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检索条件"机构=Computer Architecture and Languages Laboratory Institute of Computer Science"
738 条 记 录,以下是131-140 订阅
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Fusion Coherence: Scalable Cache Coherence for Heterogeneous Kilo-Core System
Fusion Coherence: Scalable Cache Coherence for Heterogeneous...
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10th Annual Conference of Advanced computer architecture, ACA 2014
作者: Pei, Songwen Kim, Myoung-Seo Gaudiot, Jean-Luc Xiong, Naixue Department of Computer Science and Engineering University of Shanghai for Science and Technology Shanghai 200093 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Department of Electrical Engineering and Computer Science University of California Irvine CA 92697 United States School of Computer Science Colorado Technical University Springs CO 80907 United States
Future heterogeneous systems will integrate CPUs and GPUs on a single chip to achieve high computing performance as well as high throughput. In general, it would discard the current discrete pattern and will build a u... 详细信息
来源: 评论
Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning  60
Flooding-X: Improving BERT's Resistance to Adversarial Attac...
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60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
作者: Liu, Qin Zheng, Rui Bao, Rong Liu, Jingyi Liu, ZhiHua Cheng, Zhanzhan Qiao, Liang Gui, Tao Zhang, Qi Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Shanghai Key Laboratory of Intelligent Information Processing China Hikvision Research Institute Hangzhou China
Adversarial robustness has attracted much attention recently, and the mainstream solution is adversarial training. However, the tradition of generating adversarial perturbations for each input embedding (in the settin... 详细信息
来源: 评论
Xdn: towards efficient inference of residual neural networks on cambricon chips  2nd
Xdn: towards efficient inference of residual neural networks...
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2nd International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019
作者: Li, Guangli Wang, Xueying Ma, Xiu Liu, Lei Feng, Xiaobing State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China College of Computer Science and Technology Jilin University Changchun China MOE Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Changchun China
In this paper, we present XDN, an optimization and inference engine for accelerating residual neural networks on Cambricon chips. We leverage a channel pruning method to compress the weights of ResNet-50. By exploring... 详细信息
来源: 评论
An ultra-fast hybrid simulation framework for ASIP
An ultra-fast hybrid simulation framework for ASIP
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2011 18th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2011
作者: Qiu, Ji Gao, Xiang Jiang, Yifei Xiao, Xu Key Laboratory of Computer System and Architecture Institute of Computing Technology Graduate University of Chinese Academy of Science Beijing 100190 China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL United States
ISS (Instruction Set Simulator) plays an important role in pre-silicon software development for ASIP. However, the speed of traditional simulation is too slow to effectively support full-scale software development. In... 详细信息
来源: 评论
Concurrency bug localization using shared memory access pairs  14
Concurrency bug localization using shared memory access pair...
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2014 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2014
作者: Wang, Wenwen Wu, Chenggang Yew, Pen-Chung Yuan, Xiang Wang, Zhenjiang Li, Jianjun Feng, Xiaobing State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering University of Minnesota at Twin-Cities United States
Non-determinism in concurrent programs makes their debugging much more challenging than that in sequential programs. To mitigate such difficulties, we propose a new technique to automatically locate buggy shared memor... 详细信息
来源: 评论
Concurrency bug localization using shared memory access pairs
Concurrency bug localization using shared memory access pair...
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作者: Wang, Wenwen Wu, Chenggang Yew, Pen-Chung Yuan, Xiang Wang, Zhenjiang Li, Jianjun Feng, Xiaobing State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering University of Minnesota at Twin-Cities United States
Non-determinism in concurrent programs makes their debugging much more challenging than that in sequential programs. To mitigate such difficulties, we propose a new technique to automatically locate buggy shared memor... 详细信息
来源: 评论
Optimizing web browser on many-core architectures
Optimizing web browser on many-core architectures
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2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2011
作者: Fan, Lingjun Shi, Weisong Tang, Shibin Yan, Chenggang Fan, Dongrui Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Academy of Sciences Graduate University Beijing China Department of Computer Science Wayne State University Detroit United States
As more and more Web applications emerging on sever end today, the Web browser on client end has become a host of a variety of applications other than just rendering static Web pages. This leads to more and more perfo... 详细信息
来源: 评论
Safety and Ethical Concerns of Large Language Models  22
Safety and Ethical Concerns of Large Language Models
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22nd Chinese National Conference on Computational Linguistics, CCL 2023
作者: Xi, Zhiheng Zheng, Rui Gui, Tao School of Computer Science Fudan University Shanghai China Shanghai Key Laboratory of Intelligent Information Processing Shanghai China Institute of Modern Languages and Linguistics Fudan University Shanghai China
Recent months have witnessed significant progress in the field of large language models (LLMs). Represented by ChatGPT and GPT-4, LLMs perform well in various natural language processing tasks and have been applied to... 详细信息
来源: 评论
Mcc: a predictable and scalable massive client load generator  2nd
Mcc: a predictable and scalable massive client load generato...
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2nd International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019
作者: Wu, Wenqing Feng, Xiao Zhang, Wenli Chen, Mingyu State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Science Beijing China University of Chinese Academy of Sciences Beijing China Peng Cheng Laboratory Shenzhen China
The network load generators are widely used by network researchers to analyze link bandwidth, evaluate network performance and test device capabilities. Data center and IoT networks are quickly evolving and we desire ... 详细信息
来源: 评论
High Performance Computing for CS-InSAR Data Processing
High Performance Computing for CS-InSAR Data Processing
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2021 SAR in Big Data Era, BIGSARDATA 2021
作者: Zhang, Weikang You, Haihang Tang, Yixian Wang, Chao Zhang, Hong Chinese Academy of Sciences State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing China Chinese Academy of Sciences Key Laboratory of Digital Earth Science Aerospace Information Research Institute Beijing China
In this paper, we have developed a highperformance data processing system for big SAR data based on parallel and distributed computation using supercomputer. Aiming at the pipeline of InSAR, we mainly focus on the par... 详细信息
来源: 评论