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Adam Taylor

Adam Taylor is an expert in design and development of embedded systems and FPGA's for several end applications. Throughout his career, Adam has used FPGA's to implement a wide variety of solutions from RADAR to safety critical control systems (SIL4) and satellite systems. He also had interesting stops in image processing and cryptography along the way. Adam has held executive positions, leading large developments for several major multinational companies. For many years Adam held significant roles in the space industry he was a Design Authority at Astrium Satellites Payload processing group for 6 years and for three years he was the Chief Engineer of a Space Imaging company, being responsible for several game changing projects.

Building Accelerated Applications with Vitis

Status: Available Now

Do you want to benefit from the acceleration of programmable logic using C or C++, for your quantitative finance /  signal or image processing or AI/ML applications.  The Vitis Unified Software Platform enables developers to more easily tap into the benefits of Xilinx heterogeneous SoCs and accelerate their applications, without needing advanced hardware development knowledge. This workshop will provide an in-depth tutorial on how to get started with Vitis and Vitis AI.

Topics covered in this workshop include:

  • Vitis features and elements
  • Vitis libraries
  • OpenCL
  • Vitis development flows
  • Optimizing software for programmable logic implementation
  • Vitis AI for machine learning inference acceleration
  • …and more!

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Live Q&A - Building Accelerated Applications with Vitis

Status: Available Now

Live Q&A with Adam Taylor for the workshop talk titled Building Accelerated Applications with Vitis

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PYNQ: Using FPGA to Accelerate Python applications (2020)

Status: Available Now

PYNQ is an open source Python framework from Xilinx which enables Python developers to access the performance provided by programmable logic, traditionally in the realm of electronic engineers. Being able to access programmable logic from Python brings with it acceleration factors of 10x, 100x and beyond to applications. This session will introduce the PYNQ framework, before demonstrating a number of image processing and machine learning applications developed using the PYNQ framework, showcasing not only the performance boost but also the ease of use.

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