每个块的CUDA线程数限制
为什么我不能使用max of每个块的CUDA线程数限制,cuda,Cuda,为什么我不能使用max of螺纹块的最大尺寸(x,y,z):(1024,1024,64)?如果我使用(1024,1024)它不工作,当我使用(32,32)或(1024)等时,它工作。是关于共享内存吗 以下是我从deviceQuery获得的结果: ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 3 CUDA Capable device(s)
螺纹块的最大尺寸(x,y,z):(1024,1024,64)
?如果我使用(1024,1024)
它不工作,当我使用(32,32)
或(1024)
等时,它工作。是关于共享内存吗
以下是我从deviceQuery获得的结果:
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 3 CUDA Capable device(s)
Device 0: "Tesla M2070"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 5375 MBytes (5636554752 bytes)
(14) Multiprocessors, ( 32) CUDA Cores/MP: 448 CUDA Cores
GPU Clock rate: 1147 MHz (1.15 GHz)
Memory Clock rate: 1566 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 786432 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
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: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
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): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Enabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 6 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 1: "Tesla M2070"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 5375 MBytes (5636554752 bytes)
(14) Multiprocessors, ( 32) CUDA Cores/MP: 448 CUDA Cores
GPU Clock rate: 1147 MHz (1.15 GHz)
Memory Clock rate: 1566 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 786432 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
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: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
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): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Enabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 20 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 2: "Tesla M2070"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 2.0
Total amount of global memory: 5375 MBytes (5636554752 bytes)
(14) Multiprocessors, ( 32) CUDA Cores/MP: 448 CUDA Cores
GPU Clock rate: 1147 MHz (1.15 GHz)
Memory Clock rate: 1566 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 786432 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
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: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
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): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Enabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 17 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
> Peer access from Tesla M2070 (GPU0) -> Tesla M2070 (GPU1) : No
> Peer access from Tesla M2070 (GPU0) -> Tesla M2070 (GPU2) : No
> Peer access from Tesla M2070 (GPU1) -> Tesla M2070 (GPU1) : No
> Peer access from Tesla M2070 (GPU1) -> Tesla M2070 (GPU2) : Yes
> Peer access from Tesla M2070 (GPU1) -> Tesla M2070 (GPU0) : No
> Peer access from Tesla M2070 (GPU1) -> Tesla M2070 (GPU1) : No
> Peer access from Tesla M2070 (GPU2) -> Tesla M2070 (GPU0) : No
> Peer access from Tesla M2070 (GPU2) -> Tesla M2070 (GPU1) : Yes
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.5, CUDA Runtime Version = 5.5, NumDevs = 3, Device0 = Tesla M2070, Device1 = Tesla M2070, Device2 = Tesla M2070
Result = PASS
/deviceQuery正在启动。。。
CUDA设备查询(运行时API)版本(CUDART静态链接)
检测到3个支持CUDA的设备
设备0:“特斯拉M2070”
CUDA驱动程序版本/运行时版本5.5/5.5
CUDA能力主要/次要版本号:2.0
全局内存总量:5375 MB(5636554752字节)
(14) 多处理器,(32)CUDA内核/MP:448个CUDA内核
GPU时钟频率:1147 MHz(1.15 GHz)
内存时钟频率:1566MHz
内存总线宽度:384位
二级缓存大小:786432字节
最大纹理尺寸大小(x,y,z)1D=(65536),2D=(6553665535),3D=(204820482048)
最大分层1D纹理大小,(num)层1D=(16384),2048层
最大分层2D纹理大小,(num)层2D=(16384,16384),2048层
恒定内存总量:65536字节
每个块的共享内存总量:49152字节
每个块可用的寄存器总数:32768
经纱尺寸:32
每个多处理器的最大线程数:1536
每个块的最大线程数:1024
螺纹块的最大尺寸(x、y、z):(1024、1024、64)
栅格尺寸的最大尺寸(x、y、z):(65535、65535、65535)
最大内存间距:2147483647字节
纹理对齐:512字节
并发复制和内核执行:有2个复制引擎
内核的运行时间限制:否
集成GPU共享主机内存:否
支持主机页锁定内存映射:是
表面对齐要求:是
设备具有ECC支持:已启用
设备支持统一寻址(UVA):是
设备PCI总线ID/PCI位置ID:6/0
计算模式:
装置1:“特斯拉M2070”
CUDA驱动程序版本/运行时版本5.5/5.5
CUDA能力主要/次要版本号:2.0
全局内存总量:5375 MB(5636554752字节)
(14) 多处理器,(32)CUDA内核/MP:448个CUDA内核
GPU时钟频率:1147 MHz(1.15 GHz)
内存时钟频率:1566MHz
内存总线宽度:384位
二级缓存大小:786432字节
最大纹理尺寸大小(x,y,z)1D=(65536),2D=(6553665535),3D=(204820482048)
最大分层1D纹理大小,(num)层1D=(16384),2048层
最大分层2D纹理大小,(num)层2D=(16384,16384),2048层
恒定内存总量:65536字节
每个块的共享内存总量:49152字节
每个块可用的寄存器总数:32768
经纱尺寸:32
每个多处理器的最大线程数:1536
每个块的最大线程数:1024
螺纹块的最大尺寸(x、y、z):(1024、1024、64)
栅格尺寸的最大尺寸(x、y、z):(65535、65535、65535)
最大内存间距:2147483647字节
纹理对齐:512字节
并发复制和内核执行:有2个复制引擎
内核的运行时间限制:否
集成GPU共享主机内存:否
支持主机页锁定内存映射:是
表面对齐要求:是
设备具有ECC支持:已启用
设备支持统一寻址(UVA):是
设备PCI总线ID/PCI位置ID:20/0
计算模式:
装置2:“特斯拉M2070”
CUDA驱动程序版本/运行时版本5.5/5.5
CUDA能力主要/次要版本号:2.0
全局内存总量:5375 MB(5636554752字节)
(14) 多处理器,(32)CUDA内核/MP:448个CUDA内核
GPU时钟频率:1147 MHz(1.15 GHz)
内存时钟频率:1566MHz
内存总线宽度:384位
二级缓存大小:786432字节
最大纹理尺寸大小(x,y,z)1D=(65536),2D=(6553665535),3D=(204820482048)
最大分层1D纹理大小,(num)层1D=(16384),2048层
最大分层2D纹理大小,(num)层2D=(16384,16384),2048层
恒定内存总量:65536字节
每个块的共享内存总量:49152字节
每个块可用的寄存器总数:32768
经纱尺寸:32
每个多处理器的最大线程数:1536
每个块的最大线程数:1024
螺纹块的最大尺寸(x、y、z):(1024、1024、64)
栅格尺寸的最大尺寸(x、y、z):(65535、65535、65535)
最大内存间距:2147483647字节
纹理对齐:512字节
并发复制和内核执行:有2个复制引擎
内核的运行时间限制:否
集成GPU共享主机内存:否
支持主机页锁定内存映射:是
表面对准要求:
Maximum number of threads per block: 1024