2014 First Workshop on Visual Performance Analysis最新文献

Visualization of Performance Data for MPI Applications Using Circular Hierarchies 使用循环层次结构的MPI应用程序性能数据可视化

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.5

Felix Schmitt, R. Dietrich, R. Kuß, J. Doleschal, A. Knüpfer

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引用次数: 6

Discovering Barriers to Efficient Execution, Both Obvious and Subtle, Using Instruction-Level Visualization 使用教学级可视化发现有效执行的障碍，无论是明显的还是微妙的

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.11

David M. Koppelman, C. J. Michael

引用次数: 2

CommGram: A New Visual Analytics Tool for Large Communication Trace Data CommGram:用于大型通信跟踪数据的新的可视化分析工具

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.8

Jieting Wu, Jianping Zeng, Hongfeng Yu, J. Kenny

引用次数: 6

Down to Earth - How to Visualize Traffic on High-dimensional Torus Networks 脚踏实地-如何在高维环面网络上可视化流量

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.6

Lucas Theisen, A. Shah, F. Wolf

{"title":"Down to Earth - How to Visualize Traffic on High-dimensional Torus Networks","authors":"Lucas Theisen, A. Shah, F. Wolf","doi":"10.1109/VPA.2014.6","DOIUrl":"https://doi.org/10.1109/VPA.2014.6","url":null,"abstract":"High-dimensional torus networks are becoming common in flagship HPC systems, with five of the top ten systems in June 2014 having networks with more than three dimensions. Although such networks combine performance with scalability at reasonable cost, the challenge of how to achieve optimal performance remains. Tools are needed to help understand how well the traffic is distributed among the many dimensions. This involves not only capturing network traffic but also its comprehensible visualization. However, visualizing such networks requires projecting multiple dimensions onto a two-dimensional screen, which is naturally challenging. To tackle this problem, in this position paper, we propose a visualization technique which can display traffic on torus networks with up to six dimensions. Our fundamental approach is to simultaneously present multiple views of the same network section, with each view visualizing different dimensions. Furthermore, we leverage the multiple-coordinate system concept and combine it with a customized polygon view to provide both a global and a zoomed-in perspective of the network. By interactively linking all the views, our technique makes it possible to analyze how the communication pattern of an application is mapped onto a network.","PeriodicalId":160141,"journal":{"name":"2014 First Workshop on Visual Performance Analysis","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131559648","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: 10

TorusVis^ND: Unraveling High-Dimensional Torus Networks for Network Traffic Visualizations TorusVis^ND:用于网络流量可视化的高维环面网络

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.7

Shenghui Cheng, Pradipta De, S. Jiang, K. Mueller

引用次数: 16

Visualizing the Five-dimensional Torus Network of the IBM Blue Gene/Q IBM蓝色基因/Q的五维环面网络可视化

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.10

Collin M. McCarthy, Katherine E. Isaacs, A. Bhatele, P. Bremer, B. Hamann

引用次数: 17

Linking Performance Data into Scientific Visualization Tools 链接性能数据到科学可视化工具

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.9

K. Huck, Kristin C. Potter, D. Jacobsen, H. Childs, A. Malony

{"title":"Linking Performance Data into Scientific Visualization Tools","authors":"K. Huck, Kristin C. Potter, D. Jacobsen, H. Childs, A. Malony","doi":"10.1109/VPA.2014.9","DOIUrl":"https://doi.org/10.1109/VPA.2014.9","url":null,"abstract":"Understanding the performance of program execution is essential when optimizing simulations run on high-performance supercomputers. Instrumenting and profiling codes is itself a difficult task and interpreting the resulting complex data is often facilitated through visualization of the gathered measures. However, these measures typically ignore spatial information specific to a simulation, which may contain useful knowledge on program behavior. Linking the instrumentation data to the visualization of performance within a spatial context is not straightforward as information needed to create the visualizations is not, by default, included in data collection, and the typical visualization approaches do not address spatial concerns. In this work, we present an approach that links the collection of spatially-aware performance data to a visualization paradigm through both analysis and visualization abstractions to facilitate better understanding of performance in the spatial context of the simulation. Because the potential costs for such a system are quite high, we leverage existing performance profiling and visualization systems and demonstrate their combined potential on climate simulation.","PeriodicalId":160141,"journal":{"name":"2014 First Workshop on Visual Performance Analysis","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116109253","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: 10

Visualization of Memory Access Behavior on Hierarchical NUMA Architectures 分层NUMA体系结构上内存访问行为的可视化

2014 First Workshop on Visual Performance Analysis Pub Date : 2014-11-16 DOI: 10.1109/VPA.2014.12

B. Weyers, C. Terboven, Dirk Schmidl, Joachim Herber, T. Kuhlen, Matthias S. Müller, B. Hentschel

引用次数: 13