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International Conference on Computer and Communications (ICCC)

作者： Tong Zhou Song Guo Yuanwu Lei Yong Dou National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

This paper aimed to improve MIMO detector's performance in both throughput and cost. Thus, it presents a FPGA architecture implementation for the SQRD detection in a 4 × 4 16-QAM MIMO wireless communication systems. The exploitation of fine-grained parallelism and coarse-grained parallelism strategies are responsible for bettering the performance of the implementation. Besides, this paper proposes a method to ensure the correctness of the implementation of time-sharing modules, which is general and applicable to any MIMO detector implementation. The work results in a real-time FPGA-based implementation delivering 32 MSQRD/s with 5.2 us latency and lowering more than 50\% cost in hardware resources on a Xilinx Virtex6.

关键词： parallel processing MIMO Hardware Throughput Detectors Matrix decomposition Computer architecture

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DIPP——An LLC Replacement Policy for On-chip Dynamic Heterogeneous Multi-core Architecture

DIPP——An LLC Replacement Policy for On-chip Dynamic Hetero...

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International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015

作者： Zhang Yang Xing Zuocheng Ma Xiao Science and technology on Parallel and distributed processing laboratory National University of Defense Technology

As the big data era is coming,it brings new challenges to the massive data processing.A combination of GPU and CPU on chip is the trend to release the pressure of large scale *** found that there are different memory access characteristics between GPU and *** most important one is that the programs of GPU include a large number of threads,which lead to higher access frequency in cache than the CPU *** the LRU policy favors the programs with high memory access frequency,the programs of GPU can't get the corresponding performance boost even more cache resources are *** LRU policy is not suitable for heterogeneous multi-core *** on the different characteristics of GPU and CPU programs on memory access,this paper proposes an LLC dynamic replacement policy--DIPP(Dynamic Insertion/Promotion Policy) for heterogeneous multi-core *** core idea of the replacement policy is to reduce the miss rate of the program and enhance the overall system performance by limiting the cache resources that GPU can acquire and reducing the thread interferences between *** compare the DIPP replacement policy with LRU and we conduct a classified discussion according to the program results of *** programs enhance 23.29% on the average performance(using arithmetic mean).Large working sets programs can improve 13.95%,compute-intensive programs enhance 9.66% and stream class programs improve 3.8%.

关键词： Big data Heterogeneous Multicore Replacement Policy DIPP

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SASLL: A System Annotating Semantic Label of Location

SASLL: A System Annotating Semantic Label of Location

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Ruosong Yang Dianxi Shi Han Li Xiaoyun Mo School of Computer Science National Laboratory for Parallel and Distributed Processing Changsha Hunan

ISBN: (纸本)9781467372121

Nowadays GPS embedded in mobile device such as smartphones can easily identify people's physical locations. However, in daily life people are more concerned about semantic locations (such as dormitories, laboratories, shopping malls, etc.). Usually GPS positioning uses continuous sampling method, which results in a lot of semantically independent sample points. We call these points outliers. How to remove outliers from GPS data and thereby cluster meaningful semantic places is a research challenge in current field of pervasive computing. Aiming at the characteristics of this problem, we first propose a novel approach to add semantic annotations to newly discovered places every day. We use an unsupervised method to discover semantic places, which ensures accuracy of the results and reduces the amount of calculation. Secondly, we discuss the concept of outliers in GPS data collected in daily life, and then eliminate outliers using a density-based method. Moreover, we perform experiments to validate its effectiveness. Thirdly by taking advantage of rule-based inference and reverse geocoding we proposed an approach to calculate the probable semantic labels, which can help user annotate places and reduce the burden on users. Finally, we develop a local System Annotating Semantic Label of Location(SASLL) and by carrying out experiments we demonstrate the validity of our research.

