Field Programmable Gate Arrays (FPGAs) are spatial architectures with a heterogeneous
reconfigurable fabric. They are state-of-the-art for prototyping, telecommunications …

Domain-specific hardware accelerators can provide orders of magnitude speedup and
energy efficiency over general purpose processors. However, they require extensive manual …

Machine learning (ML) models are widely used in many important domains. For efficiently
processing these computational-and memory-intensive applications, tensors of these …

We present Calyx, a new intermediate language (IL) for compiling high-level programs into
hardware designs. Calyx combines a hardware-like structural language with a software-like …

FPGAs have been proven to be powerful computational accelerators across many types of
workloads. The mainstream programming approach is high level synthesis (HLS), which …

Modern Hardware Description Languages (HDLs) such as SystemVerilog or VHDL are, due
to their sheer complexity, insufficient to transport designs through modern circuit design …

Despite many recent efforts, accelerating robotic computing is still fundamentally
challenging for two reasons. First, robotics software stack is extremely complicated …

Reconfigurable accelerators, like CGRAs and dataflow architectures, have come to
prominence for addressing data-processing problems. However, they are largely limited to …

Hardware synthesis requires a complicated process to generate synthesizable register
transfer level (RTL) code. High-level synthesis tools can automatically transform a high-level …

The foundation of every digital system is based on hardware in which security, as a core
service of many applications, should be deeply embedded. Unfortunately, the knowledge of …