2015 International Conference on High Performance Computing & Simulation (HPCS)最新文献_第7页

GRT angle migration a 5D data mapping problem GRT角度偏移的5D数据映射问题

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237095

D. Merten, N. Ettrich

引用次数: 1

Advanced commands and distributed data layout to enhance the SSD internal parallelism 高级命令和分布式数据布局，增强SSD内部并行性

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237033

S. Zertal

{"title":"Advanced commands and distributed data layout to enhance the SSD internal parallelism","authors":"S. Zertal","doi":"10.1109/HPCSim.2015.7237033","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237033","url":null,"abstract":"SSDs have been widely deployed in different areas and become competitive storage devices even for data-intensive applications. They have important performance and endurance requirements and their internal features provide a real potential to fulfil them. The multiple and independent SSD internal components allow parallel access to data at each of the four levels (package-chip-die-plane) but it relies completely on the data layout scheme. We proposed a data layout algorithm based only on the SSD basic operations. It distributes data up to the lowest level to exploit the fine grain internal parallelism and improves the SSD performance. In this paper, we also use advanced commands available on newer SSDs and request scheduling in combination with data layout scheme to provide up to the planes parallelism, taking into account both performance and endurance. The result is a new data layout algorithn to exploit the fine grain SSD internal parallelism. It respects the rules imposed by the wise use of advanced commands and the recommandations of maintaining a wide data distribution. The results show an improvement of performance and a Write Amplification (WA) factor very close to the one using basic operations which indicates a preserved endurance.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"17 1 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":"125787441","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

Twinned buffering: A simple and highly effective scheme for parallelization of Successive Over-Relaxation on GPUs and other accelerators 双缓冲:在gpu和其他加速器上并行化连续过度松弛的一种简单而高效的方案

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237073

W. Vanderbauwhede, T. Takemi

引用次数: 5

Multi-Agent modeling for match-making using BDI architecture 基于BDI体系结构的多智能体匹配建模

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237061

M. Sajjad, Karandeep Singh, Chang-Won Ahn

引用次数: 3

Science gateways - leveraging modeling and simulations in HPC infrastructures via increased usability 科学网关——通过提高可用性来利用HPC基础设施中的建模和仿真

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237017

S. Gesing, R. Dooley, M. Pierce, Jens Krüger, Richard Grunzke, S. Herres‐Pawlis, A. Hoffmann

{"title":"Science gateways - leveraging modeling and simulations in HPC infrastructures via increased usability","authors":"S. Gesing, R. Dooley, M. Pierce, Jens Krüger, Richard Grunzke, S. Herres‐Pawlis, A. Hoffmann","doi":"10.1109/HPCSim.2015.7237017","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237017","url":null,"abstract":"Modeling and simulations, which necessitate HPC infrastructures, are often based on complex scientific theories and involve interdisciplinary research teams. IT specialists support with the efficient access to HPC infrastructures. They design, implement and configure the simulations and models reflecting the sophisticated theoretical models and approaches developed and applied by domain researchers. Roles in such interdisciplinary teams may overlap dependent on the knowledge and experience with computational resources and/or the research domain. Bioinformaticians, for example, are in general trained to act as IT specialists, while having also a good knowledge about biology and chemistry to support the user community competently. Domain researchers are mainly not IT specialists and the requirement to employ HPC infrastructures via command line often forms a huge hurdle for them. Thus, there is the need to increase the usability of simulations and models on HPC infrastructures for the uptake by the user community. Science gateways form a solution, which offer a graphical user interface tailored to a specific research domain with a single point of entry for job and data management hiding the underlying infrastructure. In the last 10 years quite a few web development frameworks, science gateway frameworks and APIs with different foci and strengths have evolved to support the developers of science gateways in implementing an intuitive solution for a target research domain. The selection of a suitable technology for a specific use case is essential and helps reducing the effort in implementing the science gateway by re-using existing software or frameworks. Thus, a solution for a user community can be provided more efficiently. This paper goes into detail for science gateway concepts as well as information resources, gives examples for successful technologies and proposes criteria for choosing a technology for a use case.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"127 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":"116323141","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: 5

Cookery: A framework for developing cloud applications Cookery:用于开发云应用程序的框架

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237105

Mikolaj Baranowski, A. Belloum, M. Bubak

引用次数: 2

ESub: Mining and exploring substructures in knowledge-intensive processes ESub:在知识密集型过程中挖掘和探索子结构

