7f4761ae52
This allows each model to initialise their arrays with a parallel approach, which yields the first touch required for good performance on NUMA architectures.
48 lines
998 B
C++
48 lines
998 B
C++
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// Copyright (c) 2015-16 Tom Deakin, Simon McIntosh-Smith,
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// University of Bristol HPC
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//
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// For full license terms please see the LICENSE file distributed with this
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// source code
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#pragma once
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#include <sstream>
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#include "Stream.h"
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#include "CL/sycl.hpp"
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#define IMPLEMENTATION_STRING "SYCL"
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template <class T>
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class SYCLStream : public Stream<T>
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{
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protected:
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// Size of arrays
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unsigned int array_size;
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// SYCL objects
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cl::sycl::queue *queue;
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cl::sycl::buffer<T> *d_a;
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cl::sycl::buffer<T> *d_b;
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cl::sycl::buffer<T> *d_c;
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public:
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SYCLStream(const unsigned int, const int);
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~SYCLStream();
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virtual void copy() override;
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virtual void add() override;
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virtual void mul() override;
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virtual void triad() override;
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virtual void init_arrays(T initA, T initB, T initC) override;
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virtual void read_arrays(std::vector<T>& a, std::vector<T>& b, std::vector<T>& c) override;
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};
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// Populate the devices list
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void getDeviceList(void);
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