Start Date:9/9/2021
Start Time:11:00 AM EDT
Duration:60 minutes
Abstract:
Abstract: AI is being performed at the Edge of the IoT. Very soon, it’ll be commonplace in handheld and wearable electronic devices, and in all the appliances and infrastructure Edge devices, presumably working in the background to make our lives better, easier, and more secure. But systems at the Edge are often limited in terms of power and compute resources. So, how can we deploy these power-hungry algorithms at the Edge? Taking advantage of accelerators like GPUs, Tensor Processing Units (TPUs), FPGAs, and even customized ASICs can make AI at the Edge a practical reality. In this Keynote Address, delivered by Russell Klein, High-Level Synthesis Platform Program Director at Siemens, you’ll get an understanding of how these acceleration techniques can be implemented, and how they compare against each other and against software running on an embedded CPU. Learn just how far we can take AI into deeply embedded systems. Sponsored by:
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Speakers
 Russell Klein High-Level Synthesis Platform Program Director Siemens Russell Klein is a Program Director at Siemens EDA’s (formerly Mentor Graphics) High-Level Synthesis Division focused on processor platforms. He is currently working on algorithm acceleration through the offloading of complex algorithms running as software on embedded CPUs into hardware accelerators using High-Level Synthesis. He has been with Mentor for over 25 years, holding a variety of engineering, marketing and management positions, primarily focused on the boundary between hardware and software. He holds six patents in the area of hardware/software verification and optimization. Prior to joining Mentor he worked for Synopsys, Logic Modeling, and Fairchild Semiconductor.
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