NUREMBERG, GERMANY, March 29, 2016 – The HSA (Heterogeneous System Architecture) Foundation announced that Foundation President Dr. John Glossner will deliver a keynote address at ARCS 2016 – International Conference on Architecture of Computing Systems, being held April 4-7 in Nuremberg, Germany. The focus of the 2016 conference will be on Heterogeneity in Architectures and Systems – from Embedded to HPC.
In his talk, Dr. Glossner will discuss the HSA computing platform infrastructure including features/advantages across computing platforms – from mobile and tablets to desktops to HPC and servers. The talk will also focus on technical issues solved by HSA technologies and important new developments that are bringing the industry closer to broad adoption of heterogeneous computing.
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
HSA Foundation keynote: “Heterogeneous Systems Era” at ARCS 2016
Thursday, April 7, 9:30 AM (UTC+2)
ARCS 2016: Faculty of Business, Economics and Law, Friedrich-Alexander University Erlangen-Nürnberg
- Learn why we need to bring compute app portability to heterogeneous platforms
- Glean more about the HSA vision – discover how devices, with the eventual adoption of heterogeneous computing, will be able to run applications at much higher performance and lower power
- How HSA adds value to the SoC and the HSA ecosystem
- How end users benefit from HSA
For more information about ARCS 2016, visit: www3.cs.fau.de/arcs2016.
About the HSA Foundation
The HSA (Heterogeneous System Architecture) Foundation is a non-profit consortium of SoC IP vendors, OEMs, Academia, SoC vendors, OSVs and ISVs, whose goal is making programming for parallel computing easy and pervasive. 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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