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Research on Performance Optimization for Sparse Matrix-Vector Multiplication in Multi/Many-core Architecture

Research on Performance Optimization for Sparse Matrix-Vecto...

引用

Information Technology and Computer Application (ITCA), International Conference on

作者： Qihan Wang Mingliang Li Jianming Pang Di Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing zhengzhou China

Sparse matrix vector multiplication is an important and commonly used computing kernel in scientific computing. Irregular arrangement of non zeros in sparse matrix leads to irregular memory access pattern, which in turn affects the running speed. In the past ten years, there have been many optimization methods of sparse matrix vector multiplication based on different ideas and techniques. In this paper, the commonly used performance optimization techniques of sparse matrix vector multiplication in multi/many-core architecture are comprehensively investigated. We classify technical methods according to their common characteristics, and discuss the problems encountered by researchers of various methods. In addition, We provide a typical large sparse matrix set for testing. This paper also provides a theoretical basis for our subsequent sparse matrix calculation in Sunway TaihuLight archiecture.

关键词： Scientific computing Memory management Optimization methods Bandwidth Sparse matrices Kernel Information technology

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An Efficient Sieve Algorithm with Evolutionary Technique

An Efficient Sieve Algorithm with Evolutionary Technique

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International Conference on Communication Technology (ICCT)

作者： Zedong Sun Chunxiang Gu Yonghui Zheng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Sieve algorithm plays an important role in solving the shortest vector problem, which is one of the most representative hard lattice problems. In this paper, we propose an efficient sieve algorithm with evolutionary techniques. By combining Gauss Sieve algorithm with global selection, we propose an efficient sieve algorithm. Experimental results show that our algorithm performs better than FPLLL's Gauss Sieve algorithm in solving the shortest vector problem. Furthermore, we explore how mutation behaves in accelerating sieve algorithm.

关键词： Conferences Diversity reception Lattices Communications technology Cryptography Acceleration

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Recurrent Neural Network Based Binary Code Vulnerability Detection 19

Recurrent Neural Network Based Binary Code Vulnerability Det...

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Proceedings of the 2019 2nd International Conference on Algorithms, computing and Artificial Intelligence

作者： Jianyun Zheng Jianmin Pang Xiaochuan Zhang Xin Zhou MingLiang Li Jun Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781450372619

Vulnerability detection, especially vulnerability automatic detection, have long been an area of active research. Considering that RNN can model dependencies automatically, we propose a recurrent neural network (RNN) based method for binary code vulnerability detection. We collected correspond to 4 types of vulnerabilities, including CWE-134, CWE-191, CWE-401 and *** find which RNN is better in vulnerability detection, we evaluated 6 different RNNs, including SRNN, BSRNN, LSTM, BLSTM, GRU and BGRU. The results demonstrated that BSRNN is better than others in vulnerability detection.

关键词： Deep Learning Vulnerability detection Recurrent Neural Network

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The Analysis of HTTPS Privacy Protection Based on Malicious Code Injection

The Analysis of HTTPS Privacy Protection Based on Malicious ...

引用

International Conference on Communication Technology (ICCT)

作者： Zeyan Liu Jianshan Pen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhenzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

HTTPS protocol is utilized to protect personal privacy in network communication by man-in-the-middle attacks. However, after the browser is attacked, this protection mechanism will be destroyed. This paper analyzes the vulnerability of https protocol under two scenarios of operating system and network data transmission. Based on the untrusted situation, the possibility of implementing HTTPS protocol injection and page injection on the browser side was analyzed. A traffic monitoring and detection scheme based on dynamic rules is proposed, which can effectively detect whether the browser is injected with malicious code. False positive is less than 10%.

关键词： Protocols Servers Browsers Encryption Public key Malware Kernel

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Stability Analysis of a Rumor Propagation Model in Complex Networks with Holling II Type Functional Response

Stability Analysis of a Rumor Propagation Model in Complex N...

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International Conference on Big Data and Information Analytics (BigDIA)

作者： Ze Yu Gang Zhou Junyong Luo Mengli Zhang Ningbo Huang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665422321

ISBN: (纸本)9781665446662

In this paper, we propose a SH2I2 rumor propagation model considering self-learning mechanism and echo chamber situation with Holling type II functional response in homogeneous and heterogeneous networks. Firstly, we obtain the basic reproduction number through Jacobian Matrix method and calculate the equilibrium points. Secondly, we prove the existence of rumor-prevailing equilibrium point as well as the local and globally stabilities by Routh-Huiwitz judgment and Lyapunov function. Finally, we use theoretical analysis and numerical simulations to investigate the effect of parameters for suppressing the prevalence of rumors.

