OpenCL-Z Android

April 22nd, 2015

Developers have been using utility tools such as CPU-Z, GPU-Z, CUDA-Z, OpenCL-Z for a long time. These tools provide platform and hardware information in details and help developers quickly understand the hardware capabilities.

Recently, OpenCL has been supported by most of the latest mobile phones/tablets, as the mobile GPUs are gaining more compute power. OpenCL-A Android can help developer to quickly detect the availability of the OpenCL on a device, and get information about OpenCL-capable platform and devices.

In addition to detecting the OpenCL capability and getting device information, the OpenCL-Z Android is also able to measure the raw compute power in terms of ALU peak GFLOPS performance and memory bandwidth performance. These numbers would be useful for developers who want to take advantage of GPU compute capability of the modern GPU. The developers can roughly predict the performance of a certain algorithm targeting on a specific platform, or compare the raw compute performance among platforms.

The OpenCL-Z Android is a free software and it is now available on Google Play:
Download link at Google Play

The major features of OpenCL-Z Android:
– detect OpenCL availability;
– detect OpenCL driver library;
– display detailed OpenCL platform information;
– display detailed OpenCL device information;
– measure the raw compute performance and memory system bandwidth;
– export OpenCL information to sdcard;
– share OpenCL information with other applications, such as e-mail clients, note applications, social media and so on.

The OpenCL-Z Android has been tested on mobile devices with Qualcomm Snapdragon 8064, 8974, 8084, 8994 chipsets (with Adreno 305, 320, 330, 420, 430 GPUs), Samsung Exynos 5420, 5433 chipsets (with Mali T628, T760 GPUs), MediaTek MT6752 chipset (with Mali T760 GPU), Rockchip RK3288 (with Mali T764 GPU).

The OpenCL-Z Android should be able to support other chipsets. If your device is known to have OpenCL support, but this tool fails to detect it, please contact the developer of OpenCL-Z.

The author of OpenCL-Z is also trying to create a relatively complete list of mobile devices that support OpenCL, the list can be found at the OpenCL-Z official website . If you see any device supporting OpenCL not on that list, please send the author an email and help the list grow.

Master’s thesis: Parallel Computing for Digital Signal Processing on Mobile Device GPUs

May 27th, 2014

This master’s thesis by Markus Konrad analyzes the potentials of GPGPU on mobile devices such as smartphones or tablets. The question was, if and how the GPU on such devices can be used to speed up certain algorithms especially in the fields of image processing. GPU computing technologies such as OpenCL, OpenGL shaders, and Android RenderScript are assessed in the thesis. The abstract reads as follows:

This thesis studies how certain popular algorithms in the field of image and audio processing can be accelerated on mobile devices by means of parallel execution on their graphics processing unit (GPU). Several technologies with which this can be achieved are compared in terms of possible performance improvements, hardware and software support, as well as limitations of their programming model and functionality. The results of this research are applied in a practical project, consisting of performance improvements for marker detection in an Augmented Reality application for mobile devices.

The PDF is available for download and the source-code for some Android application prototypes is published on github.