cuda-samples/Samples/3_CUDA_Features/newdelete/container.hpp
2022-01-13 11:35:24 +05:30

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C++

/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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////////////////////////////////////////////////////////////////////////////////
//
// Container parent class.
//
////////////////////////////////////////////////////////////////////////////////
template <class T>
class Container {
public:
__device__ Container() { ; }
__device__ virtual ~Container() { ; }
__device__ virtual void push(T e) = 0;
__device__ virtual bool pop(T& e) = 0;
};
////////////////////////////////////////////////////////////////////////////////
//
// Vector class derived from Container class using linear memory as data storage
// NOTE: This education purpose implementation has restricted functionality.
// For example, concurrent push and pop operations will not work
// correctly.
//
////////////////////////////////////////////////////////////////////////////////
template <class T>
class Vector : public Container<T> {
public:
// Constructor, data is allocated on the heap
// NOTE: This must be called from only one thread
__device__ Vector(int max_size) : m_top(-1) { m_data = new T[max_size]; }
// Constructor, data uses preallocated buffer via placement new
__device__ Vector(int max_size, T* preallocated_buffer) : m_top(-1) {
m_data = new (preallocated_buffer) T[max_size];
}
// Destructor, data is freed
// NOTE: This must be called from only one thread
__device__ ~Vector() {
if (m_data) delete[] m_data;
}
__device__ virtual void push(T e) {
if (m_data) {
// Atomically increment the top idx
int idx = atomicAdd(&(this->m_top), 1);
m_data[idx + 1] = e;
}
}
__device__ virtual bool pop(T& e) {
if (m_data && m_top >= 0) {
// Atomically decrement the top idx
int idx = atomicAdd(&(this->m_top), -1);
if (idx >= 0) {
e = m_data[idx];
return true;
}
}
return false;
}
private:
int m_size;
T* m_data;
int m_top;
};