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RIS citation export for WEMPR001: Data Analysis Infrastructure for Diamond Light Source Macromolecular & Chemical Crystallography and Beyond

TY  - CONF
AU  - Gerstel, M.
AU  - Ashton, A.
AU  - Gildea, R.J.
AU  - Levik, K.
AU  - Winter, G.
ED  - White, Karen S.
ED  - Brown, Kevin A.
ED  - Dyer, Philip S.
ED  - Schaa, Volker RW
TI  - Data Analysis Infrastructure for Diamond Light Source Macromolecular & Chemical Crystallography and Beyond
J2  - Proc. of ICALEPCS2019, New York, NY, USA, 05-11 October 2019
CY  - New York, NY, USA
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 17
LA  - english
AB  - The Diamond Light Source data analysis infrastructure, Zocalo, is built on a messaging framework. Analysis tasks are processed by a scalable pool of workers running on cluster nodes. Results can be written to a common file system, sent to another worker for further downstream processing and/or streamed to a LIMS. Zocalo allows increased parallelization of computationally expensive tasks and makes the use of computational resources more efficient. The infrastructure is low-latency, fault-tolerant, and allows for highly dynamic data processing. Moving away from static workflows expressed in shell scripts we can easily re-trigger processing tasks in the event that an issue is found. It allows users to re-run tasks with additional input and ensures that automatically and manually triggered processing results are treated equally. Zocalo was originally conceived to cope with the additional demand on infrastructure by the introduction of Eiger detectors with up to 18 Mpixels and running at up to 560 Hz framerate on single crystal diffraction beamlines. We are now adapting Zocalo to manage processing tasks for ptychography, tomography, cryo-EM, and serial crystallography workloads.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1031
EP  - 1035
KW  - experiment
KW  - detector
KW  - database
KW  - monitoring
KW  - data-acquisition
DA  - 2020/08
PY  - 2020
SN  - 2226-0358
SN  - 978-3-95450-209-7
DO  - doi:10.18429/JACoW-ICALEPCS2019-WEMPR001
UR  - https://jacow.org/icalepcs2019/papers/wempr001.pdf
ER  -