Composable, Parameterizable Templates for High-Level Synthesis
Janarbek Matai, Dajung Lee, Alric Althoff, Ryan Kastner · 2016
High-level synthesis tools aim to make FPGA programming easier by raising the level of programming abstraction. Yet in order to get an efficient hardware design from HLS tools, the designer must know how to write HLS code that results in an efficient low level hardware architecture. Unfortunately, this requires substantial hardware knowledge, which limits wide adoption of HLS tools outside of hardware designers. In this work, we develop an approach based upon parameterizable templates that can be composed using common data access patterns. This creates a methodology for efficient hardware implementations. Our results demonstrate that a small number of optimized templates can be hierarchically composed to develop highly optimized hardware implementations for large applications.