.svg)
.svg)
.svg)
.svg)
.svg)
.svg)
.png)
Minisymposium Presentation
AMD XDNA Architecture from Laptops to Datacenters
Presenter
Mario is a member of technical staff in the AMD University Program at AMD. As part of this role he delivers training workshops for academics on the latest AMD tools and technologies. He is responsible for managing the Heterogenous Accelerated Compute Cluster globally. Recently he has been working on VNx integrating an open source 100 GbE network stack on Alveo platforms for the Vitis flow. He is also part of the PYNQ project – a Python-based open-source productivity environment for Zynq, Zynq MPSoC and Alveo, where he contributed with the Composable Overlays. Before joining AMD, Mario completed his PhD in the Autonomous University of Madrid, which was focused on exploring High Level Synthesis tools in the context of networking. Mario has a background on electronics and digital design.
Description
In this presentation, I will introduce the AMD University Program and the academic solutions available for the community. Then, I will introduce the AMD Ryzen AI which is the first in a new class of Neural Processing Units (NPU) designed for x86 computers. Built on the AMD XDNA™ spatial dataflow computer architecture, the NPU consists of a tiled array of AI Engine processors, a set of VLIW vector processors with adaptable interconnect, designed to offer lower latency and better energy efficiency. Finally, I will present a set of platforms enabled by the AMD XDNA™ and the software tools available.