math_kernel.h

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#ifndef __MATH_MATH_KERNEL_H__
#define __MATH_MATH_KERNEL_H__
/*
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 are met:
 
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     notice, this list of conditions and the following disclaimer.
 
   * Redistributions in binary form must reproduce the above
     copyright notice, this list of conditions and the following
     disclaimer in the documentation and/or other materials provided
     with the distribution.
 
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     contributors may be used to endorse or promote products derived
     from this software without specific prior written permission.
 
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 "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
 LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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 COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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 BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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*/
 
template< typename T >
__global__ void cmult_kernel(T * __restrict__ a,
                             const T c,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = c * a[i];
  }
}
 
template< typename T >
__global__ void masked_copy_kernel(T * __restrict__ a,
                                   T * __restrict__ b,
                                   int * __restrict__ mask,                    
                                   const int n,
                                   const int m) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < m; i += str) {
    a[mask[i+1]-1] = b[mask[i+1]-1];
  }
}
 
template< typename T >
__global__ void cfill_mask_kernel(T* __restrict__ a,
                                  const T c,
                                  const int size,
                                  int* __restrict__ mask,
                                  const int mask_size) {
 
    const int idx = blockIdx.x * blockDim.x + threadIdx.x;
    const int str = blockDim.x * gridDim.x;
 
    for (int i = idx; i < mask_size; i += str) { a[mask[i]-1] = c; }
}
 
template< typename T >
__global__ void cmult2_kernel(T * __restrict__ a,
                 T * __restrict__ b, 
                             const T c,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = c * b[i];
  }
}
 
template< typename T >
__global__ void cadd_kernel(T * __restrict__ a,
                            const T c,
                            const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] + c;
  }
}
 
template< typename T >
__global__ void cadd2_kernel(T * __restrict__ a,
                             T * __restrict__ b,
                             const T c,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = b[i] + c;
  }
}
 
template< typename T >
__global__ void cfill_kernel(T * __restrict__ a,
                             const T c,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = c;
  }
}
 
template< typename T >
__global__ void add2_kernel(T * __restrict__ a,
                            const T * __restrict__ b,
                            const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] + b[i];
  }
}
 
template< typename T >
__global__ void add3_kernel(T * __restrict__ a,
                            const T * __restrict__ b,
                            const T * __restrict__ c,
                            const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = b[i] + c[i];
  }
}
 
template< typename T >
__global__ void add2s1_kernel(T * __restrict__ a,
                              const T * __restrict__ b,
                              const T c1,
                              const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = c1 * a[i] + b[i];
  }
}
 
template< typename T >
__global__ void add2s2_many_kernel(T  * __restrict__  x,
                             const T ** p,
                             const T * alpha,
                 const int p_cur,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
 
  for (int i = idx; i < n; i+= str) {
    T tmp = 0.0;
    for (int j = 0; j < p_cur; j ++) {
      tmp += p[j][i]*alpha[j];
    }
    x[i] += tmp;
  }
}
 
template< typename T >
__global__ void add2s2_kernel(T * __restrict__ a,
                              const T * __restrict__ b,
                              const T c1,
                              const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] + c1 * b[i];
  }
}
 
template< typename T >
__global__ void addsqr2s2_kernel(T * __restrict__ a,
                                 const T * __restrict__ b,
                                 const T c1,
                                 const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] + c1 * (b[i] * b[i]);
  }
}
 
template< typename T >
__global__ void add3s2_kernel(T * __restrict__ a,
                              const T * __restrict__ b,
                              const T * __restrict__ c,
                              const T c1,
                              const T c2,
                              const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = c1 * b[i] + c2 * c[i];
  }
}
 
template< typename T >
__global__ void invcol1_kernel(T * __restrict__ a,
                               const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
  const T one = 1.0;
 
  for (int i = idx; i < n; i += str) {
    a[i] = one / a[i];
  }
}
 
template< typename T >
__global__ void invcol2_kernel(T * __restrict__ a,
                               const T * __restrict__ b,
                               const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
  
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] / b[i];
  }  
}
 
template< typename T >
__global__ void col2_kernel(T * __restrict__ a,
                            const T * __restrict__ b,
                            const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] * b[i];
  }  
}
 
template< typename T >
__global__ void col3_kernel(T * __restrict__ a,
                            const T * __restrict__ b,
                            const T * __restrict__ c,
                            const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = b[i] * c[i];
  }  
}
 
template< typename T >
__global__ void subcol3_kernel(T * __restrict__ a,
                               const T * __restrict__ b,
                               const T * __restrict__ c,
                               const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] - b[i] * c[i];
  }  
}
 
template< typename T >
__global__ void sub2_kernel(T * __restrict__ a,
                            const T * __restrict__ b,
                            const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] - b[i];
  }  
}
 
template< typename T >
__global__ void sub3_kernel(T * __restrict__ a,
                            const T * __restrict__ b,
                            const T * __restrict__ c,
                            const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = b[i] - c[i];
  }  
}
 
template< typename T >
__global__ void addcol3_kernel(T * __restrict__ a,
                               const T * __restrict__ b,
                               const T * __restrict__ c,
                               const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] + b[i] * c[i];
  }  
 
}
 
template< typename T >
__global__ void addcol4_kernel(T * __restrict__ a,
                               const T * __restrict__ b,
                               const T * __restrict__ c,
                               const T * __restrict__ d,
                               const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    a[i] = a[i] + b[i] * c[i] * d[i];
  }  
  
}
 
template< typename T >
__global__ void vdot3_kernel(T * __restrict__ dot,
                             const T * __restrict__ u1,
                             const T * __restrict__ u2,
                             const T * __restrict__ u3,
                             const T * __restrict__ v1,
                             const T * __restrict__ v2,
                             const T * __restrict__ v3,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  for (int i = idx; i < n; i += str) {
    dot[i] = u1[i] * v1[i]  + u2[i] * v2[i] + u3[i] * v3[i];
  }  
  
