检索结果-内蒙古大学图书馆

30th ieee International parallel and Distributed Processing symposium (IPDPS)

作者： Stone, John E. Messmer, Peter Sisneros, Robert Schulten, Klaus Univ Illinois Beckman Inst Urbana IL 61801 USA NVIDIA Dev Technol Grp Zurich Switzerland Univ Illinois Natl Ctr Supercomp Applicat Urbana IL USA Univ Illinois Dept Phys Urbana IL USA

ISBN: (纸本)9781509036820

Large scale molecular dynamics simulations produce terabytes of data that is impractical to transfer to remote facilities. It is therefore necessary to perform visualization tasks in-situ as the data are generated, or by running interactive remote visualization sessions and batch analyses co-located with direct access to high performance storage systems. A significant challenge for deploying visualization software within clouds, clusters, and supercomputers involves the operating system software required to initialize and manage graphics acceleration hardware. Recently, it has become possible for applications to use the Embedded-system graphics Library (EGL) to eliminate the requirement for windowing system software on compute nodes, thereby eliminating a significant obstacle to broader use of high performance visualization applications. We outline the potential benefits of this approach in the context of visualization applications used in the cloud, on commodity clusters, and supercomputers. We discuss the implementation of EGL support in VMD, a widely used molecular visualization application, and we outline benefits of the approach for molecular visualization tasks on petascale computers, clouds, and remote visualization servers. We then provide a brief evaluation of the use of EGL in VMD, with tests using developmental graphics drivers on conventional workstations and on Amazon EC2 G2 GPU-accelerated cloud instance types. We expect that the techniques described here will be of broad benefit to many other visualization applications.

关键词： in-situ visualization remote visualization parallel rendering molecular visualization

来源：评论

学校读者我要写书评

暂无评论

parallel Distributed, GPU-Accelerated, Advanced Lighting Calculations for Large-Scale Volume visualization 6

Parallel Distributed, GPU-Accelerated, Advanced Lighting Cal...

引用

6th ieee symposium on Large Data Analysis and visualization (LDAV)

作者： Shih, Min Vishwanath, Venkatram Rizzi, Silvio Hereld, Mark Insley, Joseph Papka, Michael E. Uram, Thomas Ma, Kwan-Liu Univ Calif Davis Davis CA 95616 USA Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ Argonne Natl Lab De Kalb IL 60115 USA

ISBN: (纸本)9781509056590

The benefits of applying advanced illumination models to volume visualization have been demonstrated by many researchers. For a parallel distributed, GPU computing environment, however, there is no efficient algorithm for scalable global illumination calculations. This paper presents a parallel, data-distributed and GPU-accelerated algorithm for volume rendering with advanced lighting. Our approach features tunable soft shadows for enhancing perception of complex spatial structures and relationships. For lighting calculations, our design effectively avoids data exchange among GPUs. Performance evaluation on a GPU cluster using up to 128 GPUs shows scalable rendering performance, with both the number of GPUs and volume data size.

关键词： Lighting Rendering (computer graphics) Scattering Computational modeling graphics processing units Light sources Acceleration Lighting LIGHT SOURCES graphics Processing Unit Computational modeling acceleration Scattering arithmetic visualization parallel Lines efficient algorithm

来源：评论

学校读者我要写书评

暂无评论

Optimizing Multi-Image Sort-Last parallel Rendering 6

Optimizing Multi-Image Sort-Last Parallel Rendering

引用

6th ieee symposium on Large Data Analysis and visualization (LDAV)

作者： Larsen, Matthew Moreland, Kenneth Johnson, Chris R. Childs, Hank Univ Oregon Lawrence Livermore Natl Lab Eugene OR 97403 USA Sandia Natl Labs Livermore CA 94550 USA Univ Utah Salt Lake City UT 84112 USA

ISBN: (纸本)9781509056590

Sort-last parallel rendering can be improved by considering the rendering of multiple images at a time. Most parallel rendering algorithms consider the generation of only a single image. This makes sense when performing interactive rendering where the parameters of each rendering are not known until the previous rendering completes. However, in situ visualization often generates multiple images that do not need to be created sequentially. In this paper we present a simple and effective approach to improving parallel image generation throughput by amortizing the load and overhead among multiple image renders. Additionally, we validate our approach by conducting a performance study exploring the achievable speed-ups in a variety of image-based in situ use cases and rendering workloads. On average, our approach shows a 1.5 to 3.7 fold improvement in performance, and in some cases, shows a 10 fold improvement.

