL_DEVICE_PREFERRED_VECTOR_WIDTH_SHORT 0x1007 CL_DEVICE_PREFERRED_VECTOR_WIDTH_INT 0x1008 CL_DEVICE_PREFERRED_VECTOR_WIDTH_LONG 0x1009 CL_DEVICE_PREFERRED_VECTOR_WIDTH_FLOAT 0x100A CL_DEVICE_PREFERRED_VECTOR_WIDTH_DOUBLE 0x100B CL_DEVICE_MAX_CLOCK_FREQUENCY ...
CL_DEVICE_PREFERRED_VECTOR_WIDTH_DOUBLE: 0 CL_DEVICE_NATIVE_VECTOR_WIDTH_INT: 1 CL_DEVICE_NATIVE_VECTOR_WIDTH_LONG: 1 CL_DEVICE_NATIVE_VECTOR_WIDTH_FLOAT: 1 CL_DEVICE_NATIVE_VECTOR_WIDTH_DOUBLE: 0 How can I solve the problem? Think you very much!
Number of devices:1Device Type:CL_DEVICE_TYPE_GPU Vendor ID:1002h Max compute units:3Max work items dimensions:3Max work items[0]:256Max work items[1]:256Max work items[2]:256Max work group size:256Preferred vector widthchar:16Preferred vector widthshort:8Preferred vector width...
Device ID: 4098 Board name: Max compute units: 2 Max work items dimensions: 3 Max work items[0]: 1024 Max work items[1]: 1024 Max work items[2]: 1024 Max work group size: 1024 Preferred vector width char: 16 Preferred vector width short: 8 ...
在实际编程中,Host通常就是我们所说的CPU中的代码,主要用来控制openCL在Device中的并发粒度。Device通常就是我们所说的GPU,可以进行并发执行,每个处理元素可以对应于一个内核函数的执行。在openCL中,我们通常将最细粒度的执行单元称之为 Work Item(工作项),多个Work Item可以构成一组 Work Group(工作组),同一个Wo...