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32nd ACM Symposium on Parallelism in Algorithms and architectures, SPAA 2020

作者： Zhang, Xiaoyang Xiao, Junmin Tan, Guangming State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Science Beijing China

ISBN: (纸本)9781450369350

Convolution is the most time-consuming part in the computation of convolutional neural networks (CNNs). Due to the complex data dependency and the increase in the amount of model samples, the convolution suffers from high overhead on data movement. This work provides comprehensive analysis and methodologies to minimize the communication for the convolutions in CNNs. With an in-depth analysis on the I/O complexity theory under the red-blue pebble game model, we develop a general communication lower bound theory for a composite algorithm which consists of several different sub-computations. Based on the proposed theory, we establish the data movement lower bound results for three main convolution algorithms in CNNs, which are the direct convolution, the image2col method and Winograd algorithm. Furthermore, derived from I/O lower bound results, we design the near communication-optimal strategies respectively for the three main convolution algorithms by fully exploiting the data reuse. The deep analysis demonstrates that our designs are able to nearly reach the minimum communication in a two-level memory hierarchy. © 2020 Owner/Author.

关键词： Convolution

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Polymorphic PUF: Exploiting reconfigurability of CPU+FPGA SoC to resist modeling attack 23

Polymorphic PUF: Exploiting reconfigurability of CPU+FPGA So...

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23rd IEEE International Symposium on On-Line Testing and Robust system Design, IOLTS 2017

作者： Ye, Jing Gong, Yue Hu, Yu Li, Xiaowei State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538603512

Physical Unclonable Function {PUF) is severely threatened by modeling attacks. This paper proposes a novel Polymorphic PUF for CPU+FPGA SoC. We fully exploit the dynamic reconfigurability of the SoC to minimize the Challenge Response Pair (CRP) correlation so as to resist modeling attacks. An asymmetric RO pair is proposed to produce the response. Experiments on real CPU+FPGA SoCs show the high resistance of Polymorphic PUF against modeling attacks, with good uniformity and uniqueness. © 2017 IEEE.

关键词： system-on-chip

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Exploring discriminative views for 3D object retrieval 22nd

Exploring discriminative views for 3D object retrieval

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22nd International Conference on MultiMedia Modeling, MMM 2016

作者： Wang, Dong Wang, Bin Zhao, Sicheng Yao, Hongxun Liu, Hong State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9783319276700

View-based 3D object retrieval techniques have become prevalent in various fields, and lots of ingenious studies have promoted the development of retrieval performance from different aspects. In this paper, we focus on the 2D projective views that represent the 3D objects and propose a boosting approach by evaluating the discriminative ability of each object’s views. Different from previous works on selecting representative views of query object, we investigate the discriminative information of each view in dataset. By employing the proposed reverse distance metric, we utilize the discriminative information for many to many view set matching. The proposed algorithm is then employed with various features to boost the multi-model graph learning method. We compare our approach with several state of the art methods on ETH-80 dataset and National Taiwan University 3D model dataset. The results demonstrate the effectiveness of our method and its excellent boosting performance. © Springer International Publishing Switzerland 2016.

关键词： Artificial intelligence

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Weak parametric failure equivalences and their congruence formats

Weak parametric failure equivalences and their congruence fo...

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Theory of Computing 2008 - 14th Computing: The Australasian Theory Symposium, CATS 2008

作者： Huang, Xiaowei Jiao, Li Lu, Weiming Academy of Mathematics and System Science Chinese Academy of Sciences China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China

ISBN: (纸本)9781920682583

Weak equivalences are important behavioral equivalences in the course of specifying and analyzing the reactive systems using process algebraic languages. In this paper, we propose a series of weak equivalences named weak parametric failure equivalences, which take two previously-known behavioral equivalences, i.e., the weak failure equivalence and the weak impossible future equivalence, as their special cases. More importantly, based on the idea of the structural operational semantics, a series of rule formats are further presented to congruence format for their corresponding weak parametric failure equivalences, i.e., a specific equivalence is further congruent in any languages satisfying its corresponding congruence format. This series of rule formats reflect the gradual changes in the weak parametric failure equivalences. We conclude that, when the weak parametric failure equivalences become coarser, their corresponding rule formats turn tighter. © 2008, Australian computer Society, Inc.

关键词： Semantics

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Intelligent Intra- and Inter-Channel Nonlinearity Compensation for Terabit-Per-Lambda 16QAM Long-Haul Transmission

Intelligent Intra- and Inter-Channel Nonlinearity Compensati...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Fang, Xiansong Zhou, Lingjun Zhu, Yixiao Zheng, Jiayu Cai, Xiang Zhang, Fan School of Electronic and Computer Engineering Peking University Shenzhen China Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication System and Networks Shanghai China School of Electronics Peking University State Key Laboratory of Advanced Optical Communication System and Networks Beijing China Pengcheng Laboratory Shenzhen China

We experimentally demonstrate the combination of learned modified DBP and adaptive equalizer to compensate for intra- and inter-channel nonlinearity, in an 8× 125Gbaud 16QAM system over 1600km SSMF, showing a 97.... 详细信息

ISBN: (纸本)9798350312614

关键词： fiber nonlinearity machine learning XPM

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A new adaptive voltage protection scheme for distribution network with distributed generations

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Canadian Journal of Electrical and computer Engineering 2013年第4期36卷 142-151页

作者： Ma, Jing Ma, Wei Wang, Xi Wang, Zengping State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute State University Blacksburg VA 24061 United States

A new adaptive voltage protection scheme suitable for distribution networks with potential distributed generation (DG) inserts is proposed in this paper. Firstly, the intelligent electronic devices (IEDs) are utilized to store relevant line parameters, obtain real-time voltage and current data, and facilitate communication among the IEDs. On this basis, the adaptive voltage primary and backup protection scheme are put forward according to the relationship between the before-and-after-fault phase voltage difference and the phase current. Simulation results show the automatically adaptive relaying by the proposed protection scheme under different system operation conditions and fault types, and verify the immunity of the proposed method to the introduction and output variation of DG. Furthermore, compared with traditional voltage protection, the proposed protection scheme extends the protection range to a considerable degree. © 2003-2010 IEEE.

