Modern mobile and embedded System-on-Chip
(SoC) designs increasingly support GPU computing. This enables OEMs, ISVs and
even sensor and camera module designers to develop solutions that use GPU
computing to improve aspects such as performance, energy efficiency, time to
market, flexibility and portability of many applications including video codecs,
Natural User Interfaces (NUIs) such as gesture and voice detection, advanced
still and moving image processing, computer vision and computational
photography. This webinar will access the status of industry adoption for GPU
Compute, then explore key aspects of the ARM® Mali™ GPU Compute architecture,
and finally use a selection of real life examples from ecosystem partners to
illustrate the benefits of this technology.

What will the registrant learn:

  • Industry status/adoption of GPU Compute technologies
  • Key characteristics of the ARM® Mali™ GPU Compute architecture
  • How OEMs and ISVs are improving their use cases using GPU Compute on Mali

Who Should Attend:
 SiPs, OEMs, ISVs,
Managers/Architects, etc

Mijat, Visual Computing Marketing Manager, Media Processing Division,

Since joining ARM® in 2004, Roberto has worked as a Software
Engineer on a multitude of projects: enabling SMP operating systems,
benchmarking, 3D graphics, hardware validation and software optimization.
Subsequently, as a Senior Software Architect, he spent most of his time driving
evangelical and enabling activities focused on advanced features of the ARM
application processor architecture: multi-core, virtualization and power
management. In his current role Roberto focuses on GPU Computing and he is
responsible for use-cases and ecosystem enablement. Roberto holds a degree in
Artificial Intelligence, Natural Language Processing and Virtual Reality, and
his research focused on parallelization of multimedia codecs.