Number of Copy Engines on Titan?

Accelerated Computing CUDA CUDA Programming and Performance
1

It’s fantastic that Titan has Tesla-class double-precision performance in a GeForce card, but does it also have two DMA copy engines? Could someone post the "deviceQuery" output for Titan?

2

I posed this question over on anandtech and here’s the answer:

1 copy engine. The full output of DeviceQuery is below.

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: “GeForce GTX TITAN”
CUDA Driver Version / Runtime Version 5.0 / 5.0
CUDA Capability Major/Minor version number: 3.5
Total amount of global memory: 6144 MBytes (6442123264 bytes)
(14) Multiprocessors x (192) CUDA Cores/MP: 2688 CUDA Cores
GPU Clock rate: 876 MHz (0.88 GHz)
Memory Clock rate: 3004 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 1572864 bytes
Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65536), 3
D=(4096,4096,4096)
Max Layered Texture Size (dim) x layers 1D=(16384) x 2048, 2D=(16384,16
384) x 2048
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
Maximum sizes of each dimension of a block: 1024 x 1024 x 64
Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 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 Mo
del)
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 3 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simu
ltaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.0, CUDA Runtime Versi
on = 5.0, NumDevs = 1, Device0 = GeForce GTX TITAN

3

Thanks for posting that. I am seriously tempted to get one of these.

I don’t suppose anyone knows whether this card will work in TCC mode? I am guessing not but it sure would be nice if it did!

4

Titan does not support TCC mode, or any of the other device switches that are fully supported in Tesla GPUs.