ArrayFire Capability Update - July 2014

Oded Android, ArrayFire, C/C++, CUDA, Fortran, JAVA, OpenCL, R 1 Comment

In response to user requests for additional ArrayFire capabilities, we have decided to extend the library to have CPU fall back when OpenCL drivers for CPUs are not available. This means that ArrayFire code will be portable to both devices that have OpenCL setup and devices without it. This is done through the creation of additional backends. This will allow ArrayFire users to write their code once and have it run on multiple systems. We currently support the following systems and architectures: NVIDIA GPUs (Tesla, Fermi, and Kepler) AMD's GPUs, CPUs and APUs Intel's CPUs, GPUs and Xeon Phi Co-Processor Mobile and Embedded devices As part of this update process we are also looking at extending ArrayFire capabilities to low power systems such ...

Open Source Initiatives from ArrayFire

Pavan Announcements, ArrayFire, CUDA, Fortran, JAVA, Open Source, OpenCL, OpenGL, R Leave a Comment

At ArrayFire we like to use a lot of Free/Open Source software. We use various Linux distributions, Jenkins, Gitlab, gcc, emacs, vim and numerous other FOSS tools on a daily basis. We also love the idea of developing software collaboratively and openly. Last year we started working with AMD on CL Math Libraries. Internally we've had numerous discussions about contributing to the GPGPU community. However, it's neither simple nor straightforward to take a closed software Open Source. Earlier this year, we decided to take the first step and Open Source all of the ArrayFire library's  tertiary projects. This includes all of our ArrayFire library's language wrappers, examples, and source code used for our blog posts. All of our projects are hosted at our ...