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scan.cl
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scan.cl
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#define FPTYPE float
#define FPVECTYPE float4
__kernel void
reduce(__global const FPTYPE * in,
__global FPTYPE * isums,
const int n,
__local FPTYPE * lmem)
{
// First, calculate the bounds of the region of the array
// that this block will sum. We need these regions to match
// perfectly with those in the bottom-level scan, so we index
// as if vector types of length 4 were in use. This prevents
// errors due to slightly misaligned regions.
int region_size = ((n / 4) / get_num_groups(0)) * 4;
int block_start = get_group_id(0) * region_size;
// Give the last block any extra elements
int block_stop = (get_group_id(0) == get_num_groups(0) - 1) ?
n : block_start + region_size;
// Calculate starting index for this thread/work item
int tid = get_local_id(0);
int i = block_start + tid;
FPTYPE sum = 0.0f;
// Reduce multiple elements per thread
while (i < block_stop)
{
sum += in[i];
i += get_local_size(0);
}
// Load this thread's sum into local/shared memory
lmem[tid] = sum;
barrier(CLK_LOCAL_MEM_FENCE);
// Reduce the contents of shared/local memory
for (unsigned int s = get_local_size(0) / 2; s > 0; s >>= 1)
{
if (tid < s)
{
lmem[tid] += lmem[tid + s];
}
barrier(CLK_LOCAL_MEM_FENCE);
}
// Write result for this block to global memory
if (tid == 0)
{
isums[get_group_id(0)] = lmem[0];
}
}
// This kernel scans the contents of local memory using a work
// inefficient, but highly parallel Kogge-Stone style scan.
// Set exclusive to 1 for an exclusive scan or 0 for an inclusive scan
inline FPTYPE scanLocalMem(FPTYPE val, __local FPTYPE* lmem, int exclusive)
{
// Set first half of local memory to zero to make room for scanning
int idx = get_local_id(0);
lmem[idx] = 0.0f;
// Set second half to block sums from global memory, but don't go out
// of bounds
idx += get_local_size(0);
lmem[idx] = val;
barrier(CLK_LOCAL_MEM_FENCE);
// Now, perform Kogge-Stone scan
FPTYPE t;
for (int i = 1; i < get_local_size(0); i *= 2)
{
t = lmem[idx - i]; barrier(CLK_LOCAL_MEM_FENCE);
lmem[idx] += t; barrier(CLK_LOCAL_MEM_FENCE);
}
return lmem[idx-exclusive];
}
__kernel void
top_scan(__global FPTYPE * isums,
const int n,
__local FPTYPE * lmem)
{
FPTYPE val = 0.0f;
if (get_local_id(0) < n)
{
val = isums[get_local_id(0)];
}
val = scanLocalMem(val, lmem, 1);
if (get_local_id(0) < n)
{
isums[get_local_id(0)] = val;
}
}
__kernel void
bottom_scan(__global const FPTYPE * in,
__global const FPTYPE * isums,
__global FPTYPE * out,
const int n,
__local FPTYPE * lmem)
{
__local FPTYPE s_seed;
// Prepare for reading 4-element vectors
// Assume n is divisible by 4
__global FPVECTYPE *in4 = (__global FPVECTYPE*) in;
__global FPVECTYPE *out4 = (__global FPVECTYPE*) out;
int n4 = n / 4; //vector type is 4 wide
int region_size = n4 / get_num_groups(0);
int block_start = get_group_id(0) * region_size;
// Give the last block any extra elements
int block_stop = (get_group_id(0) == get_num_groups(0) - 1) ?
n4 : block_start + region_size;
// Calculate starting index for this thread/work item
int i = block_start + get_local_id(0);
int window = block_start;
// Seed the bottom scan with the results from the top scan (i.e. load the per
// block sums from the previous kernel)
FPTYPE seed = isums[get_group_id(0)];
// Scan multiple elements per thread
while (window < block_stop)
{
FPVECTYPE val_4;
if (i < block_stop) // Make sure we don't read out of bounds
{
val_4 = in4[i];
}
else
{
val_4.x = 0.0f;
val_4.y = 0.0f;
val_4.z = 0.0f;
val_4.w = 0.0f;
}
// Serial scan in registers
val_4.y += val_4.x;
val_4.z += val_4.y;
val_4.w += val_4.z;
// ExScan sums in shared memory
FPTYPE res = scanLocalMem(val_4.w, lmem, 1);
// Update and write out to global memory
val_4.x += res + seed;
val_4.y += res + seed;
val_4.z += res + seed;
val_4.w += res + seed;
if (i < block_stop) // Make sure we don't write out of bounds
{
out4[i] = val_4;
}
// Next seed will be the last value
// Last thread puts seed into smem.
if (get_local_id(0) == get_local_size(0)-1) s_seed = val_4.w;
barrier(CLK_LOCAL_MEM_FENCE);
// Broadcast seed to other threads
seed = s_seed;
// Advance window
window += get_local_size(0);
i += get_local_size(0);
}
int group_size = n/get_num_groups(0);
int tt = get_local_id(0) + get_group_id(0) * group_size;
if(tt < n - 1)
out[tt + 1] = out[tt];
if(tt == 0)
out[0] = 0;
}