GPU Compute is now — don’t be left behind!
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 today
Who Should Attend:
SiPs, OEMs, ISVs, Managers/Architects, etc
Roberto Mijat, Visual Computing Marketing Manager, Media Processing Division, ARM
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.