Product Details
autoAx: An Open-Source Automated Design Space Exploration Framework for Approximate Accelerators in FPGAs and ASICs
Created: 2023
Czech title
autoAx: Automatizovaný framework pro automatické prohledávání návrhového prostoru pro aproximativní akcelerátory v obvodech FPGA a ASIC s otevřeným zdrojovým kódem
Type
software
License
Use of the result by another entity is possible without acquiring a license (the result is not licensed)
License Fee
The licensor does not require a license fee for the result
Authors
Mrázek Vojtěch, Ing., Ph.D.
(DCSY)
Keywords
approximate computing, high level synthesis, machine learning
Description
The automated generation of approximate circuits and accelerators has been a useful design strategy to achieve energy efficiency and/or performance improvements. In this work, we propose a framework, autoAx, that leverages machine learning models that evaluate the state-of-the-art approximate components to explore the architecture space effectively. These accelerators are modeled at RTL and optimized using an evolutionary algorithm. The AutoAx framework is extensible, open-source, and can assist in exploring new directions in high-level approximation.
Location
License Conditions
Projects
Application-specific HW/SW architectures and their applications, BUT, Vnitřní projekty VUT, FIT-S-23-8141, 2023-2026, running
Research groups
Evolvable Hardware Research Group (RG EHW)
Departments