Products using OpenCL on ARM MALI are coming

mali-product-feature-CLSDK-940x300_vX1The past year you might not have heard much from OpenCL-on-ARM, besides the Arndale developer-board. You have heard just a small portion of what has been going on.

Yesterday the (Linux) OpenCL-drivers for the Chromebook (which contains an ARM MALI T604) the have been released and several companies will launch products using OpenCL.

Below are a few interviews with companies who have built such products. This will give an idea of what is possible on those low-power devices. To first get an idea of what this MALI T604 GPU can do if it comes to OpenCL, here a video from the 2013-edition of the LEAP-conference we co-organised.

http://www.youtube.com/watch?v=UQXfjvcqiQg

Understand that the whole board takes less than ~11.6 Watts – that is including the CPU, GPU, memory , interconnects, networking, SD-card, power-adapter, etc. Only a small portion of that is the GPU. I don’t know the exact specs as this developer-board was not targeted towards energy-optimisation goals. I do know this is less than the 225 Watts of a discrete GPU alone.

Interviews with ARM partners

Apical

Michael Tusch, Founder and CEO of Apical Ltd, describes how GPU Compute has emerged as the best candidate for hardware-based graphics acceleration. Apical is a member of the ARM ecosystem and specializes in advanced imaging and video technology. Their Assertive Display demonstration in this video shows how a smart device can adapt to viewing conditions such as high sunlight levels in order to improve the user experience and improve battery life.

http://www.youtube.com/watch?v=_j_MDoKvYQY

eyeSight

Gideon Shmuel, CEO of eyeSight, describes how GPU Compute is enabling new opportunities in the machine vision market by enhancing a system’s processing capabilities and reducing time to market. EyeSight is a member of the ARM ecosystem whose gesture recognition technology brings next-generation user interface to mass-market devices.

http://www.youtube.com/watch?v=VwbNpV-YUjA

See also this PR text.

Aptina

Mikael Bourges-Sevenier, Director of High Performance Imaging at Aptina Imaging, describes how GPU Compute is reducing time to market by enabling software-based image processing solutions on the GPU. A member of the ARM ecosystem, Aptina is one of the world’s leading imaging-solutions company which provides image sensors and image processors to customers across the globe.

http://www.youtube.com/watch?v=T-FAYkO01TI

Ittiam Systems

Marc Guillamet, VP Marketing & Managing Director for Europe at Ittiam Systems®, describes how GPU Compute can accelerate video compression and decompression whilst consuming far less energy than CPU-only solutions. Ittiam Systems is a member of the ARM ecosystem and specializes in Digital Signal Processing (DSP) based applications in Multimedia and Communications domains.

http://www.youtube.com/watch?v=E9diKxiG-Pw

See also this PR text.

What’s more?

Not all partners are ready to present their new product, so expect more in the coming half year. ATM identifies these use-cases, as discussed in this “don’t be left behind” Webinar, discussing why you cannot ignore GPGPU anymore:

OpenCLonARM-usecases

Do you also want your ARM-software to run faster? We help you port your software and algorithms to OpenCL-on-ARM.

Does you or your company also have a product using OpenCL on ARM MALI? Put it in the comments for the world to see.

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