Hi,
I encountered the same problem* "cudaMemcpyToSymbol: SetSim copy to Sim
failed"* when i ran pmemd. And I found the solution from Dr. Walker as
below.
I have to admit that I am very new to CUDA and all installation stuff, so
please help me with some suggestion.
My information:
- Cuda-5.0, nvcc release 5.0, amber11, ubuntu 12.10
- GPU GeForce GTX580
Does that mean I need to reinstall the nvcc v4.2? Do I have to start from
scratch? If yes, could you please instruct me how to do that?
It was really nightmare to deal with "conflict" of gcc, g++, and gfortran
while compiling pmemd cuda in amber11!!
Please help. Thank you.
Chinh
On Thu, Jan 10, 2013 at 6:23 AM, Ross Walker <ross.rosswalker.co.uk> wrote:
> Use NVCC v4.2 - Cuda 5.0 is not currently supported by the release version
> of the code as of Jan 9th 2013.
>
>
>
> On 1/9/13 2:02 PM, "Mohammad Ashraf Bhuiyan" <akasheee.gmail.com> wrote:
>
> >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
> >_______________________________________________
> >AMBER mailing list
> >AMBER.ambermd.org
> >http://lists.ambermd.org/mailman/listinfo/amber
>
>
>
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Received on Thu Apr 25 2013 - 21:30:03 PDT
