guest ::
| Home > Publications database > AMReX and pyAMReX: Looking beyond the exascale computing project > print |
| Home > Publications database > AMReX and pyAMReX: Looking beyond the exascale computing project > print |
| 001 | 619284 | ||
| 005 | 20251124184215.0 | ||
| 024 | 7 | _ | |a 10.1177/10943420241271017 |2 doi |
| 024 | 7 | _ | |a 1094-3420 |2 ISSN |
| 024 | 7 | _ | |a 1078-3482 |2 ISSN |
| 024 | 7 | _ | |a 1741-2846 |2 ISSN |
| 024 | 7 | _ | |a WOS:001307506500001 |2 WOS |
| 024 | 7 | _ | |a altmetric:160945348 |2 altmetric |
| 024 | 7 | _ | |a openalex:W4402073247 |2 openalex |
| 024 | 7 | _ | |a arXiv:2403.12179 |2 arXiv |
| 037 | _ | _ | |a PUBDB-2024-07532 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 004 |
| 088 | _ | _ | |a arXiv:2403.12179 |2 arXiv |
| 100 | 1 | _ | |a Myers, Andrew |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a AMReX and pyAMReX: Looking beyond the exascale computing project |
| 260 | _ | _ | |a Thousand Oaks, Calif. |c 2024 |b Sage Science Press |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1763977550_1928916 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a Waiting for fulltext |
| 520 | _ | _ | |a AMReX is a software framework for the development of block-structured mesh applications with adaptive mesh refinement (AMR). AMReX was initially developed and supported by the AMReX Co-Design Center as part of the U.S. DOE Exascale Computing Project (ECP), and is continuing to grow post-ECP. In addition to adding new functionality and performance improvements to the core AMReX framework, we have also developed a Python binding, pyAMReX, that provides a bridge between AMReX-based application codes and the data science ecosystem. pyAMReX provides zero-copy application GPU data access for AI/ML, in situ analysis and application coupling, and enables rapid, massively parallel prototyping. In this paper we review the overall functionality of AMReX and pyAMReX, focusing on new developments, new functionality, and optimizations of key operations. We also summarize capabilities of ECP projects that used AMReX and provide an overview of new, non-ECP applications. |
| 536 | _ | _ | |a 621 - Accelerator Research and Development (POF4-621) |0 G:(DE-HGF)POF4-621 |c POF4-621 |f POF IV |x 0 |
| 542 | _ | _ | |i 2025-08-29 |2 Crossref |u http://www.sagepub.com/licence-information-for-chorus |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: bib-pubdb1.desy.de |
| 693 | _ | _ | |0 EXP:(DE-MLZ)NOSPEC-20140101 |5 EXP:(DE-MLZ)NOSPEC-20140101 |e No specific instrument |x 0 |
| 700 | 1 | _ | |a Zhang, Weiqun |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Almgren, Ann |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Antoun, Thierry |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Bell, John |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Huebl, Axel |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Sinn, Alexander |0 P:(DE-H253)PIP1094791 |b 6 |
| 773 | 1 | 8 | |a 10.1177/10943420241271017 |b SAGE Publications |d 2024-08-29 |n 6 |p 599-611 |3 journal-article |2 Crossref |t The International Journal of High Performance Computing Applications |v 38 |y 2024 |x 1094-3420 |
| 773 | _ | _ | |a 10.1177/10943420241271017 |g Vol. 38, no. 6, p. 599 - 611 |0 PERI:(DE-600)2017480-9 |n 6 |p 599-611 |t The international journal of high performance computing applications |v 38 |y 2024 |x 1094-3420 |
| 856 | 4 | _ | |y Restricted |u https://bib-pubdb1.desy.de/record/619284/files/2403.12179v2.pdf |
| 856 | 4 | _ | |y Restricted |x pdfa |u https://bib-pubdb1.desy.de/record/619284/files/2403.12179v2.pdf?subformat=pdfa |
| 909 | C | O | |p VDB |o oai:bib-pubdb1.desy.de:619284 |
| 910 | 1 | _ | |a Deutsches Elektronen-Synchrotron |0 I:(DE-588b)2008985-5 |k DESY |b 6 |6 P:(DE-H253)PIP1094791 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l Materie und Technologie |1 G:(DE-HGF)POF4-620 |0 G:(DE-HGF)POF4-621 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-600 |4 G:(DE-HGF)POF |v Accelerator Research and Development |x 0 |
| 914 | 1 | _ | |y 2024 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-26 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-26 |
| 915 | _ | _ | |a National-Konsortium |0 StatID:(DE-HGF)0430 |2 StatID |d 2024-12-27 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-27 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b INT J HIGH PERFORM C : 2022 |d 2024-12-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2024-12-27 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2024-12-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |d 2024-12-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-27 |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2024-12-27 |
