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Related papers: Automatic Datapath Optimization using E-Graphs

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Manual RTL design and optimization remains prevalent across the semiconductor industry because commercial logic and high-level synthesis tools are unable to match human designs. Our experience in industrial datapath design demonstrates that…

Hardware Architecture · Computer Science 2024-06-19 Samuel Coward , Theo Drane , George A. Constantinides

Numerical hardware design requires aggressive optimization, where designers exploit branch constraints, creating optimization opportunities that are valid only on a sub-domain of input space. We developed an RTL optimization tool that…

Hardware Architecture · Computer Science 2023-03-06 Samuel Coward , George A. Constantinides , Theo Drane

Multiplier circuits account for significant resource usage in datapath-dominated circuit designs, and RTL designers continue to build bespoke hand-crafted multiplication arrays for their particular application. The construction of an…

Hardware Architecture · Computer Science 2023-12-12 Andy Wanna , Samuel Coward , Theo Drane , George A. Constantinides , Miloš D. Ercegovac

Industrial datapath designers consider dynamic power consumption to be a key metric. Arithmetic circuits contribute a major component of total chip power consumption and are therefore a common target for power optimization. While arithmetic…

Hardware Architecture · Computer Science 2024-04-19 Samuel Coward , Theo Drane , Emiliano Morini , George Constantinides

Register Transfer Level (RTL) code optimization is crucial for enhancing the efficiency and performance of digital circuits during early synthesis stages. Currently, optimization relies heavily on manual efforts by skilled engineers, often…

Hardware Architecture · Computer Science 2024-09-19 Xufeng Yao , Yiwen Wang , Xing Li , Yingzhao Lian , Ran Chen , Lei Chen , Mingxuan Yuan , Hong Xu , Bei Yu

The rapid progress of artificial intelligence increasingly relies on efficient integrated circuit (IC) design. Recent studies have explored the use of large language models (LLMs) for generating Register Transfer Level (RTL) code, but…

Artificial Intelligence · Computer Science 2026-01-06 Yao Lu , Shang Liu , Hangan Zhou , Wenji Fang , Qijun Zhang , Zhiyao Xie

Register Transfer Level(RTL) code optimization is crucial for achieving high performance and low power consumption in digital circuit design. However, traditional optimization methods often rely on manual tuning and heuristics, which can be…

Software Engineering · Computer Science 2025-07-23 Zhihao Xu , Bixin Li , Lulu Wang

Optimizing Register Transfer Level (RTL) code is crucial for improving the power, performance, and area (PPA) of digital circuits in the early stages of synthesis. Manual rewriting, guided by synthesis feedback, can yield high-quality…

Hardware Architecture · Computer Science 2025-09-23 Yiting Wang , Wanghao Ye , Ping Guo , Yexiao He , Ziyao Wang , Bowei Tian , Shwai He , Guoheng Sun , Zheyu Shen , Sihan Chen , Ankur Srivastava , Qingfu Zhang , Gang Qu , Ang Li

Learning effective netlist representations is fundamentally constrained by the scarcity of labeled datasets, as real designs are protected by Intellectual Property (IP) and costly to annotate. Existing work therefore focuses on small-scale…

Machine Learning · Computer Science 2026-03-11 Siyang Cai , Cangyuan Li , Yinhe Han , Ying Wang

Modern hardware compilers increasingly rely on rich intermediate representations (IRs) to preserve optimization-relevant semantics before generating RTL code. However, one important optimization is still largely deferred to backend tools:…

Hardware Architecture · Computer Science 2026-05-05 Shuo Yin , Fangzhou Liu , Lancheng Zou , Rongliang Fu , Wenqian Zhao , Chen Bai , Tsung-Yi Ho , Yuan Xie , Bei Yu

As hardware design complexity escalates, there is an urgent need for advanced automation in electronic design automation (EDA). Traditional register transfer level (RTL) design methods are manual, time-consuming, and prone to errors. While…

Programming Languages · Computer Science 2025-05-21 Mohammad Akyash , Kimia Azar , Hadi Kamali

Recent advances in large language models (LLMs) have sparked growing interest in automatic RTL optimization for better performance, power, and area (PPA). However, existing methods are still far from realistic RTL optimization. Their…

Artificial Intelligence · Computer Science 2026-04-28 Wenji Fang , Yao Lu , Shang Liu , Jing Wang , Ziyan Guo , Junxian He , Fengbin Tu , Zhiyao Xie

Formal verification of datapath circuits is challenging as they are subject to intense optimization effort in the design phase. Industrial vendors and design companies deploy equivalence checking against a golden or existing reference…

Logic in Computer Science · Computer Science 2023-08-02 Samuel Coward , Emiliano Morini , Bryan Tan , Theo Drane , George Constantinides

Optimizing a stateful dataflow language is a challenging task. There are strict correctness constraints for preserving properties expected by downstream consumers, a large space of possible optimizations, and complex analyses that must…

Programming Languages · Computer Science 2023-06-21 Shadaj Laddad , Conor Power , Tyler Hou , Alvin Cheung , Joseph M. Hellerstein

Performance, power, and area (PPA) optimization is a fundamental task in RTL design, requiring a precise understanding of circuit functionality and the relationship between circuit structures and PPA metrics. Recent studies attempt to…

Tabular data optimization methods aim to automatically find an optimal feature transformation process that generates high-value features and improves the performance of downstream machine learning tasks. Current frameworks for automated…

Machine Learning · Computer Science 2024-06-12 Xiaohan Huang , Dongjie Wang , Zhiyuan Ning , Ziyue Qiao , Qingqing Long , Haowei Zhu , Min Wu , Yuanchun Zhou , Meng Xiao

In modern VLSI design flow, the register-transfer level (RTL) stage is a critical point, where designers define precise design behavior with hardware description languages (HDLs) like Verilog. Since the RTL design is in the format of HDL…

Hardware Architecture · Computer Science 2023-11-16 Wenji Fang , Yao Lu , Shang Liu , Qijun Zhang , Ceyu Xu , Lisa Wu Wills , Hongce Zhang , Zhiyao Xie

Graph rewriting is a popular tool for the optimisation and modification of graph expressions in domains such as compilers, machine learning and quantum computing. The underlying data structures are often port graphs - graphs with labels at…

Data Structures and Algorithms · Computer Science 2025-03-27 Luca Mondada , Pablo Andrés-Martínez

Many state-of-the-art Segment Routing (SR) Traffic Engineering (TE) algorithms rely on Linear Program (LP)-based optimization. However, the poor scalability of the latter and the resulting high computation times impose severe restrictions…

Networking and Internet Architecture · Computer Science 2024-08-27 Alexander Brundiers , Timmy Schüller , Nils Aschenbruck

Linear layouts are a graph visualization method that can be used to capture an entry pattern in an adjacency matrix of a given graph. By reordering the node indices of the original adjacency matrix, linear layouts provide knowledge of…

Machine Learning · Statistics 2026-02-16 Chihiro Watanabe , Taiji Suzuki
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