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PYNQ: Using FPGA to Accelerate Python applications

Adam Taylor - Watch Now - Currently watching: 0

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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Score: 1 | 2 weeks ago | 1 reply

As a system architect, I factor in performance and reliability requirements in my initial planning. I plan for thread safety, system failure modes, performance up front. Where and how does this process (using Pynq) let you plan and predict to meet these kinds of requirements up front?

Score: 1 | 2 weeks ago | no reply

It does not really, PYNQ is good for prototyping and risk reduction it may not be suitable for use in high reliability systems

Score: 1 | 2 weeks ago | 1 reply

You have talked mainly about PYNQ. But I was wondering if there is an equivalent of Altera, and how they compare.

Score: 0 | 2 weeks ago | no reply

I am not aware of an Altera / Intel Equivalent I am afraid