关键词： I.3.6 [Computer graphics]: General I.3.2 [Computer graphics]: graphics Systems-Distributed/network graphics

来源：评论

学校读者我要写书评

暂无评论

Seeing Multithreaded Behavior Using TSGL 30

Seeing Multithreaded Behavior Using TSGL

引用

30th ieee International parallel and Distributed Processing symposium (IPDPS)

作者： Adams, Joel C. Crain, Patrick A. Dilley, Christopher P. Calvin Coll Dept Comp Sci Grand Rapids MI 49506 USA

ISBN: (纸本)9781509036820

Since multicore processors are now the architectural standard and parallel computing is in the core CS curriculum, educators must create pedagogical materials and tools to help students master parallel abstractions and concepts. This paper describes the thread safe graphics library (TSGL), a tool by which an educator can add graphics calls to a working multithreaded program in order to make visible the underlying parallel behavior. Using TSGL, an instructor (or student) can create parallel visualizations that clearly show the parallel patterns or techniques that a given program is using, allowing students to see the parallel behavior in near real-time as the program is running. TSGL includes many examples that illustrate its use;this paper presents a representative sample that can be used, either in a lecture or a self-paced lab format.

关键词： science education graphics library multicore multithreading parallel thread safe threads visualization

来源：评论

学校读者我要写书评

暂无评论

Live Demonstration: Run-time visualization of Kvazaar HEVC Intra Encoder

Live Demonstration: Run-time Visualization of Kvazaar HEVC I...

引用

ieee International symposium on Circuits and Systems (ISCAS)

作者： Viitanen, Marko Koivula, Ari Vanne, Jarno Hamalainen, Timo D. Tampere Univ Technol Dept Pervas Comp FIN-33101 Tampere Finland

ISBN: (纸本)9781479953417

This demonstrator presents a run-time visualization tool for Kvazaar HEVC intra encoder. The implemented open-source tool is seamlessly integrated into Kvazaar to provide instant visual feedback of the encoding process. The visualization overlays the reconstructed HEVC video with the boundaries of the used block partitioning structure and associated intra prediction modes. The tool is also able to illustrate all Kvazaar parallelization schemes at run time: Wavefront parallel Processing, tiles, and picture-level parallel processing. The displayed visualization information can be gradually adjusted to user needs. The tool is primarily designed for Kvazaar debugging but it also suits educational purposes.

关键词： High Efficiency Video Coding (HEVC) Kvazaar HEVC encoder Intra prediction modes Block partitioning structure visualization

来源：评论

学校读者我要写书评

暂无评论

Visual Analysis of Cloud Computing Performance Using Behavioral Lines

引用

ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2016年第6期22卷 1694-1704页

作者： Muelder, Chris Zhu, Biao Chen, Wei Zhang, Hongxin Ma, Kwan-Liu Univ Calif Davis Dept Comp Sci Davis CA 95616 USA Zhejiang Univ State Key Lab CAD&CG Hangzhou 310058 Zhejiang Peoples R China

Cloud computing is an essential technology to Big Data analytics and services. A cloud computing system is often comprised of a large number of parallel computing and storage devices. Monitoring the usage and performance of such a system is important for efficient operations, maintenance, and security. Tracing every application on a large cloud system is untenable due to scale and privacy issues. But profile data can be collected relatively efficiently by regularly sampling the state of the system, including properties such as CPU load, memory usage, network usage, and others, creating a set of multivariate time series for each system. Adequate tools for studying such large-scale, multidimensional data are lacking. In this paper, we present a visual based analysis approach to understanding and analyzing the performance and behavior of cloud computing systems. Our design is based on similarity measures and a layout method to portray the behavior of each compute node over time. When visualizing a large number of behavioral lines together, distinct patterns often appear suggesting particular types of performance bottleneck. The resulting system provides multiple linked views, which allow the user to interactively explore the data by examining the data or a selected subset at different levels of detail. Our case studies, which use datasets collected from two different cloud systems, show that this visual based approach is effective in identifying trends and anomalies of the systems.

关键词： Cloud computing multidimensional data performance visualization visual analytics

来源：评论

学校读者我要写书评

暂无评论

ieee symposium on Large Data Analysis and visualization 2016, LDAV 2016 - Proceedings

IEEE Symposium on Large Data Analysis and Visualization 2016...