关键词： Semantics Global Positioning System Clustering algorithms Smart phones Roads IEEE 802.11 Standard

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AutoMal: Automatic clustering and signature generation for malwares based on the network flow

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Security and Communication Networks 2015年第10期8卷 1845-1854页

作者： Hao, Sun Wang, Wen Lu, Huabiao Ren, Peige School of Computer National University of Defense Technology Changsha China National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

The volume of malwares is growing at an exponential speed nowadays. This huge growth makes it extremely hard to analyse malware manually. Most existing signatures extracting methods are based on string signatures, and string matching is not accurate and time consuming. Therefore, this paper presents AutoMal, a system for automatically extracting signatures from large-scale malwares. Firstly, the system proposes to represent the network flows by using feature hashing, which can dramatically reduce the high-dimensional feature spaces that are general in malware analysis. Then, we design a clustering and median filtering method to classify the malware vectors into different types. Finally, it introduces the signature generation algorithm based on Bayesian method. The system can extract both the byte signature and the hash signature of malwares from its network flow with low false positive and zero false negative. Our evaluation shows that AutoMal can generate strongly noise-resisted signatures that exactly depict the characteristics of malware. © 2014 John Wiley & Sons, Ltd.

关键词： Malware

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User Emotion Recognition Based on Multi-class Sensors of Smartphone

User Emotion Recognition Based on Multi-class Sensors of Sma...

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IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Dianxi Shi Xi Chen Jing Wei Ruosong Yang National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha Hunan China

In this paper, we study about the problem of how to recognize the user emotion based on smartphone data more really. With single data used in the previous studies, it cannot make a comprehensive response of user behavior patterns. So we collected fine-grained sensing data which could reflect user daily behavior fully from multiple dimensions based on smartphone, and then used multidimensional data feature fusion method and six classification methods such as Support Vector Machine (SVM) and Random Forests. Finally, we carried out contrast experiment with twelve volunteers' hybrid data and personal data respectively to recognized user emotion based on discrete emotion model and circumplex emotion model. The results show that the multidimensional data feature fusion method we mentioned which could reflect user behavior comprehensively present high accuracy. The initial use of the hybrid data train only have 72.73% accuracy rate, but after personal data training the accuracy rate can reach 79.78%. In the experimental of different emotion model, circumplex emotion model is better than discrete emotion model.

关键词： Emotion recognition Sensors Mobile handsets Data collection Feature extraction Support vector machines Physiology

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Partial Clones for Stragglers in MapReduce

Partial Clones for Stragglers in MapReduce

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International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015

作者： Jia Li Changjian Wang Dongsheng Li Zhen Huang National Laboratory for Parallel and Distributed Processing School of Computer ScienceNational University of Defense Technology

Stragglers can temporize jobs and reduce cluster efficiency *** researches have been contributed to the solution,such as Blacklist[8],speculative execution[1,6],Dolly[8].In this paper,we put forward a new approach for mitigating stragglers in Map Reduce,name *** starts task clones only for high-risk delaying *** experiments have been carried and results show that it can decrease the job delaying risk with fewer resources *** small jobs,Hummer also improves job completion time by 48% and 10% compared to LATE and Dolly.

关键词： MapReduce mitigating stragglers task clones

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Accelerating FDTD simulation of microwave pulse coupling into narrow slots on the Intel MIC architecture

Accelerating FDTD simulation of microwave pulse coupling int...

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IEEE Pacific Rim Conference on Communications, Computers and Signal processing, PACRIM 2015

作者： Wang, Qinglin Liu, Jie Cui, Xiantao Fu, Guitao Gong, Chunye Xing, Zuocheng Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China School of Computer Science National University of Defense Technology Changsha410073 China Beijing Satellite Navigation Center Beijing100094 China

ISBN: (纸本)9781467377881

The coupling of microwaves into apertures plays an important part in many electromagnetic physics and engineering fields. When the width of apertures is very small, Finite Difference Time Domain (FDTD) simulation of the coupling is very time-consuming. As a many-core architecture, the Intel's Many Integrated Core (MIC) architecture owns 512-bit vector units and more than 200 threads. In this paper, we parallelize FDTD simulation of microwave pulse coupling into narrow slots on the Intel MIC architecture. In the implementation, the parallel programming model OpenMP is used to exploit thread parallelism while loop unrolling and SIMD intrinsic functions are utilized to accomplish vectorization. Compared with the serial version on Intel Xeon E5-2670 CPU, the implementation on the MIC coprocessor including 57 cores obtains a speedup of 11.57 times. The experiment results also demonstrate that the parallelization has good scalability in performance. Additionally, how binding relationship between OpenMP threads and hardware threads in MIC influences performance is also reported. © 2015 IEEE.

