دورية أكاديمية

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

التفاصيل البيبلوغرافية
العنوان: ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management
المؤلفون: William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
المصدر: SoftwareX, Vol 12, Iss , Pp 100561- (2020)
بيانات النشر: Elsevier, 2020.
سنة النشر: 2020
المجموعة: LCC:Computer software
مصطلحات موضوعية: High-performance computing (HPC), Scalable I/O, Luster GPFS file systems, Staging, RDMA, Data science, Computer software, QA76.75-76.765
الوصف: We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses scientific data management needs ranging from scalable I/O in supercomputers, to data analysis in personal computer and cloud systems. Version 2 introduces a unified application programming interface (API) that enables seamless data movement through files, wide-area-networks, and direct memory access, as well as high-level APIs for data analysis. The internal architecture provides a set of reusable and extendable components for managing data presentation and transport mechanisms for new applications. ADIOS 2 bindings are available in C++11, C, Fortran, Python, and Matlab and are currently used across different scientific communities. ADIOS 2 provides a communal framework to tackle data management challenges as we approach the exascale era of supercomputing.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2352-7110
Relation: http://www.sciencedirect.com/science/article/pii/S2352711019302560; https://doaj.org/toc/2352-7110
DOI: 10.1016/j.softx.2020.100561
URL الوصول: https://doaj.org/article/1b10ffd8ae92432b9967bc2e0905e38d
رقم الأكسشن: edsdoj.1b10ffd8ae92432b9967bc2e0905e38d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23527110
DOI:10.1016/j.softx.2020.100561