关键词： Distributed power generation

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RSAK: Random stream attack for phase change memory in video applications

RSAK: Random stream attack for phase change memory in video ...

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2013 IEEE 31st VLSI Test Symposium, VTS 2013

作者： Fang, Yuntan Li, Huawei Li, Xiaowei State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467355438

As an emerging non-volatile memory technology, phase change memory (PCM) is promising as an alternative for traditional memories such as DRAM. In spite of its non-volatility, high density, low standby power, and resilience to soft errors, PCM has a limited write endurance or lifetime, which means that each PCM cell can only be overwritten finite times. More importantly, limited lifetime potentially provides malicious attackers an opportunity to intentionally aggravate write traffic into PCM. In this paper, from the standpoint of attackers, we propose random stream attacks (RSAK) methods for phase change memory used in video applications. Experimental results show that compared to natural video sequences, RSAK incurs higher total write traffic or worsened lifetime. RSAK also gives hints on how to build a more secure PCM in video applications to counter malicious write streams. © 2013 IEEE.

关键词： Phase change memory

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Micro-architectural characterization of desktop cloud workloads

Micro-architectural characterization of desktop cloud worklo...

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2012 IEEE International Symposium on Workload Characterization, IISWC 2012

作者： Jiang, Tao Hou, Rui Zhang, Lixin Zhang, Ke Chen, Licheng Chen, Mingyu Sun, Ninghui State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China Graduate University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781457720642

Desktop cloud replaces traditional desktop computers with completely virtualized systems from the cloud. It is becoming one of the fastest growing segments in the cloud computing market. However, as far as we know, there is little work done to understand the behavior of desktop cloud. On one hand, desktop cloud workloads are different from conventional data center workloads in that they are rich with interactive operations. Desktop cloud workloads are different from traditional non-virtualized desktop workloads in that they have an extra layer of software stack - hypervisor. On the other hand, desktop cloud servers are mostly built with conventional commodity processors. While such processors are well optimized for traditional desktops and high performance computing workloads, their effectiveness for desktop cloud workloads remains to be studied. As an attempt to shed some lights on the effectiveness of conventional general-purpose processors on desktop cloud workloads, we have studied the behavior of desktop cloud workloads and compared it with that of SPEC CPU2006, TPC-C, PARSEC, and CloudSuite. We evaluate a Xen-based virtualization platform. The performance results reveal that desktop cloud workloads have significantly different characteristics with SPEC CPU2006, TPC-C and PARSEC, but they perform similarly with data center scale-out benchmarks from CloudSuite. In particular, desktop cloud workloads have high instruction cache miss rate (12.7% on average), high percentage of kernel instructions (23%, on average), and low IPC (0.36 on average). And they have much higher TLB miss rates and lower utilization of off-chip memory bandwidth than traditional benchmarks. Our experimental numbers indicate that the effectiveness of existing commodity processors is quite low for desktop cloud workloads. In this paper, we provide some preliminary discussions on some potential architectural and micro-architectural enhancements. We hope that the performance numbers presented i

关键词： Personal computers

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Road type estimation and hierarchical real-time vanishing point detection

Road type estimation and hierarchical real-time vanishing po...

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2013 7th International Conference on Image and Graphics, ICIG 2013

作者： Sun, Yuan Lu, Hongbo Zhang, Zhimin .State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China .University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769550503

Image-based road vanishing point (VP) detection is a challenging problem as the algorithm needs to deal with different road type with varying imaging conditions in real time. We propose a hierarchical VP detection method with the ability to choose efficient algorithms for different road types. Firstly, road scenes are classified into 4 types based on holistic road features abstracted from responses of Gabor filters, which also coarsely locate the road. Then, the distinct edge or line-like texture of each road type is adaptively extracted by a new road-line-segment detection method. Finally, VP is estimated by road-type-specific voting and verification. Experiments on 1000 general road images show that, the proposed method can detect VP under complex road scenes, achieving improvements for both accuracy and efficiency, compared with the state of the art methods relying on single features. © 2013 IEEE.

关键词： Gabor filters

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Video Face Recognition system: RetinaFace-Mnet-Faster and Secondary Search

Video Face Recognition System: RetinaFace-Mnet-Faster and Se...

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Future of Information and Communication Conference, FICC 2021

作者： Li, Qian Guo, Nan Ye, Xiaochun Fan, Dongrui Tang, Zhimin State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783030731021

Face recognition is widely used in the scene. However, different visual environments require different methods, and face recognition has a difficulty in complex environments. Therefore, this paper mainly experiments complex faces in the video. First, we design an image pre-processing module for fuzzy scene or under-exposed faces to enhance images. Our experimental results demonstrate that effective images pre-processing improves the accuracy of 0.11%, 0.2% and 1.4% on LFW, WIDER FACE and our datasets, respectively. Second, we propose RetinacFace-mnet-faster for detection and a confidence threshold specification for face recognition, reducing the lost rate. Our experimental results show that our RetinaFace-mnet-faster for 640 × 480 resolution on the Tesla P40 and single-thread improve speed of 16.7% and 70.2%, respectively. Finally, we design secondary search mechanism with HNSW to improve performance. Ours is suitable for large-scale datasets, and experimental results show that our method is 82% faster than the violent retrieval for the single-frame detection. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Face recognition

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