关键词： Jacobian matrices Numerical simulation Stability analysis Heterogeneous networks Numerical models Numerical stability Lyapunov methods

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The various graphs in graph computing 1

引用

22nd Annual Conference on Computer engineering and Technology, NCCET 2018

作者： Sun, Rujun Zhang, Lufei State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (数字)9789811359194

ISBN: (纸本)9789811359187

The world is full of relationships, and graph is the most evident representation for them. With the increasing of data scale, graphs become larger and have encountered a new world of analyzing. What can we learn from a graph? How many kinds of graphs are there? How different is graph from one area to that from another? All these questions need answers, but previous research on graph computing mainly focused on computing frameworks and systems, paying little attention to graph itself. In this paper, we studied graphs of different kinds, different scales and different mining methods, trying to give a sketcher and classification of graph categories. Besides, we studied characters and analyzed algorithms in each category. We researched public graph datasets to show current graph scale and its trend for future infrastructure. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Graphic methods

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Deep Learning based Recommedation System: A Review of Recent Works

Deep Learning based Recommedation System: A Review of Recent...

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IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Meiling Wang Xiaonan Liu Lina Jing State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

The research upsurge of recommendation system and deep learning makes the deep learning based recommendation system become an inevitable trend. Through the introduction of the latest research of deep learning based recommendation, we present the current popular research directions in the recommendation field and provide a comprehensive review of various advanced technologies. Finally, we propose a new viewpoint on the future development of deep learning based recommendation system.

关键词： Machine learning Motion pictures Collaboration Predictive models Filtering Manuals Feature extraction

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FIRMNANO: Toward IoT Firmware Fuzzing Through Augmented Virtual Execution

FIRMNANO: Toward IoT Firmware Fuzzing Through Augmented Virt...

引用

IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Zhijie Gui Hui Shu Ju Yang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728165790

ISBN: (纸本)9781728165806

Considering that the deployment of IoT devices is becoming more and more widespread, the security analysis of the firmware of these devices is extremely important. However, a large number of devices now have vulnerabilities that can be exploited, allowing attackers to remotely control IoT devices. In this article, we show FIRMNANO, a fuzzing framework for the firmware of IoT devices with microcontrollers as the core. Based on augmented virtual execution, FIRMNANO solves three key problems of microcontrollers firmware emulation: (1) MMIO region access (2) interrupt triggering (3) DMA support. On this basis, it conducts code coverage-based fuzzing testing for firmware. Our evaluation results show that FIRMNANO can execute firmware correctly and can be used for real-world firmware vulnerability mining.

关键词： Microcontrollers Emulation Fuzzing Security Microprogramming Testing Software engineering

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Anti-reconnaissance Model of Host Fingerprint Based on Virtual Node

Anti-reconnaissance Model of Host Fingerprint Based on Virtu...

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作者： Tao Zhang Bin Lu Ding Li Kang He Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University

Aiming at the problem of insufficient defense ability of fingerprint detection,the anti-reconnaissance model of host fingerprint based on virtual node is *** model constructs periodically reconfigurable virtual nodes,dynamically camouflages the fingerprint information of the host to deceive the detector,and redirect attack traffic targeting virtual nodes to honeypots that can capture and analyze attack ***,as an active defense technology,can effectively improve the model's defense *** paper introduces probabilistic models for the defense model to provide a deeper understanding of the theoretical effect their parameters have for cybersecurity,which quantifies the impact of different parameters on the probability of attack success,such as the number of probes,number of honeypot mapping rules,the virtual node deception rate,the honeypot detection rate and allowable ***,our prototype system using Software Defined Network(SDN) and Data Plane Development Kit(DPDK) verifies the effectiveness of the model against reconnaissance.

关键词： red Anti-reconnaissance Model of Host Fingerprint Based on Virtual Node Virtual Model

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Network Topology Change Detection Based on Statistical Process Control 20

Network Topology Change Detection Based on Statistical Proce...

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4th High Performance computing and Cluster Technologies Conference, HPCCT 2020 and the 3rd International Conference on Big Data and Artificial Intelligence, BDAI 2020

作者： Liu, Yan Liu, Lian Yan, Yu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Investigation Technology Center PLCMC Beijing China First Affiliated Hospital of Chongqing Medical University Chongqing China

ISBN: (纸本)9781450375603

Network topology is one of the most important parts in network security situation awareness tasks. Considering that the topology may change due to network intrusion, adjustment of routing policies, etc., the traditional static topology analysis methods cannot capture the dynamic change of network topology with time, which leads to the problem of weak early warning ability. To find out the small trend changes of the network topology over time, a network topology change detection method is proposed based on statistical process control: 1) to simplify the continuous dynamics of network topology, the observation network is regarded as a sampling sequence of the topological networks that dynamically change with time, a longitudinal topological network is constructed;2) to quantify the differences of network structure from multiple perspectives, network structure parameters of each period are selected and measured;3) to find out the trendy structural change in the longitudinal topological network, the cumulative sum method in industrial control is introduced to evaluate the change of topological parameters and further track to the starting time of change. Extensive experiments are performed on the simulation data, showing that compared with simple parameter statistics method, the method proposed can be sensitive to network changes and trace back to the beginning of the trend change. © 2020 ACM.

关键词： Network topology

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