Score: 0

Hardware.jl - An MLIR-based Julia HLS Flow (Work in Progress)

Published: March 12, 2025 | arXiv ID: 2503.09463v1

By: Benedict Short, Ian McInerney, John Wickerson

Potential Business Impact:

Makes computer chips faster for science programs.

Business Areas:
Field-Programmable Gate Array (FPGA) Hardware

Co-developing scientific algorithms and hardware accelerators requires domain-specific knowledge and large engineering resources. This leads to a slow development pace and high project complexity, which creates a barrier to entry that is too high for the majority of developers to overcome. We are developing a reusable end-to-end compiler toolchain for the Julia language entirely built on permissively-licensed open-source projects. This unifies accelerator and algorithm development by automatically synthesising Julia source code into high-performance Verilog.

Page Count
3 pages

Category
Computer Science:
Software Engineering