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xgboost/cub/cub/grid/grid_queue.cuh view on Meta::CPAN
#include "../util_namespace.cuh"
#include "../util_debug.cuh"
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/**
* \addtogroup GridModule
* @{
*/
/**
* \brief GridQueue is a descriptor utility for dynamic queue management.
*
* \par Overview
* GridQueue descriptors provides abstractions for "filling" or
* "draining" globally-shared vectors.
*
* \par
* A "filling" GridQueue works by atomically-adding to a zero-initialized counter,
* returning a unique offset for the calling thread to write its items.
* The GridQueue maintains the total "fill-size". The fill counter must be reset
* using GridQueue::ResetFill by the host or kernel instance prior to the kernel instance that
* will be filling.
*
* \par
* Similarly, a "draining" GridQueue works by works by atomically-incrementing a
* zero-initialized counter, returning a unique offset for the calling thread to
* read its items. Threads can safely drain until the array's logical fill-size is
* exceeded. The drain counter must be reset using GridQueue::ResetDrain or
* GridQueue::FillAndResetDrain by the host or kernel instance prior to the kernel instance that
* will be filling. (For dynamic work distribution of existing data, the corresponding fill-size
* is simply the number of elements in the array.)
*
* \par
* Iterative work management can be implemented simply with a pair of flip-flopping
* work buffers, each with an associated set of fill and drain GridQueue descriptors.
*
* \tparam OffsetT Signed integer type for global offsets
*/
template <typename OffsetT>
class GridQueue
{
private:
/// Counter indices
enum
{
FILL = 0,
DRAIN = 1,
};
/// Pair of counters
OffsetT *d_counters;
public:
/// Returns the device allocation size in bytes needed to construct a GridQueue instance
__host__ __device__ __forceinline__
static size_t AllocationSize()
{
return sizeof(OffsetT) * 2;
}
/// Constructs an invalid GridQueue descriptor
__host__ __device__ __forceinline__ GridQueue()
:
d_counters(NULL)
{}
/// Constructs a GridQueue descriptor around the device storage allocation
__host__ __device__ __forceinline__ GridQueue(
void *d_storage) ///< Device allocation to back the GridQueue. Must be at least as big as <tt>AllocationSize()</tt>.
:
d_counters((OffsetT*) d_storage)
{}
/// This operation sets the fill-size and resets the drain counter, preparing the GridQueue for draining in the next kernel instance. To be called by the host or by a kernel prior to that which will be draining.
__host__ __device__ __forceinline__ cudaError_t FillAndResetDrain(
OffsetT fill_size,
cudaStream_t stream = 0)
{
#if (CUB_PTX_ARCH > 0)
(void)stream;
d_counters[FILL] = fill_size;
d_counters[DRAIN] = 0;
return cudaSuccess;
#else
OffsetT counters[2];
counters[FILL] = fill_size;
counters[DRAIN] = 0;
return CubDebug(cudaMemcpyAsync(d_counters, counters, sizeof(OffsetT) * 2, cudaMemcpyHostToDevice, stream));
#endif
}
/// This operation resets the drain so that it may advance to meet the existing fill-size. To be called by the host or by a kernel prior to that which will be draining.
__host__ __device__ __forceinline__ cudaError_t ResetDrain(cudaStream_t stream = 0)
{
#if (CUB_PTX_ARCH > 0)
(void)stream;
d_counters[DRAIN] = 0;
return cudaSuccess;
#else
return CubDebug(cudaMemsetAsync(d_counters + DRAIN, 0, sizeof(OffsetT), stream));
#endif
}
/// This operation resets the fill counter. To be called by the host or by a kernel prior to that which will be filling.
__host__ __device__ __forceinline__ cudaError_t ResetFill(cudaStream_t stream = 0)
{
#if (CUB_PTX_ARCH > 0)
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