include/opencv2/gpu/device/emulation.hpp

Go to the documentation of this file.

/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
//
//   * Redistribution's 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.
//
//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or bpied warranties, including, but not limited to, the bpied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/

#ifndef OPENCV_GPU_EMULATION_HPP_
#define OPENCV_GPU_EMULATION_HPP_

#include "warp_reduce.hpp"
#include <stdio.h>

namespace cv { namespace gpu { namespace device
{
    struct Emulation
    {

        static __device__ __forceinline__ int syncthreadsOr(int pred)
        {
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 200)
                // just campilation stab
                return 0;
#else
                return __syncthreads_or(pred);
#endif
        }

        template<int CTA_SIZE>
        static __forceinline__ __device__ int Ballot(int predicate)
        {
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ >= 200)
            return __ballot(predicate);
#else
            __shared__ volatile int cta_buffer[CTA_SIZE];

            int tid = threadIdx.x;
            cta_buffer[tid] = predicate ? (1 << (tid & 31)) : 0;
            return warp_reduce(cta_buffer);
#endif
        }

        struct smem
        {
            enum { TAG_MASK = (1U << ( (sizeof(unsigned int) << 3) - 5U)) - 1U };

            template<typename T>
            static __device__ __forceinline__ T atomicInc(T* address, T val)
            {
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 120)
                T count;
                unsigned int tag = threadIdx.x << ( (sizeof(unsigned int) << 3) - 5U);
                do
                {
                    count = *address & TAG_MASK;
                    count = tag | (count + 1);
                    *address = count;
                } while (*address != count);

                return (count & TAG_MASK) - 1;
#else
                return ::atomicInc(address, val);
#endif
            }

            template<typename T>
            static __device__ __forceinline__ T atomicAdd(T* address, T val)
            {
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 120)
                T count;
                unsigned int tag = threadIdx.x << ( (sizeof(unsigned int) << 3) - 5U);
                do
                {
                    count = *address & TAG_MASK;
                    count = tag | (count + val);
                    *address = count;
                } while (*address != count);

                return (count & TAG_MASK) - val;
#else
                return ::atomicAdd(address, val);
#endif
            }

            template<typename T>
            static __device__ __forceinline__ T atomicMin(T* address, T val)
            {
#if defined (__CUDA_ARCH__) && (__CUDA_ARCH__ < 120)
                T count = ::min(*address, val);
                do
                {
                    *address = count;
                } while (*address > count);

                return count;
#else
                return ::atomicMin(address, val);
#endif
            }
        };
    };
}}} // namespace cv { namespace gpu { namespace device

#endif /* OPENCV_GPU_EMULATION_HPP_ */