How do I use SYCL for heterogeneous computing?

SYCL (C++ Single-source Heterogeneous Programming) is a high-level programming model designed for heterogeneous computing, enabling developers to write code that can execute on various devices such as CPUs, GPUs, and accelerators using a single-source file. This makes the development process more efficient and less error-prone.
SYCL, Heterogeneous Computing, C++, GPU Programming, OpenCL, Single-source Programming

#include <CL/sycl.hpp>

int main() {
    // Create a SYCL queue
    cl::sycl::queue queue;

    // Define data size
    const size_t dataSize = 1024;
    std::vector data(dataSize, 1); // Initialize the data array with 1s

    // Submit command group to the queue
    queue.submit([&](cl::sycl::handler& cgh) {
        // Create a buffer from the data array
        cl::sycl::buffer buffer(data.data(), cl::sycl::range<1>(dataSize));

        // Define the kernel
        cgh.parallel_for(cl::sycl::range<1>(dataSize), [=](cl::sycl::item<1> item) {
            buffer[item] *= 2; // Double each element
        });
    });

    // Wait for all operations to finish
    queue.wait();

    // Print the first few results
    for (size_t i = 0; i < 10; ++i) {
        std::cout << data[i] << " "; // Display the first 10 results
    }

    return 0;
}
    

SYCL Heterogeneous Computing C++ GPU Programming OpenCL Single-source Programming