Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization最新文献

In Situ Workflows at Exascale: System Software to the Rescue Exascale的现场工作流程:系统软件的救援

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144774

Matthieu Dreher, Swann Perarnau, T. Peterka, K. Iskra, P. Beckman

{"title":"In Situ Workflows at Exascale: System Software to the Rescue","authors":"Matthieu Dreher, Swann Perarnau, T. Peterka, K. Iskra, P. Beckman","doi":"10.1145/3144769.3144774","DOIUrl":"https://doi.org/10.1145/3144769.3144774","url":null,"abstract":"Implementing an in situ workflow involves several challenges related to data placement, task scheduling, efficient communications, scalability, and reliability. Most of the current implementations provide reasonably performant solutions to these issues by focusing on high-performance communications and low-overhead execution models at the cost of reliability and flexibility. One of the key design choices in such infrastructures is between providing a single-program, integrated environment or a multiple-program, connected environment, both solutions having their own strengths and weaknesses. While these approaches might be appropriate for current production systems, the expected characteristics of exascale machines will shift current priorities. After a survey of the trade-offs and challenges of integrated and connected in situ workflow solutions available today, we discuss in this paper how exascale systems will impact those designs. In particular, we identify missing features of current system-level software required for the evolution of in situ workflows toward exascale and how system software innovations from the Argo Exascale Computing Project can help address those challenges.","PeriodicalId":107517,"journal":{"name":"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124677212","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

In Situ Summarization with VTK-m 用VTK-m进行原位总结

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144777

D. Thompson, S. Jourdain, A. Bauer, Berk Geveci, Robert Maynard, Ranga Raju Vatsavai, P. O’leary

引用次数: 3

In situ visualization with task-based parallelism 基于任务并行的现场可视化

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144771

A. Heirich, Elliott Slaughter, Manolis Papadakis, Wonchan Lee, T. Biedert, A. Aiken

引用次数: 8

In Situ Visualization of Radiation Transport Geometry 辐射输运几何的原位可视化

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144770

Mark Kim, Tom J. Evans, S. Klasky, D. Pugmire

{"title":"In Situ Visualization of Radiation Transport Geometry","authors":"Mark Kim, Tom J. Evans, S. Klasky, D. Pugmire","doi":"10.1145/3144769.3144770","DOIUrl":"https://doi.org/10.1145/3144769.3144770","url":null,"abstract":"The ultimate goal for radiation transport is to perform full-core reactor modelling and simulation. Advances in computational simulation bring this goal close to reality and the newest Monte Carlo transport codes have begun to shift to using accelerators that have become a stalwart in the supercomputing and HPC space. Within the reactor modelling and simulation community, Monte Carlo transport simulations are considered the gold standard for simulation. Through the use of \"combinatorial geometry\" (constructive solid geomtry), complex models can be used with fewer approximation compromises while at the same time scale to run on some of the largest supercomputers in the world. Unfortunately, the state-of-the-art for \"combinatorial geometry\" visualization is to decompose the geometry into a mesh. This approach could require a significant amount of memory which is antithetical to in situ visualization. To address this issue, we introduce a ray caster for visualizing combinatorial geometry in radiation transport code. By only using the accelerators for the radiation transport code and leaving the CPU cores idle, there is an opportunity to conduct on node in situ visualization with the idle CPU cores, something domain experts have up to this point been unable to do. By utilizing VTK-m, the visualization can be run on the CPU as this particular application demands, but also run on any architecture that is supported by VTK-m, enabling future re-use across different platforms.","PeriodicalId":107517,"journal":{"name":"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124262954","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: 1

Scalable In situ Analysis of Molecular Dynamics Simulations 分子动力学模拟的可扩展原位分析

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144772

Preeti Malakar, Christopher Knight, T. Munson, V. Vishwanath, M. Papka

引用次数: 6

The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman 高山原地基础设施:从斯特劳曼的灰烬中上升

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144778

Matthew Larsen, J. Ahrens, Utkarsh Ayachit, E. Brugger, H. Childs, Berk Geveci, C. Harrison

引用次数: 86

Cosmological Particle Data Compression in Practice 实践中的宇宙粒子数据压缩

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144776

Max Zeyen, J. Ahrens, H. Hagen, K. Heitmann, S. Habib

{"title":"Cosmological Particle Data Compression in Practice","authors":"Max Zeyen, J. Ahrens, H. Hagen, K. Heitmann, S. Habib","doi":"10.1145/3144769.3144776","DOIUrl":"https://doi.org/10.1145/3144769.3144776","url":null,"abstract":"In cosmological simulations, trillions of particles are handled and several terabytes of particle data are generated in each time step. Transferring this data directly from memory to disk in an uncompressed way results in a massive load on I/O and storage systems. Hence, one goal of domain scientists is to compress the data before storing it to disk while minimizing the loss of information. In this in situ scenario, the available time for the compression of one time step is limited. Therefore, the evaluation of compression techniques has shifted from only focusing on compression rates to including throughput and scalability. This study aims to evaluate and compare state-of-the-art compression techniques applied to particle data. For the investigated compression techniques, quantitative performance indicators such as compression rates, throughput, scalability, and reconstruction errors are measured. Based on these factors, this study offers a comprehensive analysis of the individual techniques and discusses their applicability for in situ compression. Based on this study, future challenges and directions in the compression of cosmological particle data are identified.","PeriodicalId":107517,"journal":{"name":"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125446838","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

A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis 一种新的基于分片的异步多任务模型原位分析方法

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144775

Philippe P. Pébaÿ, G. Borghesi, H. Kolla, Janine Bennett, Sean Treichler

引用次数: 1

Performance Impacts of In Situ Wavelet Compression on Scientific Simulations 原位小波压缩对科学模拟性能的影响

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 2017-11-12 DOI: 10.1145/3144769.3144773

Shaomeng Li, Matthew Larsen, J. Clyne, H. Childs

引用次数: 11

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization 现场基础设施实现极端尺度分析和可视化研究进展

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization Pub Date : 1900-01-01 DOI: 10.1145/3144769

引用次数: 0