会议论文详细信息
20th International Conference on Computing in High Energy and Nuclear Physics
Next-Generation Navigational Infrastructure and the ATLAS Event Store
物理学;计算机科学
Gemmeren, P. Van^1 ; Malon, D.^1 ; Nowak, M.^2
Argonne National Laboratory, Argonne
IL
60439, United States^1
Brookhaven National Laboratory, Upton
NY
11973, United States^2
关键词: Back navigation;    Computing platform;    Content-based;    Data objects;    Distributed processing;    Large Hadron Collider;    Multi-threading;    Processing stage;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/5/052036/pdf
DOI  :  10.1088/1742-6596/513/5/052036
学科分类:计算机科学(综合)
来源: IOP
PDF
【 摘 要 】

The ATLAS event store employs a persistence framework with extensive navigational capabilities. These include real-time back navigation to upstream processing stages, externalizable data object references, navigation from any data object to any other both within a single file and across files, and more. The 2013-2014 shutdown of the Large Hadron Collider provides an opportunity to enhance this infrastructure in several ways that both extend these capabilities and allow the collaboration to better exploit emerging computing platforms. Enhancements include redesign with efficient file merging in mind, content-based indices in optimized reference types, and support for forward references. The latter provide the potential to construct valid references to data before those data are written, a capability that is useful in a variety of multithreading, multiprocessing, distributed processing, and deferred processing scenarios. This paper describes the architecture and design of the next generation of ATLAS navigational infrastructure.

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