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Data dependence-based optimistic data consistency maintenance method

Data dependence-based optimistic data consistency maintenanc...

引用

6th IEEE International Conference on Computer and Information technology, CIT 2006

作者： Zhou, Jing Wang, Yijie Li, Sikun National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology China

ISBN: (纸本)076952687X

Data replication introduces well-known consistency issues. This paper puts forward the question about data dependence in data consistency, which embodies pseudo-conflict updates and update dependency. According to that, an optimistic data consistency method is proposed. In our method, data object is partitioned into data blocks by fixed size, as the basic unit of data management. Updates are compressed by Bloom filter technique and propagated in double-path. Negotiation algorithms detect and reconcile update conflicts, and dynamic data management algorithms accommodate dynamic data processing. The results of the performance evaluation show that our method is an efficient method to achieve consistency, good dynamic property, and strong robustness. © 2006 IEEE.

关键词： Information technology

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Social computing in open source community: A study of software reuse 2nd

Social computing in open source community: A study of softwa...

引用

2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016

作者： Chen, Mengwen Wang, Tao Yang, Cheng Fan, Qiang Yin, Gang Wang, Huaimin National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9789811020520

Software projects are not developed in isolation but often build upon other open source resources. These projects form a kind of reference ecosystem regarded as a software world. Most of social computing works focus on social networks such as Facebook and weibo to mine information. However, few previous works analyze Open Source Community which could help developers conduct collaborative development. In this paper, we model the Java reference ecosystem as a network based on the reuse relationships of GitHub-hosted Java projects and analyze the characteristics and the patterns of this reference ecosystem by using community detection and pattern discovery algorithms. Our study indicates that (1) Developers prefer to reuse software limited in only a small part of projects with cross cutting functionality or advanced applications. (2) Developers usually select software reused with similar function widely depending on different requirements, resulting to different patterns. Based on these collective intelligence, our study opens up several possible future directions of reuse recommendation, which are considered as guidance of collaborative development. © Springer science+Business Media Singapore 2016.

关键词： Open source software

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Design and practice on iVCE for memory system

Design and practice on iVCE for memory system

引用

16th IEEE International Conference on parallel and distributed Systems, ICPADS 2010

作者： Chu, Rui Tian, Tian Lin, Zhenli National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9780769543079

As one of the components in iVCE software platform, iVCE/M devotes to the performance improvement of the I/O-intensive and memory-intensive applications with efficient aggregation of distributed memory resources. To facilitate the deployment of iVCE/M, the data locating algorithm with balanced time and space cost, as well as the transparent interface for the legacy applications without code modification, are both significant in the implementation of iVCE/M. We propose the logarithmic search tree based client-side metadata structure to accelerate the data locating using moderate memory consumption, the implicit I/O redirection mechanism, and the implementation of iVCE/M based disk cache system. The experiments with cross domain emulation prove that the scheme is applicable to exploit the distributed memory resources for applications with small granularity I/O accesses. © 2010 IEEE.

关键词： Application programs

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HiAL-Ckpt: A hierarchical application-level checkpointing for CPU-GPU hybrid systems

HiAL-Ckpt: A hierarchical application-level checkpointing fo...

引用

International Conference on Computer science and Education

作者： Xu, Xinhai Lin, Yufei Tang, Tao Lin, Yisong National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781424460052

In light of its powerful computing capacity and high energy efficiency, GPU (graphics processing unit) has become a focus in the research field of HPC (High Performance Computing). CPU-GPU heterogeneous parallel systems have become a new development trend of super-computer. However, the inherent unreliability of the GPU hardware deteriorates the reliability of super-computer. We have researched on the fault-tolerance(FT) technique for CPU-GPU heterogeneous parallel systems, and introduced a new checkpointing mechanism, i.e., the hierarchical application-level checkpointing, for such systems. The basic idea of this new checkpointing mechanism is checkpointing at two independent levels, i.e., CPU level and GPU level, to tolerate CPU and GPU faults respectively. Based on the idea, we have also designed and implemented a hierarchical application-level checkpointing tool "HiAL-Ckpt". Using this tool, programmers can insert two kinds of directives, i.e., CPU directives and GPU directives into a program, and the compiler will transform the directives into CPU or GPU checkpointing codes according to their nature. From the case study of SWIM, a test bench from spec2000 benchmark suite, we have demonstrated the validity of the hierarchical application-level checkpointing technique. The experimental results show that the falut-tolerance temporal cost of HiAL-Ckpt for SWIM is only 2.25%, compared with the executing time of SWIM without any FT work. ©2010 IEEE.

关键词： Graphics processing unit

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Jammer localization in wireless sensor networks

Jammer localization in wireless sensor networks

引用

5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

作者： Yanqiang, Sun Xiaodong, Wang National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781424436934

Jamming style Denial-of-Service attack is the transmission of radio signals that disrupt communications by decreasing the signal to noise ratio. This kind of attack can be easily launched by jammer through either bypassing MAC-layer protocols or emitting a radio signal targeted at blocking a particular channel. In this paper, we consider the item of localizing a jammer in which little work has been done. First we explored the existing localization algorithms that have been used in wireless sensor networks. We then proposed a Geometry-Covering based Localization (GCL) algorithm, which utilizes the knowledge of computing geometry, especially the convex hull. Simulation results showed that GCL is able to achieve higher accuracy than Centroid Localization, and has the time complexity of O (nlogn) , which is proper to sensor networks. ©2009 IEEE.