| 920 | 1 | _ | |0 I:(DE-H253)MPA1-20210408 |k MPA1 |l Plasma Theory and Simulations |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-H253)MPA1-20210408 |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1006/jcph.1998.5890 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1088/0004-637X/715/2/1221 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1088/0004-637x/765/1/39 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.21105/joss.02513 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.21105/joss.05202 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1109/P3HPC49587.2019.00012 |2 Crossref |u Beckingsale DA, Burmark J, Hornung R, et al. (2019) RAJA: portable performance for large-scale scientific applications. In: 2019 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC), Denver, CO, USA, 22-22 November 2019. 71–81. |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1016/0021-9991(89)90035-1 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1016/0021-9991(84)90073-1 |2 Crossref |
| 999 | C | 5 | |2 Crossref |u Consortium for Python Data API Standards (2021) Python array API standard. https://data-apis.org/array-api. |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1177/10943420221121151 |2 Crossref |
| 999 | C | 5 | |2 Crossref |u Dhruv A (2024) AMReX-Bittree-Performance. https://github.com/Lab-Notebooks/AMReX-Bittree-Performance. |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1016/j.cpc.2022.108421 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1016/j.jpdc.2014.07.001 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1016/j.jpdc.2014.07.003 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.21105/joss.05450 |2 Crossref |
| 999 | C | 5 | |2 Crossref |u ExaEpi (2023) ExaEpi documentation. https://exaepi.readthedocs.io. |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1109/SC41404.2022.00008 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1063/1.1893366 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1038/s41586-020-2649-2 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.18429/JACoW-NAPAC2022-TUYE2 |2 Crossref |
| 999 | C | 5 | |2 Crossref |u Huebl A, Lehe R, Zoni E, et al. (2022b) From compact plasma particle sources to advanced accelerators with modeling at exascale. https://arxiv.org/abs/2303.12873. |
| 999 | C | 5 | |2 Crossref |u Jakob W (2022) nanobind: tiny and efficient C++/Python bindings. https://github.com/wjakob/nanobind. |
| 999 | C | 5 | |2 Crossref |u Jakob W, Rhinelander J, Moldovan D (2017) pybind11 – seamless operability between C++11 and Python. https://github.com/pybind/pybind11. |
| 999 | C | 5 | |1 Kluyver T |y 2016 |2 Crossref |t Positioning and Power in Academic Publishing: Players, Agents and Agendas |o Kluyver T Positioning and Power in Academic Publishing: Players, Agents and Agendas 2016 |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1145/2833157.2833162 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1177/10943420211009293 |2 Crossref |
| 999 | C | 5 | |2 Crossref |u Okuta R, Unno Y, Nishino D, et al. (2017) CuPy: a NumPy-compatible library for NVIDIA GPU calculations Proceedings of Workshop on Machine Learning Systems (LearningSys) in the Thirty-First Annual Conference on Neural Information Processing Systems (NIPS), December 8, 2017, Long Beach, California. |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1038/s41598-023-39150-1 |2 Crossref |
| 999 | C | 5 | |1 Paszke A |y 2019 |2 Crossref |t Advances in Neural Information Processing Systems |o Paszke A Advances in Neural Information Processing Systems 2019 |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1016/j.ces.2023.118614 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1006/jcph.2000.6570 |2 Crossref |
| 999 | C | 5 | |2 Crossref |u REMORA (2023) REMORA documentation. https://remora.readthedocs.io. |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1145/3659914.3659937 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1002/we.2886 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1016/j.nima.2018.01.035 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1109/IPDPSW.2016.50 |2 Crossref |
| 999 | C | 5 | |9 -- missing cx lookup -- |a 10.1177/10943420211022811 |2 Crossref |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|