This lecture will cover the basics of FPGA programming. Explaining when FPGAs can solve performance issues in scientific computing, and illustrating tools and strategies to minimize development effort.

Requirements

Basic programming knowledge and general computer architecture and high-performance computing concepts.

Short Speaker Bio

Marco was a CERN openlab summer student in 2018 working on HCAL/ECAL energy reconstruction. He then moved to London and worked as a research software engineer at Maxeler Technologies. Now, Marco is a computing PhD student at Imperial College London and focusing on accelerating Monte Carlo simulations. He is recently working at Intel as a hardware modelling and simulation engineer.