关键词： Geometry

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A full-pipelined architecture of the schnorr-euchner MIMO sphere decoder

引用

9th FTRA InternationalConference on Future Information technology, FutureTech 2014

作者： Guo, Lei Zeng, Shirong Dou, Yong Jiang, Jingfei National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9783642550379

Multiple-input and multiple-output (MIMO) is an important approach in high-rate wireless communications. The Schnorr-Euchner (SE) sphere-decoding algorithm enables fast detection for receivers by recursive tree searching with optimized expanding order. In this paper, we propose a looped-pipeline architecture for an SE MIMO detector that processes multiple groups of data in parallel. The full-pipelined design has a short critical path that provides a maximum working frequency of 229 MHz on FPGA. High throughput is achieved at a relatively low cost. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Field programmable gate arrays (FPGA)

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MemHole: An efficient black-box approach to consolidate memory in virtualization platform

MemHole: An efficient black-box approach to consolidate memo...

引用

41st International Conference on parallel processing Workshops, ICPPW 2012

作者： Zhang, Pengfei Chu, Rui Wang, Huaimin National Laboratory for Parallel and Distributed Processing National University of Defense Technology United States

ISBN: (纸本)9780769547954

As an important aspect of the hardware resource consolidation in virtualization environment, memory consolidation and over-commitment has been motivated by the increasing elastic computing cloud platform. The most popular consolidation technology, Memory Balloon, might introduce serious performance penalty with thrashing when guest memory usage changes dramatically. In order to overcome the drawback of Memory Balloon and guarantee the system performance, we propose Mem Hole, which provides more guest physical memory than really allocated and makes the corresponding host physical mapping undetermined until accessed, to reduce the thrashing of guest memory paging. The prototype of Mem Hole has been implemented in Xen platform and the efficiency has been shown in the preliminary evaluation. © 2012 IEEE.

关键词： Virtualization

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Optimized deep belief networks on CUDA GPUs

Optimized deep belief networks on CUDA GPUs

引用

International Joint Conference on Neural Networks, IJCNN 2015

作者： Li, Teng Dou, Yong Jiang, Jingfei Wang, Yueqing Lv, Qi National Laboratory for Parallel and Distributed Processing National University of Defense and Technology Changsha China

ISBN: (纸本)9781479919604

A deep belief network (DBN) is an important branch of deep learning models and has been successfully applied in many machine learning and pattern recognition fields such as computer vision and speech recognition. However, the training of billions of parameters in DBN is computationally challenging for modern central processing units (CPUs). Many studies have reported the efficient implementations of the pre-training process of DBNs for graphics processing units (GPUs), but few studies have mentioned the fine-tuning process of DBNs. In this paper, we describe an efficient DBN implementation on the GPU, including the pre-training and fine-tuning processes. Experimental results show that our proposed method on the GPU (NVIDIA Tesla K40c) achieves up to 22 speedups on the pre-training process and 33 speedups on the fine-tuning processes compared with conventional CPU (Intel Core i7-4790K) implementations. Moreover, the performance of our algorithm is superior to that of the OpenBLAS library on the CPU and the CUBLAS library on the GPU. © 2015 IEEE.

关键词： Graphics processing unit

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Mapping OpenMP concepts to the stream programming model

Mapping OpenMP concepts to the stream programming model

引用

International Conference on Computer science and Education

作者： Tang, Tao Lin, Yisong Ren, Xiaoguang National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781424460052

OpenMP is a widely used parallel programming model on traditional multi-core processors. Generally, OpenMP is used to develop fine-grained parallelism through a multithread model. Stream programming model is a new kind of parallel programming model for stream architectures. OpenMP bears a resemblance to the stream programming model at some level. The transformation between the two models has attracted much attention from the research community, since it is the foundation of porting programs between the two architectures. Most related researches focus on the efficiency of porting existing parallel programs to the new architectures such as GPUs. Very few of these studies, however, focus on the portative problem systematically, namely, what kind of parallel programs can be or should be transplanted into stream programs and mapped to run on the stream processors. In this paper, we study the mapping relationship of parallel mechanism in OpenMP to the stream programming model, and point out those parallel mechanisms in OpenMP that are infeasible or undesirable for stream programs. By analyzing two typical benchmarks, we draw the conclusion that a majority of scientific applications are suitable to be mapped to the stream programming model. Our conclusion effectively validates the idea of accelerating scientific applications with the stream processors. ©2010 IEEE.

关键词： Mapping

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A distributed class-incremental learning method based on neural network parameter fusion 21

A distributed class-incremental learning method based on neu...

引用

21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data science and Systems, HPCC/SmartCity/DSS 2019

作者： Guan, Hongtao Wang, Yijie Ma, Xingkong Li, Yongmou National Laboratory for Parallel and Distributed Processing College of Computer Science and Technology National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781728120584

Class-incremental learning has received considerable attention due to the better adaptability to constantly changing characteristic of online learning. The neural network is suitable for class-incremental learning because of batch training style and fine-tuning. However, as the rapid growth of data centers and data category, data isolated island problem presents a new challenge to the current machine learning model: how to provide an accurate training method in a distributed and incremental manner. Existing solutions cannot adapt to incremental classes without aggregating data. In this paper, we propose a distributed class-incremental learning framework, called DCIL, which iteratively updates new class parameters and fixes existing class parameters to achieve high training accuracy. Especially, we propose MF, a parameter fusion method to integrate the parameters of multi-nodes into a new global parameter. In order to match the requirements of identical columns corresponding to the known classes, we propose a single node class-incremental learning, called SCIL. To evaluate the performance of DCIL, we conduct experiments on 5 datasets under various parameter settings on both 2 and 4 nodes distributed scenarios. Extensive experiments confirm that DCIL outperform the general baselines and achieve classification accuracy closes to the method of data aggregating. © 2019 IEEE.

关键词： Iterative methods

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