2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)最新文献_第5页

Improved coding gain of clipped OFDM signal using avalanche effect of AES block cipher 利用AES分组密码的雪崩效应提高截断OFDM信号的编码增益

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121910

M. Y. El-Ganiny, H. Elattar, M. Aboul-Dahab, Talaat A. Elgarf

引用次数: 3

A fast and scalable FPGA-based parallel processing architecture for K-means clustering for big data analysis 一个快速和可扩展的基于fpga的并行处理架构，用于大数据分析的K-means聚类

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121905

R. Raghavan, D. Perera

{"title":"A fast and scalable FPGA-based parallel processing architecture for K-means clustering for big data analysis","authors":"R. Raghavan, D. Perera","doi":"10.1109/PACRIM.2017.8121905","DOIUrl":"https://doi.org/10.1109/PACRIM.2017.8121905","url":null,"abstract":"The exponential growth of complex, heterogeneous, dynamic, and unbounded data, generated by a variety of fields including health, genomics, physics, climatology, and social networks pose significant challenges in data processing and desired speed-performance. Existing processor-based software-only algorithms are incapable of analyzing and processing this enormous amount of data, efficiently and effectively. Consequently, some kind of hardware support is desirable to overcome the challenges in analyzing big data. Big data analytics involves many important data mining tasks including clustering, which categorizes the data into meaningful groups based on the similarity or dissimilarity among objects. In this research work, we introduce an efficient FPGA-based parallel processing architecture for K-means Clustering, one of the most popular clustering algorithms. Experiments are performed on a benchmark dataset to evaluate the feasibility and efficiency of our hardware design. Our hardware architecture is generic, parameterized, and scalable to support larger and varying datasets as well as a varying number of clusters. Our hardware configuration with 32 processing elements (PEs) achieved 368 times speedup compared to its software counterpart.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"C-17 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121005243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

A kernel-based solution for overload in mixed criticality multicore systems 基于核的混合临界多核系统过载解决方案

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121913

Mostafa A. Al-Dosuky, M. Safar, M. El-Kharashi

{"title":"A kernel-based solution for overload in mixed criticality multicore systems","authors":"Mostafa A. Al-Dosuky, M. Safar, M. El-Kharashi","doi":"10.1109/PACRIM.2017.8121913","DOIUrl":"https://doi.org/10.1109/PACRIM.2017.8121913","url":null,"abstract":"Mixing tasks of different criticality levels on the same processor has become common in modern embedded systems. Scheduling these complex systems on multicore processors is difficult, especially when targeting high utilization. The overload in mixed criticality systems is one of the important problems that faces system designers and may force them to lower the cores utilization to avoid this risky problem. If a fully utilized system is overloaded and no solution is applied, many of coming jobs will miss their deadlines and the system may stay overloaded all the time and never return back to its normal behavior. So, the overload must be transient and the system should guarantee that it can return back its normal behavior shortly after overload happens. In this paper, we present a kernel-based solution for the overload in mixed criticality systems using virtual time. A virtual timer delays the release time and deadlines of tasks in an overload state for a short time to guarantee that it can return back as quickly as possible to its normal behavior. The proposed solution avoids using any user space invocation, as it detects the overload and recovers from it completely inside the kernel space. Our experiments show that the time to recover from overload once it happens is decreased using our proposed technique.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"52 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132811083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Running a MPI program on web browsers 在浏览器上运行MPI程序

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121930

S. Okamoto, Masaki Kohana

引用次数: 2

User controlled object sharing between Java VM instances Java虚拟机实例之间的用户控制对象共享

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121934

A. Bierbrauer, K. Nasartschuk, Adam Richard, K. Kent, Peter Shipton

引用次数: 0

Enhanced congestion control method for servers and network lines with DPI technology 使用DPI技术增强服务器和网络线路的拥塞控制方法

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121903

S. Kato, Kenichiro Hida, S. Kuribayashi

{"title":"Enhanced congestion control method for servers and network lines with DPI technology","authors":"S. Kato, Kenichiro Hida, S. Kuribayashi","doi":"10.1109/PACRIM.2017.8121903","DOIUrl":"https://doi.org/10.1109/PACRIM.2017.8121903","url":null,"abstract":"The use of Deep Packet Inspection (DPI) equipment in a network could simplify the conventional work load for system management and accelerate the control action. The authors proposed a congestion control method that uses a DPI device installed in a network to estimate overload conditions of servers or network links and, upon detecting an overload condition, resolves congestion by moving some virtual machines to other servers or rerouting some communication flows. However, since the previous paper was focused on confirming the effectiveness of using DPI technology, it assumed some restrictive conditions. This paper proposes to enhance the existing DPI-based congestion control, in order to select a solution optimal for the current conditions for cases where there are multiple candidates available for: virtual machines to be moved, physical servers to which virtual machines are to be moved, communication flows to be diverted, and routes to which communication flows are to be diverted. The paper also considers server congestion for cases where computing power congestion and bandwidth congestion occur simultaneously in a server, and link congestion for cases where the maximum allowable network delay of each communication flow is taken into consideration. Finally, the feasibility of the proposed methods is demonstrated by an evaluation system with a real DPI equipment.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115574031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A highly efficient I/O-based out-of-core stencil algorithm with globally optimized temporal blocking 基于全局优化时间块的高效I/ based out-of-core模板算法

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121909

H. Midorikawa, Hideyuki Tan

引用次数: 1

An impression estimation and visualization method for TV commercials 一种电视广告印象估计与可视化方法

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121885

T. Nakanishi, Keisuke Tamaru

引用次数: 0

Deep learning for Amazon satellite image analysis 亚马逊卫星图像分析的深度学习

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121895

Lior Bragilevsky, I. Bajić

引用次数: 17

Knowledge extraction from creators of presentation slides on a slide sharing service 从幻灯片共享服务的演示幻灯片创建者那里提取知识

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121914

Hayato Tsukiji, Kosuke Takano

引用次数: 0