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检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

共 1769 条记录，以下是591-600 订阅

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Improving read performance of lsm-tree based KV stores via dual grained caches 21

Improving read performance of lsm-tree based KV stores via d...

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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： Li, Xiang Xu, Guangping Fan, Hao Lu, Hongli Tang, Bo Xue, Yanbing Zong, Ziliang School of Computer Science and Engineering Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education China Department of Computer Science Texas State University San MarcosTX United States

ISBN: (纸本)9781728120584

Key-value (KV) stores based on the Log-structure Merge tree (LSM-tree) have been widely used in modern storage systems (e.g. LevelDB and RocksDB) to achieve high write throughput. However, conventional LSM-tree design has high latency for random read operations, especially in the workloads with concurrent read and write operations. This paper proposes a dual-grained cache scheme to improve the performance of LSM-tree based KV stores, in which a coarse-grained cache improves read performance by leveraging spatial locality and a fine-grained cache tracks the frequently accessed KV pairs. We implement the dual-grained caching on a LSM-tree simulator and evaluate its performance using various Yahoo! Cloud Service Benchmark (YCSB) workloads. Our experimental results show that the proposed way of dual-grained caches can significantly improve the read performance of KV stores without sacrificing the advantages of the LSM-tree for write-intensive workloads. © 2019 IEEE.

关键词： Compaction Throughput Conferences Indexes computer science Benchmark testing Distributed databases

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A recovery path selection algorithm using gray comprehensive evaluation for sdn data plane failures 21

A recovery path selection algorithm using gray comprehensive...

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作者： Wu, Junying Peng, Yunfeng Song, Meng Zhang, Liang School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9781728120584

Software Defined Networking (SDN) features in centralized control, which can provide transparent and fast recovery from failures. Most of the existing recovery solutions for SDN concentrate on rerouting the disrupted flows, which results in long recovery time due to excessive protocol overhead between the controller and switches. In this paper, we propose a recovery algorithm for link failures in SDN data plane, by introducing the gray comprehensive evaluation concept. The simulation results show that the proposed algorithm can effectively reduce the recovery time by 20.3% and response time by 22.3%. © 2019 IEEE.

关键词： Software defined networking

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Overview of high performance computing Power Building for the Big Data of Marine Forecasting

Overview of High Performance Computing Power Building for th...

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Big Data and Informatization Education (ICBDIE), international Conference on

作者： Bo Lin National Marine Environment Forecast Center Ministry of Natural Resources Beijing China

ISBN: (数字)9781728159003

ISBN: (纸本)9781728159010

This thesis introduced the construction and development process of high-performance computing of marine forecasting from scratch, from small to large, from weak to strong by National Marine Environmental Forecasting Center of the Ministry of Natural Resources of the People's Republic of China in the past half century; expounded the “two milestones”: zero breakthrough of high-performance computing of marine forecasting and computing power exceeding 1 billion times per second for the first time from the early 1970s to the late 1990s in high-performance computing of ocean forecasting, and the achievements of ocean forecasting on the journey of globalization, refinement and high resolution with the help of high-performance computing after entering the 21st century; studied, designed and showed a better architecture blueprint for the next generation of the high-performance computer system for marine forecasting; pointed out that there were gaps between the high-performance computing of marine forecasting and the international advanced one, domestic advanced one and professional requirements, and put forward two suggestions to enhance the computing capability of existing equipment through technological innovation and scientific research innovation from the perspective of professional technology; and finally held that there was still a long way to go to build China's high-performance computing power for marine forecasting in comparison with the medium and long-term objectives and tasks of the modernization of marine forecasting.

关键词： Forecasting Globalization Numerical models Big Data Computational modeling Ocean temperature

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A new storage workload management model for high-performance I/O systems 21

A new storage workload management model for high-performance...

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作者： Huang, Huang Sheng, You Yutong, Lu College of Computer National University of Defense Technology Changsha 410073 China National Supercomputer Center in Changsha Changsha410082 China School of Data and Computer Science Sun Yat-Sen University Guangzhou510006 China

ISBN: (纸本)9781728120584

Data-intensive applications involve with massive data, ranging from terabytes to petabytes, which is a critical bottleneck in the next generation systems. In this article, we mainly focus on system I/O competition caused by the data-intensive applications and unbalanced storage capacity, and attempt to develop effective solutions to alleviate this issue. To this end, we develop an I/O middleware based method. The core of our middleware is the storage workload management model (SWMM), which allows us to adjust and optimize the I/O access process efficiently and flexibly. We have implemented our solution and conducted extensive tests based on a petascale system. The experimental results demonstrate the effectiveness and efficiency of our solution. © 2019 IEEE.

关键词： Middleware

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TripletRun: A dataflow runtime simulator and its performance model 21

TripletRun: A dataflow runtime simulator and its performance...

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作者： Lin, Han An, Hong Li, Mingfan Lin, Zeng Chen, Junshi Han, Wenting School of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781728120584

Dataflow, as a representative fine-grained parallel model, has a great potential in heterogeneous computing thanks to its being good at representing dependencies and eliminating global synchronization. In this paper, we present TripletRun, a dataflow runtime simulator. It abstracts hardware features and software behaviors in a very general way. Moreover, it supports some state-of-the-art task scheduling algorithms and provides metrics for building performance model conveniently. TripletRun provides a new perspective for searching better dataflow program execution models and for fine-grained parallel task scheduling research on heterogeneous systems. Moreover, TripletRun also has the potential to be applied in actual systems. © 2019 IEEE.