引用

6th ieee symposium on Large-Scale Data Analysis and visualization, LDAV 2016

ISBN: (纸本)9781509056590

The proceedings contain 18 papers. The topics discussed include: embedded domain-specific language and runtime system for progressive spatiotemporal data analysis and visualization;SeekAView: an intelligent dimensionality reduction strategy for navigating high-dim data spaces;quantitative exploration of large medieval manuscripts data for the codicological research;parallel distributed, GPU-accelerated, advanced lighting calculations for large-scale volume visualization;interactive visual exploration of a trillion particles;in situ generated probability distribution functions for interactive post hoc visualization and analysis;parallel peak pruning for scalable SMP contour tree computation;topology-aware image compositing using NVLink;scalable rendering of large SPH simulations using an RK-enhanced interpolation scheme on constrained datasets;segmented time series visualization tool for additive manufacturing;a lightweight H.264-based hardware accelerated image compression library;statistical projections for multi-dimensional visual data exploration;formal evaluation strategies for feature tracking;and correlating sub-phenomena in performance data in the frequency domain.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An integrated visualization system for interactive analysis of large, heterogeneous cosmology data 9

An integrated visualization system for interactive analysis ...

引用

9th ieee Pacific visualization symposium, PacificVis 2016

作者： Preston, Annie Ghods, Ramyar Xie, Jinrong Sauer, Franz Leaf, Nick Ma, Kwan-Liu Rangel, Esteban Kovacs, Eve Heitmann, Katrin Habib, Salman University of California at Davis United States Northwestern University United States Argonne National Laboratory United States

ISBN: (纸本)9781509014514

Cosmological simulations produce a multitude of data types whose large scale makes them difficult to thoroughly explore in an interactive setting. One aspect of particular interest to scientists is the evolution of groups of dark matter particles, or "halos," described by merger trees. However, in order to fully understand subtleties in the merger trees, other data types derived from the simulation must be incorporated as well. In this work, we develop a novel interactive linked-view visualization system that focuses on simultaneously exploring dark matter halos, their hierarchical evolution, corresponding particle data, and other quantitative information. We employ a parallel remote renderer and a local merger tree selection tool so that users can analyze large data sets interactively. This allows scientists to assess their simulation code, understand inconsistencies in extracted data, and intuitively understand simulation behavior on all scales. We demonstrate the effectiveness of our system through a set of case studies on large-scale cosmological data from the HACC (Hardware/Hybrid Accelerated Cosmology Code) simulation framework. © 2016 ieee.

关键词： Cosmology

来源：评论

学校读者我要写书评

暂无评论

Coupling LAMMPS and the vl3 Framework for Co-visualization of Atomistic Simulations

Coupling LAMMPS and the vl3 Framework for Co-Visualization o...

引用

ieee International symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Silvio Rizzi Mark Hereld Joseph Insley Preeti Malakar Michael E. Papka Thomas Uram Venkatram Vishwanath Argonne National Laboratory

ISBN: (纸本)9781509036837

In this work we perform in-situ visualization of molecular dynamics simulations, which can help scientists to visualize simulation output on-the-fly, without incurring storage overheads. We present a case study to couple LAMMPS, the large-scale molecular dynamics simulation code with vl3, our parallel framework for large-scale visualization and analysis. Our motivation is to identify effective approaches for co-visualization and exploration of large-scale atomistic simulations at interactive frame rates. We propose a system of coupled libraries and describe its architecture, with an implementation that runs on GPU-based clusters. We present the results of strong and weak scalability experiments, as well as future research avenues based on our results.

关键词： Rendering (computer graphics) visualization Scalability Libraries Data visualization Protocols graphics processing units

来源：评论

学校读者我要写书评

暂无评论

High Performance Molecular visualization: In-Situ and parallel Rendering with EGL

High Performance Molecular Visualization: In-Situ and Parall...

引用

ieee International symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： John E. Stone Peter Messmer Robert Sisneros Klaus Schulten Beckman Institute University of Illinois at Urbana-Champaign Urbana IL Developer Technology Group NVIDIA Zurich Switzerland National Center for Supercomputing Applications University of Illinois at Urbana-Champaign Urbana IL Department of Physics University of Illinois at Urbana-Champaign Urbana IL

ISBN: (纸本)9781509036837

关键词： Data visualization Software Servers Rendering (computer graphics) Supercomputers Libraries

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：