Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach-Reference-Cited by-同舟云学术

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Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach

Published:2015-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
Short-container-title:

Author:

Sewell Christopher¹,Heitmann Katrin²,Finkel Hal³,Zagaris George⁴,Parete-Koon Suzanne T.⁵,Fasel Patricia K.¹,Pope Adrian²,Frontiere Nicholas⁶,Lo Li-ta¹,Messer Bronson⁷,Habib Salman⁸,Ahrens James¹

Affiliation:

1. Los Alamos National Lab, Los Alamos, NM

2. Argonne National Lab, Lemont, IL

3. ALCF, Argonne National Lab, Lemont, IL

4. Lawrence Livermore Nat. Lab, Livermore, CA

5. OLCF Oak Ridge National Lab, Oak Ridge, TN

6. University of Chicago and Argonne National Laboratory

7. OLCF, Oak Ridge National Lab, Oak Ridge, TN

8. High Energy Physics, Argonne National Lab, Lemont, IL

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2807591.2807663

Reference43 articles.

1. Extending I/O through high performance data services

2. Improved post hoc flow analysis via Lagrangian representations

3. An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CAPIO: a Middleware for Transparent I/O Streaming in Data- Intensive Workflows;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

2. Efficient in-situ workflow planning for geographically distributed heterogeneous environments;Future Generation Computer Systems;2023-12

3. INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows;Euro-Par 2023: Parallel Processing;2023

4. Data Locality in High Performance Computing, Big Data, and Converged Systems: An Analysis of the Cutting Edge and a Future System Architecture;Electronics;2022-12-23

5. Co-scheduling Ensembles of In Situ Workflows;2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS);2022-11

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