关键词： Simulators

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A bayesian improved defense model for deceptive attack in honeypot-enabled networks 21

A bayesian improved defense model for deceptive attack in ho...

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作者： Guan, Runyu Li, Lianyang Wang, Tao Qin, Yu Xiong, Weiming Liu, Qin College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9781728120584

Internet and cloud computing are developing rapidly. Nowadays malicious network users often conceal attacks as ordinary access, but intrusion detection systems can not completely distinguish them. This paper proposed a decision model for network defenders of honeypot-enabled system. It firstly modeled the interaction between the malicious user and the defender as repeated games, and depicted the uncertainty behaviors of the malicious users by Bayesian model. Then based on the relative historical payoffs of game players, a Bayesian improved model is proposed. By the model defender decides whether to lead the visitor to regular services or to honeypots, which increases the attacker's cost and reduces attacks finally. © 2019 IEEE.

关键词： Game theory

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An anti-occlusion correlation filter algorithm for visual tracking 21

An anti-occlusion correlation filter algorithm for visual tr...

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作者： Qi, Shengyuan Liu, Zhigang Zhang, Juan Wang, Lei Yang, Juntong School of Computer and Communiciation Engineering Northeastern University Qinhuangdao China

ISBN: (纸本)9781728120584

Visual tracking is one of the most challenging problems in computer vision, and occlusion is one of the difficulties in visual tracking. Since the appearance of the correlation filter tracker, it has attracted the attention of researchers with its superior speed and performance. But the correlation filter tracker has low robustness to occlusion problem. In order to improve the performance of the tracker, we design a dual-feature and dual-correlation filter based on Kernel Correlation Filter (KCF) by fusing spatio-temporal correlation filter, meanwhile, we propose a novel adaptive model updating method. Finally, the algorithm is tested on the OTB data benchmark. Experimental results show our result is better than many classical algorithms including KCF. © 2019 IEEE.

关键词： Target tracking Correlation Filtering algorithms Kernel Feature extraction Robustness Discrete Fourier transforms

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Load balancing for multi-physics simulations 21

Load balancing for multi-physics simulations

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作者： Chen, Chunsen Li, Kenli Liu, Xu Li, Keqin College of Information Science and Engineering Hunan University Changsha China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing China Department of Computer Science State University of New York New York United States

ISBN: (纸本)9781728120584

Multi-physics simulations are usually essential to simplify researches on complex physical phenomena. In this paper, we extend the rectangular partitioning from single-physics simulations to multi-physics simulations. This work presents the Single-rectangle Tightly-coupled algorithm (st) and Multirectangle Tightly-coupled algorithm (MT) based on rectangular partitioning. The MT algorithm is more flexible and achieves higher load balancing efficiency than the st algorithm by greedily assigning the remaining unallocated most loaded rectangle to the least loaded processor and assigning k rectangles to each of the processors. To study the effect of machine characteristics on load balancing, the experiments use two types of machine parameters based on Tianhe-2 supercomputer. Inspired by the roofline model, this paper analyzes the relationship among the choice of the load balancing algorithms, the load characteristics of multi-physics application and the features of high performance parallel computer through the comparison experiment of looselycoupled algorithm and tightly-coupled algorithm. In the case of LARED-P, MT algorithm can further reduce the total simulation time compared with the st algorithm. Through experiments, we show that whether the load balancing algorithm is effective depends on both the load characteristics of multi-physics simulation and the features of high performance parallel computer. © 2019 IEEE.

关键词： Supercomputers

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K-means parallel acceleration for sparse data dimensions on flink 21

K-means parallel acceleration for sparse data dimensions on ...

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作者： Zeng, Zihao Li, Kenli Duan, Mingxing Liu, Chubo Liao, Xiangke Dept. College of Computer Science and Electronic Engineering Hunan University Changsha China Dept. College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781728120584

The K-means algorithm is a clustering algorithm which widely used in various applications, and it's running time is dramatically increased as the data size expanded. When the volume of data exceeds the range that can be carried by a single machine, the parallel operation of the algorithm must be implemented by using a distributed computing framework. Generally, during the parallel operation of the task, there are differences among the running time of each task due to the data skew, and the running progress of the entire job is determined by the task with the longest running time. In this paper, we propose an optimal data partitioning method for the application of the k-means algorithm on the sparsely dimensioned dataset to eliminate the data skew problem and further accelerate the parallel execution of the algorithm. Experimental evaluation on large-scale text datasets demonstrate the effectiveness of our partitioning approach on Flink. © 2019 IEEE.

关键词： K-means clustering

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Pre-trained language model transfer on chinese named entity recognition 21

Pre-trained language model transfer on chinese named entity ...

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作者： Zhao, Huan Xu, Mingquan Cao, Jie College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9781728120584

The challenges of natural language processing (NLP) lie in the polysemy and insufficiency of human-labeled training data. Bidirectional Encoder Representations from Transformers (BERT) facilitates pre-training deep bidirectional representations on large-scale unannotated text on the web and has created state-of-the-art performance on various NLP tasks after simple fine-tuning. The representation and application of semantic knowledge are important steps in the entire process of NLP tasks. In this work, for the encoder of our model, we encode an input sequence into contextual representations using pre-trained language model and design a new model that combines neural network with BERT. Experimental results show that our method achieves new state-of-the-art. © 2019 IEEE.

关键词： Signal encoding

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