SOURCE: HSA Foundation

HSA Foundation

April 21, 2016 16:54 ET

MEDIA ALERT - HSA Foundation Exhibiting at Embedded Vision Summit

SANTA CLARA, CA--(Marketwired - April 21, 2016) -  The HSA (Heterogeneous System Architecture) Foundation announced it will take part in the upcoming Embedded Vision Summit on May 2-4 at the Santa Clara Convention Center. The event focuses on helping product developers build better products using computer vision, showcasing the latest proven technologies and practical techniques in computer vision and deep learning. Featured keynotes include those from Google's Jeff Dean and NASA's Larry Matthies.

The HSA (Heterogeneous System Architecture) Foundation, a non-profit consortium of SoC IP vendors, OEMs, academia, SoC vendors, Operating System Vendors (OSVs) and Independent Software Vendors (ISVs), whose goal is making programming for parallel computing easy and pervasive.

In its booth in the Vision Technology Showcase, representatives of the HSA Foundation will explain how HSA can unlock the performance and power efficiency of parallel computing engines at the heart of embedded vision systems. HSA Foundation Members (AMD, ARM, Imagination Technologies, Luxoft and Qualcomm) will be present and participating. AMD representatives will be on hand to show a vision demonstration on a new HSA compliant product by AMD.

The Embedded Vision Summit will be held from Monday, May 2 through Wednesday, May 4, 2016. As part of the Summit, the Vision Technology Showcase will be held:

  • Monday, May 2, 4:00 PM - 7:00 PM
  • Tuesday, May 3, 5:15 PM - 7:30 PM

Vision Technology Showcase booth T5, Santa Clara Convention Center, Santa Clara, California

About the HSA Foundation
HSA members are building a heterogeneous computing ecosystem, rooted in industry standards, which combines scalar processing on the CPU with parallel processing on the GPU, while enabling high bandwidth access to memory and high application performance with low power consumption. HSA defines interfaces for parallel computation using CPU, GPU and other programmable and fixed function devices, while supporting a diverse set of high-level programming languages, and creating the foundation for next-generation, general-purpose computing.

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