Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy
Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy
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Bifrost:用于天文学高吞吐量流处理的 Python/C 框架
DOI:
10.1142/s2251171717500076
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
L. Greenhill
中科院分区:
文献类型:
--
作者:
M. Cranmer;B. Barsdell;D. Price;J. Dowell;H. Garsden;V. Dike;T. Eftekhari;A. Hegedus;J. Malins;K. Obenberger;F. Schinzel;K. Stovall;Gregory B. Taylor;L. Greenhill
Radio astronomy observatories with high throughput back end instruments require real-time data processing. While computing hardware continues to advance rapidly, development of real-time processing pipelines remains difficult and time-consuming, which can limit scientific productivity. Motivated by this, we have developed Bifrost: an open-source software framework for rapid pipeline development.(a) Bifrost combines a high-level Python interface with highly efficient reconfigurable data transport and a library of computing blocks for CPU and GPU processing. The framework is generalizable, but initially it emphasizes the needs of high-throughput radio astronomy pipelines, such as the ability to process data buffers as if they were continuous streams, the capacity to partition processing into distinct data sequences (e.g. separate observations), and the ability to extract specific intervals from buffered data. Computing blocks in the library are designed for applications such as interferometry, pulsar dedisp...
DOI:
10.1088/1538-3873/aa80d2
发表时间:
2018-04-01
影响因子:
3.5
作者:
MacMahon, David H. E.;Price, Danny C.;Woody, Dave
通讯作者:
Woody, Dave
DOI:
10.1017/s1743921312024623
发表时间:
2013
期刊:
Proceedings of the International Astronomical Union
影响因子:
--
作者:
Serylak M
通讯作者:
Serylak M