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cuda texture问题
血恋龙城
2017-12-25 04:35:12
提示texture不是模板
需要加什么头文件吗?
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cuda texture问题
提示texture不是模板 需要加什么头文件吗?
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2020-12-10
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不是 ,是vs没有识别这个命令。
CUDA
图像处理 不带
texture
用
CUDA
处理图像的一个demo,这个demo中用到了opencv,但是未使用
texture
CUDA
cpp class
texture
demo
CUDA
cpp class
texture
demo MD5:a740adf3cbdbd2dcf823a120a0eec9d7
cuda
_cpp_class_
texture
_demo.rar
OpenGL-自主高性能三维GIS平台架构与实现
1.采用C++与OpenGL实现一套高性能的GIS平台 2. Google Map数据的加载 3. 四叉树的形式管理场景 4. 地图的浏览,漫游,支持指定点缩放和旋转 5. 多线程数据任务加载; 6. 地图投影支持,支持坐标转换 8. OpenGL4.3规范绘制管理 9 .GPU数据压缩,性能N倍提升 10. Instance ,3D
Texture
Array 的方式
cuda
检测工具 devicequery.zip(不含源代码,源代码在
cuda
sdk 8.0里)
cuda
检测工具 devicequery.zip(不含源代码,源代码在
cuda
sdk 8.0里) deviceQuery.exe Starting...
CUDA
Device Query (Runtime API) version (
CUDA
RT static linking) Detected 1
CUDA
Capable device(s) Device 0: "GeForce GTX 760"
CUDA
Driver Version / Runtime Version 9.2 / 8.0
CUDA
Capability Major/Minor version number: 3.0 Total amount of global memory: 2048 MBytes (2147483648 bytes) ( 6) Multiprocessors, (192)
CUDA
Cores/MP: 1152
CUDA
Cores GPU Max Clock rate: 1137 MHz (1.14 GHz) Memory Clock rate: 3004 Mhz Memory Bus Width: 256-bit L2 Cache Size: 524288 bytes Maximum
Texture
Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D
Texture
Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D
Texture
Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes
Texture
alignment: 512 bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled
CUDA
Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Model)
cuda
检测工具 devicequery.exe
deviceQuery.exe Starting...
CUDA
Device Query (Runtime API) version (
CUDA
RT static linking) Detected 1
CUDA
Capable device(s) Device 0: "GeForce GTX 650"
CUDA
Driver Version / Runtime Version 9.1 / 8.0
CUDA
Capability Major/Minor version number: 3.0 Total amount of global memory: 2048 MBytes (2147483648 bytes) ( 2) Multiprocessors, (192)
CUDA
Cores/MP: 384
CUDA
Cores GPU Max Clock rate: 1072 MHz (1.07 GHz) Memory Clock rate: 2500 Mhz Memory Bus Width: 128-bit L2 Cache Size: 262144 bytes Maximum
Texture
Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D
Texture
Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D
Texture
Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes
Texture
alignment: 512 bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled
CUDA
Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Model) Device supports Unified Addressing (UVA): Yes Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: deviceQuery,
CUDA
Driver =
CUDA
RT,
CUDA
Driver Version = 9.1,
CUDA
Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 650 Result = PASS
CUDA
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CUDA
CUDA™是一种由NVIDIA推出的通用并行计算架构,该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构(ISA)以及GPU内部的并行计算引擎。
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CUDA™是一种由NVIDIA推出的通用并行计算架构,该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构(ISA)以及GPU内部的并行计算引擎。
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