4 papers
From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs
Lukas Krupp, Matthew Venn, Norbert Wehn
This paper presents an LLM-based learning platform for chip design education, aiming to make chip design accessible to beginners without overwhelming them with technical complexity…
Low-power, Energy-efficient, Cardiologist-level Atrial Fibrillation Detection for Wearable Devices
Dominik Loroch, Johannes Feldmann, Vladimir Rybalkin +1
Atrial fibrillation (AF) is a common arrhythmia and major risk factor for cardiovascular complications. While commercially available devices and supporting Artificial Intelligence…
CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems
Lukas Krupp, Maximilian Schöffel, Elias Biehl +1
This paper presents CRADLE, a conversational framework for design space exploration of RTL designs using LLM-based multi-agent systems. Unlike existing rigid approaches, CRADLE ena…
HW/SW Implementation of MiRitH on Embedded Platforms
Maximilian Schöffel, Hiandra Tomasi, Norbert Wehn
Multi-Party Computation in the Head (MPCitH) algorithms are appealing candidates in the additional US NIST standardization rounds for Post-Quantum Cryptography (PQC) with respect t…