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ArrayFire is a high performance software library for parallel computing with an easy-to-use API. Its array based function set makes parallel programming simple.

ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it platform independent and highly portable.

A few lines of code in ArrayFire can replace dozens of lines of parallel computing code, saving you valuable time and lowering development costs.

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Example

#include <arrayfire.h>
#include <cstdio>

using namespace af;

int main(int argc, char *argv[])
{
    try {

        // Select a device and display arrayfire info
        int device = argc > 1 ? atoi(argv[1]) : 0;
        af::setDevice(device);
        af::info();

        printf("Create a 5-by-3 matrix of random floats on the GPU\n");
        array A = randu(5,3, f32);
        af_print(A);

        printf("Element-wise arithmetic\n");
        array B = sin(A) + 1.5;
        af_print(B);

        printf("Negate the first three elements of second column\n");
        B(seq(0, 2), 1) = B(seq(0, 2), 1) * -1;
        af_print(B);

        printf("Fourier transform the result\n");
        array C = fft(B);
        af_print(C);

        printf("Grab last row\n");
        array c = C.row(end);
        af_print(c);

        printf("Create 2-by-3 matrix from host data\n");
        float d[] = { 1, 2, 3, 4, 5, 6 };
        array D(2, 3, d, af::afHost);
        af_print(D);

        printf("Copy last column onto first\n");
        D.col(0) = D.col(end);
        af_print(D);

        // Sort A
        printf("Sort A and print sorted array and corresponding indices\n");
        array vals, inds;
        sort(vals, inds, A);
        af_print(vals);
        af_print(inds);

    } catch (af::exception& e) {
        fprintf(stderr, "%s\n", e.what());
        throw;
    }
}

Documentation

You can find our complete documentation over here.

Quick links:

Build ArrayFire from source

To build ArrayFire from source, please follow the instructions on our wiki.

Download ArrayFire Installers

We are currently working on bring out installers for the open source version. Please try to build this using our wiki page.

Installers for the older (commercial) versions of ArrayFire can be freely downloaded from here. This will require licensing.

Contribute

Contributions of any kind are welcome! Please refer to this document to learn more about how you can get involved with ArrayFire.

Contact us

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ArrayFire: a general purpose GPU library.

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  • C++ 89.5%
  • C 7.1%
  • Cuda 3.0%
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