Higher-Order Functions are a common and convenient way to encapsulate design patterns in software development. However, they are not readily available in hardware design tools. This is because they rely on memory allocators to implement dynamic lists, polymorphism, and looping. These concepts are not very amenable to hardware synthesis.

Dustin presented a solution to this problem in the paper “Higher-Order Functions for C++ Synthesis” at CODES+ISSS as part of Embedded Systems Week. The project develops a library of higher-order functions for C++ High-Level Synthesis tools. We open-sourced these libraries and we hope that you use them. Check that out on github: github.com/drichmond/hops (hops stands for Higher-Order PatternS and also an ode to one of our favorite beverages.). ESWeek was in Torino, Italy so Dustin also found some free time to visit Mont Blanc (pictured).

Once again we had a good showing at 28th International Conference on Field Programmable Logic and Applications (FPL 2018). FPL is the premier European venue for publishing research results in the field of FPGAs and reconfigurable systems. This year, the conference was held in Dublin Ireland. Michael Barrow made the trip to present our two papers.

The first paper was “Everyone’s a Critic: A Tool for Exploring RISC-V Projects”, which describes a tool that provides a way to compare and evaluate the different RISC V architectures with a streamlined suite of tutorials, drivers, and deployment packages on the Pynq development board. The tool is open source at on the github repo: https://github.com/drichmond/RISC-V-On-PYNQ . This project was lead by Dr. Dustin Richmond with contributions by Michael Barrow.

The second paper was “A FPGA Accelerator for Real-Time 3D Non-Rigid Registration Using Tree Reweighted Message Passing and Dynamic Markov Random Field Generation”. This project developed a novel reconfigurable system that performs real-time 3D registration — a fundamental computer vision problem with applications in augmented reality, 3D modeling, and computer vision. The architecture was developed with Stephen Burns from Intel (and the result of the time project lead Michael Barrow internship there). Our system is more energy efficient and higher performing than comparable software or hardware approaches with a minimal reduction in registration accuracy.