Optimizations of Scatter Network for Sparse CNN Accelerators

机译：稀疏CNN加速器分散网络的优化

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摘要

Sparse CNN (SCNN) accelerators tend to suffer from the bus contention of its scatter network. This paper considers the optimizations of the scatter network. Several network topologies and arbitration algorithms are evaluated in terms of performance and area.

机译：稀疏的CNN（SCNN）加速器往往会遭受分散网络的总线争用。本文考虑了分散网络的优化。根据性能和面积评估了几种网络拓扑和仲裁算法。

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来源
《2019 IEEE International Conference on Artificial Intelligence Circuits and Systems》|2019年|256-257|共2页
会议地点 Hsinchu(TW)
作者
Sunwoo Kim; Chungman Lee; Haesung Park; Jooho Wang; Sungkyung Park; Chester Sungchung Park;
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作者单位

Department of Electrical Engineering, Konkuk University;

Department of Electrical Engineering, Konkuk University;

Department of Electrical Engineering, Konkuk University;

Department of Electrical Engineering, Konkuk University;

Department of Electronics Engineering, Pusan National University;

Department of Electrical Engineering, Konkuk University;

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原文格式 PDF
正文语种 eng
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关键词
Network topology; Optimization; Topology; Performance gain; Electron accelerators; Performance evaluation; Neural networks;

机译：网络拓扑;优化;拓扑;性能增益;电子加速器;性能评估;神经网络;;

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1. WinoNN: Optimizing FPGA-Based Convolutional Neural Network Accelerators Using Sparse Winograd Algorithm [J] . Wang Xuan, Wang Chao, Cao Jing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems . 2020,第11期

机译：WINONN：使用稀疏Winograd算法优化基于FPGA的卷积神经网络加速器
2. DNNVM: End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-Based CNN Accelerators [J] . Xing Yu, Liang Shuang, Sui Lingzhi, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems . 2020,第10期

机译：DNNVM：端到端编译器利用基于FPGA的CNN加速器上的异构优化
3. Efficient Scheduling of Irregular Network Structures on CNN Accelerators [J] . Zheng Shixuan, Zhang Xianjue, Ou Daoli, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems . 2020,第11期

机译：高效调度CNN加速器上的不规则网络结构
4. Optimizations of Scatter Network for Sparse CNN Accelerators [C] . Sunwoo Kim, Chungman Lee, Haesung Park, IEEE International Conference on Artificial Intelligence Circuits and Systems . 2019

机译：稀疏CNN加速器的散射网络优化
5. Artificial Neural Network Optimizations for FPGA-Based Accelerators: Exploration of Low Numeric Precision, Sparsity, and Evolutionary Algorithms [D] . Colangelo, Philip . 2020

机译：基于FPGA的促进者的人工神经网络优化：低数字精度，稀疏性和进化算法的探索
6. Automatic Recognition of Holistic Functional Brain Networks Using Iteratively Optimized Convolutional Neural Networks (IO-CNN) with Weak Label Initialization [O] . Yu Zhao, Fangfei Ge, Tianming Liu -1

机译：使用带有弱标签初始化的迭代优化卷积神经网络（IO-CNN）自动识别整体功能性脑网络
7. Evaluation of Optimized CNNs on Heterogeneous Accelerators using a Novel Benchmarking Approach [O] . Michaela Blott, Nicholas Fraser, Giulio Gambardella, 2020

机译：利用新型基准方法评价异构加速器上的优化CNNS

Optimizations of Scatter Network for Sparse CNN Accelerators

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