95 citations · 118 across the 20 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions
Qijun Zhang, Shiyu Li, Guanglei Zhou +4
Power efficiency is a critical design objective in modern microprocessor design. To evaluate the impact of architectural-level design decisions, an accurate yet efficient architect…
cs.LG2023★ 13 cited
RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
Yao Lu, Shang Liu, Qijun Zhang +1
Inspired by the recent success of large language models (LLMs) like ChatGPT, researchers start to explore the adoption of LLMs for agile hardware design, such as generating design…