}
 
template< typename T>
__inline__ __device__ T reduce_warp(T val) {
  val += __shfl_down(val, 32);
  val += __shfl_down(val, 16);
  val += __shfl_down(val, 8);
  val += __shfl_down(val, 4);
  val += __shfl_down(val, 2);
  val += __shfl_down(val, 1);
  return val;
}
 
template< typename T >
__global__ void reduce_kernel(T * bufred, const int n) {
                
  T sum = 0;
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
  for (int i = idx; i<n ; i += str) 
  {
    sum += bufred[i];
  }
 
  __shared__ T shared[64];
  unsigned int lane = threadIdx.x % warpSize;
  unsigned int wid = threadIdx.x / warpSize;
 
  sum = reduce_warp<T>(sum);
  if (lane == 0)
    shared[wid] = sum;
  __syncthreads();
 
  sum = (threadIdx.x < blockDim.x / warpSize) ? shared[lane] : 0;
  if (wid == 0)
    sum = reduce_warp<T>(sum);
 
  if (threadIdx.x == 0)
    bufred[blockIdx.x] = sum;
}
 
template< typename T >
__global__ void glsc3_reduce_kernel( T * bufred,
                                    const int n,
                                    const int j
                                   ) {
   __shared__ T buf[1024] ;
   const int idx = threadIdx.x;
   const int y= blockIdx.x;
   const int step = blockDim.x;
 
   buf[idx]=0;
   for (int i=idx ; i<n ; i+=step)
   {
     buf[idx] += bufred[i*j + y];
   }
   __syncthreads();
 
   int i = 512;
   while (i != 0)
   {
     if(threadIdx.x < i && (threadIdx.x + i) < n )
     {
        buf[threadIdx.x] += buf[threadIdx.x + i] ;
     }
     i = i>>1;
     __syncthreads();
   }
 
   bufred[y] = buf[0];
}
 
template< typename T >
__global__ void glsc3_kernel(const T * a,
                             const T * b,
                             const T * c,
                             T * buf_h,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  const unsigned int lane = threadIdx.x % warpSize;
  const unsigned int wid = threadIdx.x / warpSize;
  
  __shared__ T shared[64];  
  T sum = 0.0;
  for (int i = idx; i < n; i+= str) {
    sum += a[i] * b[i] * c[i];
  }
 
  sum = reduce_warp<T>(sum);
  if (lane == 0)
    shared[wid] = sum;
  __syncthreads();
 
  sum = (threadIdx.x < blockDim.x / warpSize) ? shared[lane] : 0;
  if (wid == 0)
    sum = reduce_warp<T>(sum);
 
  if (threadIdx.x == 0)
    buf_h[blockIdx.x] = sum; 
}
 
template< typename T >
__global__ void glsc3_many_kernel(const T * a,
                                  const T ** b,
                                  const T * c,
                                  T * buf_h,
                                  const int j,
                                  const int n) {
 
  const int idx = blockIdx.x * blockDim.y + threadIdx.y;
  const int str = blockDim.y * gridDim.x;
  const int y = threadIdx.x;
 
  __shared__ T buf[1024];
  T tmp = 0;
  if(y < j){
    for (int i = idx; i < n; i+= str) {
      tmp += a[i] * b[threadIdx.x][i] * c[i];
    }
  }
 
  buf[threadIdx.y*blockDim.x+y] = tmp;
  __syncthreads();
 
  int i = blockDim.y>>1;
  while (i != 0) {
    if (threadIdx.y < i) {
      buf[threadIdx.y*blockDim.x +y] += buf[(threadIdx.y + i)*blockDim.x+y];
    }
    __syncthreads();
    i = i>>1;
  }
  if (threadIdx.y == 0) {
    if( y < j) {
      buf_h[j*blockIdx.x+y] = buf[y];
    }
  }
}
 
 
template< typename T >
__global__ void glsc2_kernel(const T * a,
                             const T * b,
                             T * buf_h,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  const unsigned int lane = threadIdx.x % warpSize;
  const unsigned int wid = threadIdx.x / warpSize;
  
  __shared__ T shared[64];  
  T sum = 0.0;
  for (int i = idx; i < n; i+= str) {
    sum += a[i] * b[i];
  }
 
  sum = reduce_warp<T>(sum);
  if (lane == 0)
    shared[wid] = sum;
  __syncthreads();
 
  sum = (threadIdx.x < blockDim.x / warpSize) ? shared[lane] : 0;
  if (wid == 0)
    sum = reduce_warp<T>(sum);
 
  if (threadIdx.x == 0)
    buf_h[blockIdx.x] = sum;
}
 
template< typename T >
__global__ void glsum_kernel(const T * a,
                             T * buf_h,
                             const int n) {
 
  const int idx = blockIdx.x * blockDim.x + threadIdx.x;
  const int str = blockDim.x * gridDim.x;
 
  const unsigned int lane = threadIdx.x % warpSize;
  const unsigned int wid = threadIdx.x / warpSize;
  
  __shared__ T shared[64];
  T sum = 0;    
  for (int i = idx; i<n ; i += str) 
  {
    sum += a[i];
  }
 
  sum = reduce_warp<T>(sum);
  if (lane == 0)
    shared[wid] = sum;
  __syncthreads();
 
  sum = (threadIdx.x < blockDim.x / warpSize) ? shared[lane] : 0;
  if (wid == 0)
    sum = reduce_warp<T>(sum);
 
  if (threadIdx.x == 0)
    buf_h[blockIdx.x] = sum;
 
}
 
#endif // __MATH_MATH_KERNEL_H__