2015 International Conference on High Performance Computing & Simulation (HPCS)最新文献_第3页

On the fly reconfiguration of interactive scientific visualization applications 交互式科学可视化应用程序的动态重构

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237078

Abderrahim Ait Wakrime, Sébastien Limet, S. Robert

{"title":"On the fly reconfiguration of interactive scientific visualization applications","authors":"Abderrahim Ait Wakrime, Sébastien Limet, S. Robert","doi":"10.1109/HPCSim.2015.7237078","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237078","url":null,"abstract":"An interactive scientific visualization application is constructed from different codes to implement simulation, data treatment, visualization and interaction parts. The application construction requires support for the assembly of the different parts considering their heterogeneity in the one hand and the need to achieve an efficient application to be run in real time on the other hand. Component-based approach is an interesting paradigm to handle such applications. Moreover in a context of visual analytics, some applications need to be dynamically reconfigured since some components as analysis steps are not persistent and need to be restarted or stopped on the fly. This paper describes a reconfiguration process for ComSA applications, a component based approach dedicated to interactive scientific visualization applications that relies on an exogenous coordination model. This process enables the reconfiguration of running applications. It aims to minimize the number of stopped components during the reconfiguration phase while avoiding the application to crash. It uses the properties of the coordination model to circumscribe the part of the application impacted by the reconfiguration. This region is safely paused, then modified and finally restarted.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127838435","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

Wireless Power transfer system modelling based on neural Network with adaptive filtering 基于神经网络自适应滤波的无线电力传输系统建模

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237054

Karim Elsayed, Nesrine Amin Elessawy, A. El-Shenawy

引用次数: 2

Current challenges in simulations of HPC systems 当前HPC系统仿真的挑战

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237110

S. Petit

引用次数: 0

Comparison of hexagonal and rectangular processor arrays 六边形和矩形处理器阵列的比较

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237064

E. Kresch

引用次数: 1

A security framework for population-scale genomics analysis 群体规模基因组学分析的安全框架

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237028

A. Gholami, J. Dowling, E. Laure

{"title":"A security framework for population-scale genomics analysis","authors":"A. Gholami, J. Dowling, E. Laure","doi":"10.1109/HPCSim.2015.7237028","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237028","url":null,"abstract":"Biobanks store genomic material from identifiable individuals. Recently many population-based studies have started sequencing genomic data from biobank samples and cross-linking the genomic data with clinical data, with the goal of discovering new insights into disease and clinical treatments. However, the use of genomic data for research has far-reaching implications for privacy and the relations between individuals and society. In some jurisdictions, primarily in Europe, new laws are being or have been introduced to legislate for the protection of sensitive data relating to individuals, and biobank-specific laws have even been designed to legislate for the handling of genomic data and the clear definition of roles and responsibilities for the owners and processors of genomic data. This paper considers the security questions raised by these developments. We introduce a new threat model that enables the design of cloud-based systems for handling genomic data according to privacy legislation. We also describe the design and implementation of a security framework using our threat model for BiobankCloud, a platform that supports the secure storage and processing of genomic data in cloud computing environments.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114285961","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: 9

Performance analysis with a memory-bound Monte Carlo simulation on Xeon Phi 在Xeon Phi处理器上使用内存绑定蒙特卡罗模拟进行性能分析

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237074

Pierre Schweitzer, C. Mazel, D. Hill, C. Cârloganu

引用次数: 1

Performance analysis of the COSMO-CLM model cosmos - clm模型的性能分析

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237096

S. Mocavero, A. Nigro, Arianna Resta, C. Rosato, Giacomo Sciolti, I. Epicoco, G. Aloisio

{"title":"Performance analysis of the COSMO-CLM model","authors":"S. Mocavero, A. Nigro, Arianna Resta, C. Rosato, Giacomo Sciolti, I. Epicoco, G. Aloisio","doi":"10.1109/HPCSim.2015.7237096","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237096","url":null,"abstract":"COSMO-CLM is a non-hydrostatic parallel atmospheric model, developed by the CLM-Community starting from the Local Model (LM) of the German Weather Service. Since 2005, it is the reference model used by the german researchers for the climate studies on different temporal scales (from few to hundreds of years) with a spatial resolution from 1 up to 50 kilometers. It is also used and developed from other meteorological research centres belonging to the Consortium for Small-scale Modelling (COSMO). The present work is focused on the analysis of the CCLM model from the computational point of view. The main goal is to verify if the model can be optimised by means of an appropriate tuning of the input parameters, to identify the performance bottlenecks and to suggest possible approaches for a further code optimisation. We started analysing if the strong scalability (which measures the improvement factor due to the parallelism given a fixed domain size) can be improved acting on some parameters such as the subdomain shape, the number of processes dedicated to the I/O operations, the output frequency and the communication strategies. Then we profiled the code to highlight the bottlenecks to the scalability and finally we performed a detailed performance analysis of the main kernels using the roofline model.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089438","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

A fuzzy logic controlled mobility model based on simulated traffics' characteristics in MANET 基于仿真交通特性的模糊逻辑控制机动网络模型

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237051

Chen Chen, Qingqi Pei

{"title":"A fuzzy logic controlled mobility model based on simulated traffics' characteristics in MANET","authors":"Chen Chen, Qingqi Pei","doi":"10.1109/HPCSim.2015.7237051","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237051","url":null,"abstract":"In this paper, we investigate the self-similarity characteristic of MANET(Mobile Ad-hoc NETworks) traffics through simulations and then construct a fuzzy logic controlled mobility model according to the traffic feature to optimize the network performance. First, based on the generated traffics using OPNET, the self-similarity of MANET traffics has been verified with a qualitative analysis. Then, by exploring the relation between the self-similarity indicator, i.e., Hurst and some network performance metrics, such as Packets Delivery Ratio(PDR), Average Transmission Delay(ATD) and nodal Average Moving Speed(AMS), a fuzzy logic controller is designed to make the mobility model adaptively work in order to output satisfied performance. By online estimating the self-similarity of incoming traffics using R/S analysis, the Packet Size(PS) and AMS of each vehicle could be intelligently adjusted to maximize the PDR and minimize the experienced ATD. Numerical results indicate that our proposed mobility model, compared to the classic mobility model RWP(Random WayPoint), has a better performance in terms of PDR and ATD.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134541778","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

Acceleration of dRMSD calculation and efficient usage of GPU caches dRMSD计算的加速和GPU缓存的有效使用

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237020

J. Filipovič, Jan Plhak, D. Střelák

引用次数: 0

A new reality requiers new ecosystems 新的现实需要新的生态系统

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237115

S. Klous

引用次数: 0