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检索条件"任意字段=IEEE International Symposium on Computer Architecture and High Performance Computing"
16707 条 记 录,以下是181-190 订阅
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FPGA-based Real-time high-resolution Image Processing for rocket on-board processing
FPGA-based Real-time High-resolution Image Processing for ro...
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international Conference on computer Research and Development (ICCRD)
作者: Hui Zhou Xiaofeng Wang YuJia Xie Yongxiang Cao Yu Tang Yongchun Huo Huan Wen Xiongbo Zhao Chaoran Li Beijing Aerospace Automatic Control Institute National key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing China Computer Science and Engineering Beihang University Beijing China National Superior College for Engineers Beihang University Beijing China
The structure of the rocket-borne model is inherently complex, with processed images exhibiting high resolution and generating substantial amounts of data and calculations. Achieving robust real-time computing on an e... 详细信息
来源: 评论
Warped-Compaction: Maximizing GPU Register File Bandwidth Utilization via Operand Compaction
Warped-Compaction: Maximizing GPU Register File Bandwidth Ut...
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ieee symposium on high-performance computer architecture
作者: Eunbi Jeong Ipoom Jeong Myung Kuk Yoon Nam Sung Kim Department of Computer Science and Engineering Ewha Womans University Seoul Korea Department of System Semiconductor Engineering Yonsei University Seoul Korea Department of Electrical and Electronic Engineering Yonsei University Seoul Korea University of Illinois Urbana-Champaign Urbana U.S.A
The GPU has been successfully used for diverse emerging compute-intensive applications, including imaging, computer vision, and more recently, deep learning, to name a few. To offer high performance for such applicati... 详细信息
来源: 评论
EVO-QNN: Efficient Mixed-Precision Quantization Inference on RISC-V-Based Edge Device
EVO-QNN: Efficient Mixed-Precision Quantization Inference on...
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Annual ieee symposium on Field-Programmable Custom computing Machines (FCCM)
作者: Tianshuo Lu Jianyang Ding Huachen Zhang Bowen Jiang Wei Xu Zhilei Chai School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China
Mixed-Precision Quantized Neural Network (MPQNN) helps balance inference precision and efficiency under resource constraints, while most of them lack high-energy-efficiency hardware acceleration solutions. To address ... 详细信息
来源: 评论
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
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ieee symposium on high-performance computer architecture
作者: Yuzong Chen Ahmed F. AbouElhamayed Xilai Dai Yang Wang Marta Andronic George A. Constantinides Mohamed S. Abdelfattah Computer Systems Lab Cornell University Systems and Networking Research Group Microsoft Research Department of Electrical and Electronic Engineering Imperial College London
Large language models (LLMs) have demonstrated remarkable performance across various machine learning tasks. Yet the substantial memory footprint of LLMs significantly hinders their deployment. In this paper, we impro... 详细信息
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SPARK: Sparsity Aware, Low Area, Energy-Efficient, Near-memory architecture for Accelerating Linear Programming Problems
SPARK: Sparsity Aware, Low Area, Energy-Efficient, Near-memo...
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ieee symposium on high-performance computer architecture
作者: Siddhartha Raman Sundara Raman Lizy John Jaydeep P. Kulkarni The University of Texas at Austin
Integer Linear Programming (ILP) is an important mathematical approach for solving time-sensitive real-life optimization problems, including network routing, map routing, traffic scheduling, etc. However, the algorith... 详细信息
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LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Lear...
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ieee symposium on high-performance computer architecture
作者: Guoyu Li Shengyu Ye Chunyun Chen Yang Wang Fan Yang Ting Cao Cheng Liu Mohamed M. Sabry Aly Mao Yang Microsoft Research University of Chinese Academy of Sciences NTU Singapore
The emergence of neural network capabilities invariably leads to a significant surge in computational demands due to expanding model sizes and increased computational complexity. To reduce model size and lower inferen... 详细信息
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SoMa: Identifying, Exploring, and Understanding the DRAM Communication Scheduling Space for DNN Accelerators
SoMa: Identifying, Exploring, and Understanding the DRAM Com...
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ieee symposium on high-performance computer architecture
作者: Jingwei Cai Xuan Wang Mingyu Gao Sen Peng Zijian Zhu Yuchen Wei Zuotong Wu Kaisheng Ma Tsinghua University Xi’an Jiaotong University Shanghai AI Laboratory Shanghai Qi Zhi Institute IIISCT
Modern Deep Neural Network (DNN) accelerators are equipped with increasingly larger on-chip buffers to provide more opportunities to alleviate the increasingly severe DRAM bandwidth pressure. However, most existing re... 详细信息
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Efficient Digital architecture of Spiking Encoders for Neuromorphic Accelerators
Efficient Digital Architecture of Spiking Encoders for Neuro...
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ieee international symposium on Quality Electronic Design
作者: Ruizhe Li Muhammad Farhan Azmine Gauri Sharma Yang Yi Virginia Tech Blacksburg VA
In Spiking Neural Networks (SNNs), information is transmitted through discrete spikes, making the conversion from real-world signals to spike representations crucial for both encoding efficiency and network performanc... 详细信息
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Delinquent Loop Pre-execution Using Predicated Helper Threads
Delinquent Loop Pre-execution Using Predicated Helper Thread...
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ieee symposium on high-performance computer architecture
作者: Anirudh Seshadri Eric Rotenberg Department of Electrical and Computer Engineering North Carolina State University
Branch pre-execution targets delinquent branches that are not predictable by conventional branch predictors. Helper threads attempt to resolve branches ahead of the main thread. Pre-executed branch outcomes are commun... 详细信息
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Driving the Future of Connected Autonomous Mobility with Advanced AI and Multi-Modal Data Fusion: Plenary Talk
Driving the Future of Connected Autonomous Mobility with Adv...
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international symposium on Applied Machine Intelligence and Informatics (SAMI)
作者: Juraj Gazda Technical University of Košice Košice Slovakia
In this talk, we will explore the intersection of connected autonomous vehicles (CAVs), edge computing, multi-agent cooperation, computer vision, and large language models (LLMs) to tackle emerging challenges in intel... 详细信息
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