2017 International Conference on High Performance Computing & Simulation (HPCS)最新文献_第6页

Design of Cache Backend Using Remote Memory for Network File System 基于远程内存的网络文件系统缓存后端设计

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.131

Eunji Lim, Shinyoung Ahn, Youngho Kim, Gyuil Cha, Wan-Sik Choi

引用次数: 3

Integrating Heterogeneous Weather-Sensors Data into a Smart-City App 将异构天气传感器数据集成到智能城市应用程序中

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.33

A. Quarati, A. Clematis, Luca Roverelli, Gabriele Zereik, D. D'Agostino, G. Mosca, M. Masnata

{"title":"Integrating Heterogeneous Weather-Sensors Data into a Smart-City App","authors":"A. Quarati, A. Clematis, Luca Roverelli, Gabriele Zereik, D. D'Agostino, G. Mosca, M. Masnata","doi":"10.1109/HPCS.2017.33","DOIUrl":"https://doi.org/10.1109/HPCS.2017.33","url":null,"abstract":"Current weather information is one of the facilities supplied to the users by most travel and mobility systems. Most of them relies on one provider, who can deliver a more or less satisfactory coverage on different geographical areas. In this paper, we present the approach and discuss the rationale that drove the design and development of a mashup service for providing meteorological information within the research project TCUBE (“Transport Territory and Tourism“). TCUBE aims at the creation of a platform of services for travel and mobility in urban territory, with initial focus on Genoa metropolitan area. The goal of the project is to study, develop and validate technologies and solutions for the implementation, deployment, and management of advanced information services for citizens and visitors based on enabling technologies and methodologies such as: Open Data; crowd sourcing and social sharing; sensor infrastructures and services based on spatial data. The mashup service presented herein is able to exploit and integrate weather sensor data provided by the free contributions of citizen scientists' Personal Weather Stations belonging to heterogeneous Weather Networks. Design and technical details of our approach are supplied, thus to make it replicable in other similar urban contexts.","PeriodicalId":115758,"journal":{"name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131766658","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: 11

Workload-Driven Database Optimization for Cloud Applications 面向云应用的工作负载驱动的数据库优化

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.94

C. Diamantini, Alex Mircoli, D. Potena, Valentina Tempera, Matteo Moretti

引用次数: 0

Massive MIMO Design for 5G Networks: An Overview on Alternative Antenna Configurations and Channel Model Challenges 5G网络的大规模MIMO设计:替代天线配置和信道模型挑战概述

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.52

H. M. E. Misilmani, Ahmad M. El-Hajj

引用次数: 26

StochSoCs: High Performance Biocomputing Simulations for Large Scale Systems Biology 随机soc:大规模系统生物学的高性能生物计算模拟

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.156

E. Manolakos, Elias Kouskoumvekakis

{"title":"StochSoCs: High Performance Biocomputing Simulations for Large Scale Systems Biology","authors":"E. Manolakos, Elias Kouskoumvekakis","doi":"10.1109/HPCS.2017.156","DOIUrl":"https://doi.org/10.1109/HPCS.2017.156","url":null,"abstract":"The stochastic simulation of large-scale biochemical reaction networks is of great importance for systems biology since it enables the study of inherently stochastic biological mechanisms at the whole cell scale. Stochastic Simulation Algorithms (SSA) allow us to simulate the dynamic behavior of complex kinetic models, but their high computational cost makes them very slow for many realistic size problems. We present a pilot service, named WebStoch, developed in the context of our StochSoCs research project, allowing life scientists with no high-performance computing expertise to perform over the internet stochastic simulations of large-scale biological network models described in the SBML standard format. Biomodels submitted to the service are parsed automatically and then placed for parallel execution on distributed worker nodes. The workers are implemented using multi-core and many-core processors, or FPGA accelerators that can handle the simulation of thousands of stochastic repetitions of complex biomodels, with possibly thousands of reactions and interacting species. Using benchmark LCSE biomodels, whose workload can be scaled on demand, we demonstrate linear speedup and more than two orders of magnitude higher throughput than existing serial simulators.","PeriodicalId":115758,"journal":{"name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116371169","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: 2

Location and Mobility Aware Resource Management for 5G Cloud Radio Access Networks 5G云无线接入网络的位置和移动性感知资源管理

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.35

Uladzimir Karneyenka, Khushbu Mohta, M. Moh

{"title":"Location and Mobility Aware Resource Management for 5G Cloud Radio Access Networks","authors":"Uladzimir Karneyenka, Khushbu Mohta, M. Moh","doi":"10.1109/HPCS.2017.35","DOIUrl":"https://doi.org/10.1109/HPCS.2017.35","url":null,"abstract":"Cloud Radio Access Network (C-RAN) has recently gained much attention for 5G and Long Term Evolution — Advanced (LTE-A) cellular networks. The recent technology advancement in network virtualization function and software defined radio has enabled virtualization of Baseband Units (BBU) and sharing of underlying general purpose processing infrastructure. All these advancements have made C-RAN feasible and practical. This paper proposes new algorithms for clustering towers based on location and for packing BBU clusters based on the prediction of mobility and traffic patterns and analyzes their complexities. Unlike existing C-RAN studies that compared their performance with that of traditional distributed RAN methods, we evaluate and compare the performance with that of existing C-RAN strategies, based on real cellular tower maps provided by the FCC. The proposed combined clustering and packing algorithms have achieved up to 34.8% better QoS while using only up to 5.8% most towers and 7.4% most hosts than other methods. We believe that the proposed combination of clustering and packing algorithms for C-RAN would be significant for the success of emerging 5G networks.","PeriodicalId":115758,"journal":{"name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128025273","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: 30

An Efficient Hardware Implementation of TimSort and MergeSort Algorithms Using High Level Synthesis 基于高级综合的时间排序和归并排序算法的高效硬件实现

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.92

Yomna Ben Jmaa, Karim M. A. Ali, D. Duvivier, M. B. Jemaa, R. B. Atitallah

引用次数: 5

Algorithmic Quantification of Skull Bone Density 颅骨骨密度的算法量化

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.119

V. Zeljkovic, C. Tameze, I. Vucenik, J. Stains, C. Druzgalski, P. Mayorga

引用次数: 1

An Hierarchical Labeling Technique for Interactive Computation of Watersheds 流域交互计算的分层标注技术

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.24

K. Bourgeois, S. Robert, Sébastien Limet, V. Essayan

引用次数: 1

SOPJ: A Scalable Online Provenance Join for Data Integration SOPJ:用于数据集成的可伸缩在线来源连接

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI: 10.1109/HPCS.2017.23

Song Zhu, G. Fiameni, Giovanni Simonini, S. Bergamaschi

引用次数: 5