ArrayFire: Write once, Run anywhere

Shehzan Mohammed ArrayFire 2 Comments

One of ArrayFire’s biggest features is the ability for code to be written just once and run on a plethora of devices. In this post, we show the outputs of af::info() from various devices available to us. Desktop Processors AMD GPU/CPU (OpenCL) ArrayFire v2.1 (OpenCL, 64-bit Linux, build 4b9115c) License: Standalone (/home/pavan/.arrayfire.lic) Addons: MGL4, DLA, SLA Platform: AMD Accelerated Parallel Processing, Driver: 1526.3 (VM) [0]: Tahiti, 2864 MB, OpenCL Version: 1.2 1 : AMD FX(tm)-8350 Eight-Core Processor, 7953 MB, OpenCL Version: 1.2 Compute Device: [0] AMD APU (OpenCL) ArrayFire v2.1 (OpenCL, 64-bit Linux, build 586ef59) License: Standalone (/home/arrayfire/.arrayfire.lic) Addons: MGL4, DLA, SLA Platform: AMD Accelerated Parallel Processing, Driver: 1445.5 (VM) [0]: Spectre, 624 MB, OpenCL Version: 1.2 1 : AMD …

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 …

OpenCL on Mobile Devices

Pavan Yalamanchili Android, OpenCL 6 Comments

While Google has openly displayed its opposition to OpenCL, many hardware manufacturers seem to be putting their weight behind OpenCL. Qualcomm, ARM, Imagination and Vivante support OpenCL on their GPUs. Android Phone manufacturers – Samsung, HTC, Sony and Amazon – ship OpenCL drivers and libraries on their latest generation of devices. Considering the prevalence of OpenCL on shipped devices, it is likely most Renderscript implementations have an OpenCL backend. To consolidate a list of OpenCL supported Android devices, we created a publicly accessable Google document seen below. If you have an Android phone that is not listed, we’d appreciate it if you contributed to the list. To test if OpenCL is supported on your phone, you can use OpenCL Info …