2014 9th Workshop on Workflows in Support of Large-Scale Science最新文献

Workflow Management for Real-Time Analysis of Lightsource Experiments 光源实验实时分析的工作流管理

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.9

J. Deslippe, Abdelilah Essiari, S. Patton, T. Samak, C. Tull, A. Hexemer, G. Kumar, D. Parkinson, Polite Stewart

引用次数: 23

Workflows in a Dashboard: A New Generation of Usability 仪表板中的工作流:新一代的可用性

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.6

S. Gesing, M. Atkinson, Rosa Filgueira, I. Taylor, Andrew C. Jones, V. Stankovski, C. Liew, A. Spinuso, G. Terstyánszky, P. Kacsuk

引用次数: 18

Towards Workflow Ecosystems through Semantic and Standard Representations 通过语义和标准表示实现工作流生态系统

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.13

D. Garijo, Y. Gil, Óscar Corcho

{"title":"Towards Workflow Ecosystems through Semantic and Standard Representations","authors":"D. Garijo, Y. Gil, Óscar Corcho","doi":"10.1109/WORKS.2014.13","DOIUrl":"https://doi.org/10.1109/WORKS.2014.13","url":null,"abstract":"Workflows are increasingly used to manage and share scientific computations and methods. Workflow tools can be used to design, validate, execute and visualize scientific workflows and their execution results. Other tools manage workflow libraries or mine their contents. There has been a lot of recent work on workflow system integration as well as common workflow interlinguas, but the interoperability among workflow systems remains a challenge. Ideally, these tools would form a workflow ecosystem such that it should be possible to create a workflow with a tool, execute it with another, visualize it with another, and use yet another tool to mine a repository of such workflows or their executions. In this paper, we describe our approach to create a workflow ecosystem through the use of standard models for provenance (OPM and W3C PROV) and extensions (P-PLAN and OPMW) to represent workflows. The ecosystem integrates different workflow tools with diverse functions (workflow generation, execution, browsing, mining, and visualization) created by a variety of research groups. This is, to our knowledge, the first time that such a variety of workflow systems and functions are integrated.","PeriodicalId":206005,"journal":{"name":"2014 9th Workshop on Workflows in Support of Large-Scale Science","volume":"81 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":"129509620","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: 19

Combining Workflow Templates with a Shared Space-Based Execution Model 将工作流模板与基于空间的共享执行模型相结合

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.14

J. R. Balderrama, Matthieu Simonin, L. Ramakrishnan, V. Hendrix, C. Morin, D. Agarwal, Cédric Tedeschi

引用次数: 7

User-Oriented Partial Result Evaluation in Workflow-Based Science Gateways 基于工作流的科学网关中面向用户的部分结果评价

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.7

M. Jaghoori, Sarang Ramezani, S. Olabarriaga

引用次数: 3

Sensitivity Analysis for Time Dependent Problems: Optimal Checkpoint-Recompute HPC Workflows 时间相关问题的灵敏度分析:最优检查点-重新计算HPC工作流

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.15

V. Carey, H. Abbasi, I. Rodero, H. Kolla

{"title":"Sensitivity Analysis for Time Dependent Problems: Optimal Checkpoint-Recompute HPC Workflows","authors":"V. Carey, H. Abbasi, I. Rodero, H. Kolla","doi":"10.1109/WORKS.2014.15","DOIUrl":"https://doi.org/10.1109/WORKS.2014.15","url":null,"abstract":"Sensitivity analysis (SA) is a fundamental tool of uncertainty quantification(UQ). Adjoint-based SA is the optimal approach in many large-scale applications, such as the direct numerical simulation (DNS) of combustion. However, one of the challenges of the adjoint workflow for time-dependent applications is the storage and I/O requirements for the application state. During the time-reversal portion of the workflow, forward state is required in last-in-first-out order. The resulting requirements for storage at exascale are enormous. To mitigate this requirement, application state is regenerated from checkpoints over short windows of application time. This approach drastically reduces the total volume of stored data, allows the caching of state in the regeneration window in memory and on local SSDs, may accelerate the application execution by reducing output frequency, and reduces the power overhead from I/O. We explore variations to this workflow, applied to a proxy for the SA of turbulent combustion, by varying checkpoint number, state storage, and other regeneration options to find efficient implementations for minimizing compute time or power consumption.","PeriodicalId":206005,"journal":{"name":"2014 9th Workshop on Workflows in Support of Large-Scale Science","volume":"30 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":"115141330","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

Increasing Scientific Workflow Programming Productivity with HyperFlow 提高科学工作流编程生产力与HyperFlow

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.10

B. Baliś

引用次数: 19

Execution Time Estimation for Workflow Scheduling 工作流调度的执行时间估计

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.11

A. Chirkin, A. Belloum, S. Kovalchuk, M. Makkes

引用次数: 88

A Performance Model to Estimate Execution Time of Scientific Workflows on the Cloud 云上科学工作流执行时间估计的性能模型

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-16 DOI: 10.1109/WORKS.2014.12

Ilia Pietri, G. Juve, E. Deelman, R. Sakellariou

引用次数: 80

A Cleanup Algorithm for Implementing Storage Constraints in Scientific Workflow Executions 在科学工作流执行中实现存储约束的清理算法

2014 9th Workshop on Workflows in Support of Large-Scale Science Pub Date : 2014-11-01 DOI: 10.1109/WORKS.2014.8

S. Srinivasan, G. Juve, Rafael Ferreira da Silva, K. Vahi, E. Deelman

引用次数: 13