Maximize Your AI Compatibility with Flexible Pre- and Post-Processing


Date:  Wednesday, May 22

Start Time: 4:50 pm

End Time: 5:20 pm

At a time when IC fabrication costs are skyrocketing and applications have increased in complexity, it is important to minimize design risks and maximize flexibility. In this session, learn how embedding FPGA technology can solve these problems—expanding your market access by enabling more external interfaces, accelerating your compute envelope and increasing data security. Embedded FPGA IP is highly efficient for pre- and post-processing data and can implement a variety of signal processing tasks such as image signal processing (defective pixel and color correction, for example), packet processing from network interfaces and signal processing from data converters (filtering). Additionally, this IP can manage data movement in and out of your AI engine as well as provide an adaptable protocol layer to connect to a variety of external interfaces, like USB and MIPI cameras. Flex Logix eFPGA IP is easy to integrate, high performing, lightweight and supported across more process nodes than any other supplier’s.

Track

Session Speakers

  • Jayson Bethurem is responsible for marketing and business development at Flex Logix. Jayson spent six years at Xilinx as Senior Product Line Manager, where he was responsible for about a third of revenues. Before that he spent eight years at Avnet as FAE, showing customers how to use FPGAs to improve their products. Earlier, he worked at start-ups using FPGAs to design products. He has a BSEE from the University of Colorado, focusing on architecture, DSP and logic design, and is a distinguished graduate of Harvard’s Business Analytics Program.


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Maximize Your AI Compatibility with Flexible Pre- and Post-Processing