%\texttt{
\begin{table}[H]
\centering\footnotesize%\footnotesize\texttt{
\begin{tabular}{ll}
\hline
  Device 0:									   &  "Tesla K20c"\T\\
  CUDA Driver Version / Runtime Version        &  5.0 / 5.0\\
  CUDA Capability Major/Minor version number:  &  3.5\\
  Total amount of global memory:               &  4800 MBytes (5032706048 bytes)\\
  (13) Multiprocessors x (192) CUDA Cores/MP:  &  2496 CUDA Cores\\
  GPU Clock rate:                              &  706 MHz (0.71 GHz)\\
  Memory Clock rate:                           &  2600 Mhz\\
  Memory Bus Width:                            &  320-bit\\
  L2 Cache Size:                               &  1310720 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\B\\
  \hline
\end{tabular}%}
\caption{Technical characteristics of the GPU on which this project was implemented and tested. Data obtained by means of the \texttt{deviceQuery.cu} script provided with the CUDA libraries (\url{http://docs.nvidia.com/cuda/cuda-samples/index.html}).}
\end{table}
%Device 0: "Tesla K20c"\\
%  CUDA Driver Version / Runtime Version          5.0 / 5.0\\
%  CUDA Capability Major/Minor version number:    3.5\\
%  Total amount of global memory:                 4800 MBytes (5032706048 bytes)\\
%  (13) Multiprocessors x (192) CUDA Cores/MP:    2496 CUDA Cores\\
%  GPU Clock rate:                                706 MHz (0.71 GHz)\\
%  Memory Clock rate:                             2600 Mhz\\
%  Memory Bus Width:                              320-bit\\
%  L2 Cache Size:                                 1310720 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 K20c\\
%}