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Related papers: Effective Analog ICs Floorplanning with Relational…

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In this work, we present a learning-based approach to chip placement, one of the most complex and time-consuming stages of the chip design process. Unlike prior methods, our approach has the ability to learn from past experience and improve…

Individualized manufacturing is becoming an important approach as a means to fulfill increasingly diverse and specific consumer requirements and expectations. While there are various solutions to the implementation of the manufacturing…

Robotics · Computer Science 2020-02-20 Caterina Neef , Dario Luipers , Jan Bollenbacher , Christian Gebel , Anja Richert

This paper presents the novel idea of multi-placement structures, for a fast and optimized placement instantiation in analog circuit synthesis. These structures need to be generated only once for a specific circuit topology. When used in…

Hardware Architecture · Computer Science 2011-11-09 Raoul F. Badaoui , Ranga Vemuri

We introduce a learning framework for automated floorplan generation which combines generative modeling using deep neural networks and user-in-the-loop designs to enable human users to provide sparse design constraints. Such constraints are…

Computer Vision and Pattern Recognition · Computer Science 2020-04-29 Ruizhen Hu , Zeyu Huang , Yuhan Tang , Oliver van Kaick , Hao Zhang , Hui Huang

Floor-planning is a fundamental step in VLSI chip design. Based upon the concept of orderly spanning trees, we present a simple O(n)-time algorithm to construct a floor-plan for any n-node plane triangulation. In comparison with previous…

Data Structures and Algorithms · Computer Science 2007-05-23 Chien-Chih Liao , Hsueh-I Lu , Hsu-Chun Yen

In this work, we present a reinforcement learning (RL) based approach to designing parallel prefix circuits such as adders or priority encoders that are fundamental to high-performance digital design. Unlike prior methods, our approach…

Machine Learning · Computer Science 2022-05-17 Rajarshi Roy , Jonathan Raiman , Neel Kant , Ilyas Elkin , Robert Kirby , Michael Siu , Stuart Oberman , Saad Godil , Bryan Catanzaro

The suboptimal physical design of the integrated circuits may not only increase the manufacturing costs due to the larger size of the chip but can also impact its performance by placing interconnected rectangular devices too far from each…

Other Computer Science · Computer Science 2024-10-23 Josef Grus , Zdeněk Hanzálek

The massive and large-scale design of foundational semiconductor integrated circuits (ICs) is crucial to sustaining the advancement of many emerging and future technologies, such as generative AI, 5G/6G, and quantum computing. Excitingly,…

Machine Learning · Computer Science 2025-03-04 Jian Gao , Weidong Cao , Junyi Yang , Xuan Zhang

Automatic transistor sizing is a challenging problem in circuit design due to the large design space, complex performance trade-offs, and fast technological advancements. Although there has been plenty of work on transistor sizing targeting…

Signal Processing · Electrical Eng. & Systems 2024-04-05 Hanrui Wang , Kuan Wang , Jiacheng Yang , Linxiao Shen , Nan Sun , Hae-Seung Lee , Song Han

The high simulation cost has been a bottleneck of practical analog/mixed-signal design automation. Many learning-based algorithms require thousands of simulated data points, which is impractical for expensive to simulate circuits. We…

Machine Learning · Computer Science 2023-11-30 Ahmet F. Budak , Keren Zhu , David Z. Pan

Design automation has the potential to substantially improve the efficiency of analog integrated circuit (IC) design. However, existing algorithms and tools typically focus on individual stages, such as device sizing, placement, or routing,…

Hardware Architecture · Computer Science 2026-04-24 Xian Rong Qin , Yong Zhang , Ying Hu , Tao Su , Bo-Wen Jia , Ning Xu

We propose a machine learning-driven optimisation framework for analog circuit design in this paper. The primary objective is to determine the device sizes for the optimal performance of analog circuits for a given set of specifications.…

Neural and Evolutionary Computing · Computer Science 2024-12-16 Ria Rashid , Komala Krishna , Clint Pazhayidam George , Nandakumar Nambath

The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of renewable generation, thereby requiring the future scheduling…

Artificial Intelligence · Computer Science 2023-03-14 Shaohuai Liu , Jinbo Liu , Weirui Ye , Nan Yang , Guanglun Zhang , Haiwang Zhong , Chongqing Kang , Qirong Jiang , Xuri Song , Fangchun Di , Yang Gao

Chiplet-based systems have gained significant attention in recent years due to their low cost and competitive performance. As the complexity and compactness of a chiplet-based system increase, careful consideration must be given to…

Machine Learning · Computer Science 2024-01-17 Yuanyuan Duan , Xingchen Liu , Zhiping Yu , Hanming Wu , Leilai Shao , Xiaolei Zhu

While various obfuscation methods exist in the digital domain, techniques for protecting Intellectual Property (IP) in the analog domain are mostly overlooked. Understandably, analog components have a small footprint as most of the surface…

Cryptography and Security · Computer Science 2022-09-07 Muayad J. Aljafar , Florence Azais , Marie-Lise Flottes , Samuel Pagliarini

Logic synthesis is one of the most important steps in design and implementation of digital chips with a big impact on final Quality of Results (QoR). For a most general input circuit modeled by a Directed Acyclic Graph (DAG), many logic…

Artificial Intelligence · Computer Science 2023-02-14 Ghasem Pasandi , Sreedhar Pratty , James Forsyth

Coverage path planning in a generic known environment is shown to be NP-hard. When the environment is unknown, it becomes more challenging as the robot is required to rely on its online map information built during coverage for planning its…

Robotics · Computer Science 2021-10-19 Javad Heydari , Olimpiya Saha , Viswanath Ganapathy

This paper presents a novel repeater insertion algorithm for interconnect power minimization. The novelty of our approach is in the judicious integration of an analytical solver and a dynamic programming based method. Specifically, the…

Other Computer Science · Computer Science 2011-11-09 Xun Liu , Yuantao Peng , Marios C. Papaefthymiou

Floor planning is an important and difficult task in architecture. When planning office buildings, rooms that belong to the same organisational unit should be placed close to each other. This leads to the following NP-hard mathematical…

Computational Geometry · Computer Science 2021-07-13 Jonathan Klawitter , Felix Klesen , Alexander Wolff

With the increase in the complexity of chip designs, VLSI physical design has become a time-consuming task, which is an iterative design process. Power planning is that part of the floorplanning in VLSI physical design where power grid…

Machine Learning · Computer Science 2020-07-27 Sukanta Dey , Sukumar Nandi , Gaurav Trivedi