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237057

C. Diamantini, Laura Genga, D. Potena

{"title":"ESub: Mining and exploring substructures in knowledge-intensive processes","authors":"C. Diamantini, Laura Genga, D. Potena","doi":"10.1109/HPCSim.2015.7237057","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237057","url":null,"abstract":"Process Mining (PM) encompasses a number of methodologies designed for extracting knowledge from event logs, typically recorded by operational information systems like ERPs, Workflow Management Systems or other process-aware enterprise systems. The structured nature of processes implemented in these systems has led to the development of effective techniques for conformance checking (check if a real execution trace conforms to a predefined process schema) or process discovery (synthesize a process schema from a set of real execution traces recorded in the trace log) [1]. However in many knowledge-intensive domains, like e.g. health care, emergency management, research and innovation development, processes are typically characterized by little or no structure, since the flow of activities strongly depends on context-dependent decisions that should rely on human knowledge. Consequently, classical process discovery techniques usually provide limited support in analyzing these processes. As a further issue, in these domains an integrated information system may not even exist, requiring to integrate a number of independent event logs.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"153 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":"123284004","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

Experiments in fair scheduling in 4G WiMAX and LTE 4G WiMAX和LTE的公平调度实验

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237050

J. Zubairi, E. Erdogan, Shaun Reich

{"title":"Experiments in fair scheduling in 4G WiMAX and LTE","authors":"J. Zubairi, E. Erdogan, Shaun Reich","doi":"10.1109/HPCSim.2015.7237050","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237050","url":null,"abstract":"LTE and WiMAX are broadband wireless technologies recognized as 4G. Both technologies support various multimedia applications such as voice over Internet protocol (VoIP), video conferencing and online gaming. In general, the network applications have diverse requirements to be satisfied including Quality of Service (QoS). Therefore, effective scheduling is critical for overall performance of 4G systems. Many traffic scheduling algorithms are available for wireless networks, e.g. Weighted Fair Queuing (WFQ), Earliest Deadline First (EDF) and Weighted Round Robin (WRR). In this work, an analysis of various scheduling algorithms in 4G networks based on QoS criteria is carried out. The WiMAX hybrid scheduling algorithm (EDF + WFQ + FIFO) provides strict priority to QoS traffic over BE subscriber requests. This may cause starvation when the concentration of nrtPS and BE is high. We have experimented with a modified hybrid algorithm (MOHSA) to provide a more equitable scheduling. Similarly, LTE has time domain QoS scheduling in GBR (1,2) and non-GBR (3,4 and 5) classes. We have implemented a variant of MOHSA in TD scheduler of LTE to ensure fairness. Results indicate a fair allocation of bandwidth and starvation avoidance for BE traffic.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"11 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":"124916934","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: 13

Improving tourist experience by Big Data tools 利用大数据工具提升旅游体验

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237089

Nunzio Cassavia, Pietro Dicosta, E. Masciari, D. Saccá

引用次数: 5

Gossip-based spectral clustering of distributed data streams 基于gossip的分布式数据流光谱聚类

2015 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2015-07-20 DOI: 10.1109/HPCSim.2015.7237058

Matt Talistu, Teng-Sheng Moh, M. Moh

{"title":"Gossip-based spectral clustering of distributed data streams","authors":"Matt Talistu, Teng-Sheng Moh, M. Moh","doi":"10.1109/HPCSim.2015.7237058","DOIUrl":"https://doi.org/10.1109/HPCSim.2015.7237058","url":null,"abstract":"With the growth of the Internet, social networks, and other distributed systems, there is an abundance of data about user transactions, network traffic, social interactions, and other areas that is available for analysis. Extracting knowledge from this data has become a growing field of research recently, especially as the size of the data makes traditional data mining methods ineffective. Some approaches assume the data is at a central location or a complete set of data is available for analysis. However, many modern-day applications consume distributed data streams. The dataset is spread across multiple locations and each location only has access to a portion of the data stream. We propose a distributed data stream analysis method, which uses hierarchical clustering for local online summary, a gossip protocol for distributing these summaries, and spectral clustering for offline analysis. The resulting solution successfully avoids the heavy computation and communication capability requirements of a centralized approach. Through experiments, we have demonstrated that the proposed solution is able to accurately cluster the data streams and is highly scalable. Its quality significantly increases as the number of microcluster increases, yet it is fault-tolerant when this number is small. Finally, it has achieved a similar level of accuracy when compared with a centralized approach.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"9 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":"121996103","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: 3