Yeah, we've been able to compile entire neural networks like GoogleNet etc. through Calyx. See: https://calebmkim.github.io/files/pubs/src.pdf https://calebmkim

Yeah, we've been able to compile entire neural networks like GoogleNet etc. through Calyx. See: https://calebmkim.github.io/files/pubs/src.pdf https://calebmkim.github.io/files/pubs/src.pdf HLS-like languages are an input to Calyx. For example, we're currently building a Vivado alternative using Calyx and the frontend there does the pipelining for us. Calyx then goes in and performs a bunch of other optimizations. A big edge we have is that Calyx supports both statically-scheduled circuits (where the latencies of things are known) and dynamically-scheduled circuits (where latency is not known). Because of this, we have been able to do optimizations in this new flow that take advantage of both.