Jetson vs Kayla (compute capability), which one to choose ?

Hello there,

Pls consider the following configurations:

  1. Kayla devkit with GT640 (with GDDR5)
  2. jetson devkit with Tegra k1

From the https://developer.nvidia.com/cuda-gpus site I learn option 1 is compute capability 3.5 . So far, apart from this article http://www.anandtech.com/show/7905/nvidia-announces-jetson-tk1-dev-board-adds-erista-to-tegra-roadmap (which says it is 3.2 ) i have no idea what the compute capability of tegra k1 is.

So here is my question: Between 1 & 2 which has higher compute capability ? Could somebody run cudadevicequery for both options and post here ?

Thank you,
S

I guess I found the answer to the first question here. https://devtalk.nvidia.com/default/topic/719503/embedded-systems/jetson-tegra-k1-double-precision-performance/post/4174452/#4174452

But still would be great if someone could dump the cudadevicequery output here. Also could someone point me to an online resource comparing compute capability 3.2 vs 3.5 ?

./deviceQuery Starting…

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

Detected 1 CUDA Capable device(s)

Device 0: “GK20A”
CUDA Driver Version / Runtime Version 6.0 / 6.0
CUDA Capability Major/Minor version number: 3.2
Total amount of global memory: 1746 MBytes (1831051264 bytes)
( 1) Multiprocessors, (192) CUDA Cores/MP: 192 CUDA Cores
GPU Clock rate: 960 MHz (0.96 GHz)
Memory Clock rate: 924 Mhz
Memory Bus Width: 64-bit
L2 Cache Size: 131072 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: 32768
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: No
Integrated GPU sharing Host Memory: Yes
Support host page-locked memory mapping: No
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 0 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.0, CUDA Runtime Version = 6.0, NumDevs = 1, Device0 = GK20A
Result = PASS