Session

DescriptionAs in the previous 10 years, this workshop will bring together application experts, software developers, and hardware engineers, both from industry and academia, to share experiences and best practices to leverage the practical application of reconfigurable logic to scientific computing, AI/ML, and "big data" applications. In particular, the workshop will focus on sharing experiences and techniques for accelerating applications and/or improving energy efficiency with FPGAs using high-level design flows, which enable and improve cross-platform functional and performance portability while also improving productivity. Particular emphasis is given to cross-platform comparisons and combinations that foster a better understanding within the industry and research community on what are the best mappings of applications to a diverse range of hardware architectures that are available today (e.g., FPGA, GPU, many-cores and hybrid devices, ASICs), and on how to most effectively achieve cross-platform compatibility.