#fixed-point#python#co-simulation
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Intermediate. Assumes working knowledge.
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HardwareSystems programmingElectronicsEmbedded systemsTesting
Dr. Harry Commin explains the challenges of fixed-point development and demonstrates how to use a Python model for FPGA co-simulation.
WHEN: December 5, 2023 PST EST GMT CET TOPIC: Fixed-Point Python Co-simulation. WHO: Dr. Harry Commin | Lead FPGA/SoC Firmware Engineer | Enclustra JOIN THE TALK: Fixed-point arithmetic is the first choice for implementing numerical algorithms in digital hardware because it is highly efficient. However, this efficiency (in terms of power, silicon area, latency, and timing) comes at the expense of a higher skill requirement for the developer. Despite the widespread use of fixed-point arithmetic, the skills needed and the challenges faced are often underestimated. In this webinar, we present real-world examples highlighting the challenges of fixed-point development and how to overcome those challenges, from algorithm design and performance analysis to HDL implementation and verification. We also show how a fixed-point software model (written in a convenient high-level language such as Python) can form the basis of a powerful and robust fixed-point development flow. All attendees are provided complete code examples (based on Enclustra’s free, open-source fixed-point math library “en_cl_fix“).What people say. Recommended for learning how to build bit-accurate Python models to verify FPGA designs.
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