关键词： Scalability

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Chameleon: Adaptive energy-efficient heterogeneous network-on-chip

Chameleon: Adaptive energy-efficient heterogeneous network-o...

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IEEE International Conference on Computer Design: VLSI in Computers and Processors, (ICCD)

作者： Ji Wu Dezun Dong Xiangke Liao Li Wang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

Multi-NoC (multiple network-on-chip) has demonstrated its advantages in power gating for reducing leakage power. This work presents Chameleon, a novel heterogeneous Multi-NoC design. Chameleon employs a fine-grained power gating algorithm which exploits power saving opportunities at different levels of granularity simultaneously. Integrated with a performance-aware traffic allocation policy, Chameleon is able to achieve both high power efficiency and good performance at varying network utilization. Our experimental results show that Chameleon delivers an average of 3.39% higher performance than Catnap, the best in the literature. More importantly, Chameleon consumes an average of 17.16% less power than Catnap.

关键词： Resource management Routing Algorithm design and analysis Optimization Logic gates Computers Power demand

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Accelerating Monte Carlo Simulation of Neutron Transport on the Intel MIC Architecture

Accelerating Monte Carlo Simulation of Neutron Transport on ...

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International Conference on Information Science and Control Engineering (ICISCE)

作者： Xiantao Cui Jie Liu Lihua Chi Qinglin Wang Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781467368513

Simulation of particle transport is critical for a great many of scientific and engineering domains. The Monte Carlo (MC) method is one of the most important numerical methods for the simulation of particle transport, and can simulate many complex types of particle transport. But the computation requirement of the MC simulation is very large. In 2010, Intel announced the Intel Many Integrated Core (MIC) architecture, which consists of many simple general-purpose cores and supports the well-known shared-memory execution model that is the base of most nodes in HPC machines. On account of the independence of simulation of each particle in the MC method, it is well-suited to accelerate the MC simulation on MIC. In this paper, an algorithm named MCNP-MIC based MIC is presented for MC simulation of neutron transport in the context of deep penetration problem, which includes the development of parallel random generator, the assignment of particle number based thread number and the design of high efficiency data structures for parallelism. Eventually, we get the results as follows: with the same problem scale and computational accuracy, the MCNPMIC algorithm has achieved roughly 5.6-fold speedup running on a 57-core MIC chip in comparison with the serial MCNP algorithm on an Intel Xeon E5-2670 CPU.

关键词： Microwave integrated circuits Neutrons Algorithm design and analysis Monte Carlo methods Data structures Graphics processing units

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Robust Weighted Supervised Sparse Coding for Image Classification

Robust Weighted Supervised Sparse Coding for Image Classific...

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2015 IEEE 16th International Conference on Communication Technology(ICCT 2015)

作者： Xiang Zhang Naiyang Guan Zhigang Luo College of Computer National University of Defense Technology National Laboratory for Parallel and Distributed Processing National University of Defense Technology

Sparse coding has shown its great potential in learning image feature representation. Recent developed methods such as group sparse coding prefer discovering the group relationships among examples and have achieved the state-of-the-art results in image classification. However, they suffer from poor robustness shortcomings in practice. This paper proposes a robust weighted supervised sparse coding method(RWSSC) to address this ***, RWSSC distinguishes different classes' contributions to the sparse coding by a novel weighting strategy meanwhile removes the out liers by imposing1 l-regularization over the noisy entries. Benefitting from these strategies, RWSSC can effectively boost performance of sparse coding in image ***, we developed the block coordinate descent algorithm to optimize it, and proved its *** results of image classification on two popular datasets show that RWSSC outperforms the representative sparse coding methods in quantities.

关键词： Sparse coding Supervised learning Image classification

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