Mario Ruiz

AMD

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. Mario has worked 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. Mario has over 10 years of experience of designing high performance implementations for FPGAs and SoC. Over the past 5 years, Mario has helped academics and researchers to leverage AMD and Xilinx technologies to achieve the best possible performance/efficiency by providing direct support and delivering training. 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 high-speed networking. Mario has a background on electronics, digital design and computer architecture.