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检索条件"任意字段=IEEE/ACM International Conference on Computer Aide Digest"
890 条 记 录,以下是21-30 订阅
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Sustainable High-Performance Instruction Selection for Superscalar Processors  24
Sustainable High-Performance Instruction Selection for Super...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Sheikhpour, Saeideh Metz, David Jellum, Erling Själander, Magnus Eeckhout, Lieven Ghent University Belgium Norway
Sustainability is a grand societal challenge, which requires our urgent attention given the significant and growing contribution of electronic devices to global warming. The environmental footprint of an electronic de... 详细信息
来源: 评论
MEIC: Re-thinking RTL Debug Automation using LLMs  24
MEIC: Re-thinking RTL Debug Automation using LLMs
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Xu, Ke Sun, Jialin Hu, Yuchen Fang, Xinwei Shan, Weiwei Wang, Xi Jiang, Zhe National Center of Technology Innovation for EDA School of Integrated Circuits Southeast University China Department of Computer Science University of York United Kingdom
The deployment of Large Language Models (LLMs) for code debugging (e.g., C and Python) is widespread, benefiting from their ability to understand and interpret intricate concepts. However, in the semiconductor industr... 详细信息
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A Built-In Integrated Rowhammer, Rowpress, and Leakage Detection Sensor for DRAM  24
A Built-In Integrated Rowhammer, Rowpress, and Leakage Detec...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Rohbani, Nezam Pirayadi, Rouzbeh Soleimani, Mohammad Arman Kestelman, Adrian Cristal Unsal, Osman Sarbazi-Azad, Hamid Spain Department of Computer Engineering Sharif University of Technology Iran Barcelona Supercomputing Center Spain Department of Computer Engineering Sharif University of Technology Iran
The increasing density of DRAM chips has led to heightened susceptibility of memory cells to bit-flips. Rowhammer and Rowpress attacks on DRAMs have obtained significant attention due to their effectiveness in comprom... 详细信息
来源: 评论
Accurate, Yet Scalable: A SPICE-based Design and Optimization Framework for eNVM-based Analog In-memory Computing  24
Accurate, Yet Scalable: A SPICE-based Design and Optimizatio...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Mojahidul Ahsan, S.M. Shahriar, Muhammad Sakib Chowdhury, Mrittika Hossain, Tanvir Hasan, Md Sakib Hoque, Tamzidul Department of Electrical Engineering and Computer Science University of Kansas LawrenceKS United States Department of Electrical and Computer Engineering University of Mississippi OxfordMS United States
This paper introduces a scalable SPICE-based tool infrastructure designed to optimize analog compute-in-memory (ACIM) architectures utilizing emerging non-volatile resistive memory (eNVM) technologies. The inherent ef... 详细信息
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Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications  24
Co-Designing NVM-based Systems for Machine Learning and In-m...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Henkel, Jörg Siddhu, Lokesh Nassar, Hassan Bauer, Lars Chen, Jian-Jia Hakert, Christian Seidl, Tristan Chen, Kuan Hsun Hu, Xiaobo Sharon Li, Mengyuan Yang, Chia-Lin Wei, Ming-Liang Karlsruhe Institute of Technology Germany TU Dortmund Germany University of Twente Netherlands University of Notre Dame IN United States National Taiwan University Taiwan
With the rapid development of the Internet of Things, machine learning applications on edge devices with limited resources face challenges due to large data scales and irregular memory access patterns. Non-volatile me... 详细信息
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ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters  24
ConSmax: Hardware-Friendly Alternative Softmax with Learnabl...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Liu, Shiwei Tao, Guanchen Zou, Yifei Chow, Derek Fan, Zichen Lei, Kauna Pan, Bangfei Sylvester, Dennis Kielian, Gregory Saligane, Mehdi Google Research United States Department of Electrical Engineering and Computer Sciences University of Michigan United States
The self-attention mechanism distinguishes transformer-based large language models (LLMs) apart from convolutional and recurrent neural networks. Despite the performance improvement, achieving real-time LLM inference ... 详细信息
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The Power of Graph Signal Processing for Chip Placement Acceleration  24
The Power of Graph Signal Processing for Chip Placement Acce...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Liu, Yiting Zhou, Hai Wang, Jia Yang, Fan Zeng, Xuan Shang, Li School of Computer Science Fudan University Shanghai China Department of ECE Northwestern University Evanston United States Department of ECE IIIinois Institute of Technology Chicago United States State Key Lab of ASIC & System Microelectronics Department Fudan University Shanghai China
Placement is a critical task with high computation complexity in VLSI physical design. Modern analytical placers formulate the placement objective as a nonlinear optimization task, which suffers a long iteration time.... 详细信息
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FlexHE: a Flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference  24
FlexHE: a Flexible Kernel Generation Framework for Homomorph...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Yu, Jiangrui Zeng, Wenxuan Xu, Tianshi Chen, Renze Liang, Yun Wang, Runsheng Huang, Ru Li, Meng Institute for Artificial Intelligence Peking University Beijing China School of Integrated Circuits Peking University Beijing China Institute of Electronic Design Automation Peking University Wuxi China Beijing Advanced Innovation Center for Integrated Circuits Beijing China School of Software and Microelectronics Peking University Beijing China School of Computer Science Peking University Beijing China
Secure two-party computation (2PC) based on homomorphic encryption (HE) achieves formal data privacy protection and gets increasing adoption for private deep neural network (DNN) inference. As modern HE schemes usuall... 详细信息
来源: 评论
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models  24
ADO-LLM: Analog Design Bayesian Optimization with In-Context...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Yin, Yuxuan Wang, Yu Xu, Boxun Li, Peng Department of Electronic and Computer Engineering University of California Santa BarbaraCA United States
Analog circuit design requires substantial human expertise and involvement, which is a significant roadblock to design productivity. Bayesian Optimization (BO), a popular machine-learning-based optimization strategy, ... 详细信息
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MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers  24
MCUBERT: Memory-Efficient BERT Inference on Commodity Microc...
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43rd international conference on computer-aided Design, ICCAD 2024
作者: Yang, Zebin Chen, Renze Wu, Taiqiang Wong, Ngai Liang, Yun Wang, Runsheng Huang, Ru Li, Meng Institute for Artificial Intelligence Peking University Beijing China School of Integrated Circuits Peking University Beijing China School of Computer Science Peking University Beijing China The University of Hong Kong Hong Kong Institute of Electronic Design Automation Peking University Wuxi China Beijing Advanced Innovation Center for Integrated Circuits Beijing China
In this paper, we propose MCUBERT to enable language models like BERT on tiny microcontroller units (MCUs) through network and scheduling co-optimization. We observe the embedding table contributes to the major storag... 详细信息
来源: 评论