Hi,
I tried to run the GPU benchmarks JAC_production_NPT and NVE and
Cellulose_Production_NPT and NVE using CUDA 5 on Nvidia K20x. But it stuck
at some point, and after I cancel the run by cntrl+c, it says:
cudaMemcpyToSymbol: SetSim copy to Sim failed
The last part of the "mdout" file says:
--------------------------------------------------------------------------------
3. ATOMIC COORDINATES AND VELOCITIES
--------------------------------------------------------------------------------
begin time read from input coords = 6.000 ps
Number of triangulated 3-point waters found: 7023
Sum of charges from parm topology file = -11.00000006
Assuming uniform neutralizing plasma
..............................................................................
Is it expected?
The K20x GPU is active, I can run other cuda program on it.
The device query says:
Device 0: "Tesla K20Xm"
CUDA Driver Version / Runtime Version 5.0 / 5.0
CUDA Capability Major/Minor version number: 3.5
Total amount of global memory: 5760 MBytes (6039339008
bytes)
(14) Multiprocessors x (192) CUDA Cores/MP: 2688 CUDA Cores
GPU Clock rate: 732 MHz (0.73 GHz)
Memory Clock rate: 2600 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 1572864 bytes
Max Texture Dimension Size (x,y,z) 1D=(65536),
2D=(65536,65536), 3D=(4096,4096,4096)
Max Layered Texture Size (dim) x layers 1D=(16384) x 2048,
2D=(16384,16384) 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 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: 132 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device
simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.0, CUDA Runtime
Version = 5.0, NumDevs = 1, Device0 = Tesla K20Xm
Best Regards
Ashraf
--------------------------------------------------
M Ashraf Bhuiyan, PhD
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Received on Wed Jan 09 2013 - 14:30:03 PST
