Dear Ana, how do you deal with the crescent amount of data we are facing, at Synchrotrons and XFELs? At LCLS, we plan to stream data to near-by supercomputing facilities for serial crystallography data processing. So we are developing code to fully utilize both CPUs and GPUs on these machines.
I agree with Tim that CPUs are more cost effective, but in my opinion GPUs are worth it if you plan to incorporate deep neural networks / compression / simulation etc in your data processing pipeline. Best, Chuck -------------------------------------------------------------------------- Chunhong Yoon, Ph.D. Head of LCLS Data Analytics LCLS / SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo Park, CA 94025 Bldg. 901, Rm. 132 On Feb 18, 2020, at 1:44 PM, Tim Gruene <tim.gru...@univie.ac.at<mailto:tim.gru...@univie.ac.at>> wrote: Dear Ana, you may want to check how many single board computers (like the Raspberry Pi or true open source hardware platform) you can buy for a single GPU high end graphics card. It may be cheaper at better performance compared to GPU computing. XDS (and possibly also DIALS) can distribute its job across ssh, hence you only need the appropriate network connections. XDS wouldn't run on Raspberry Pi, although it may not be difficult to port. Best, Tim On Tuesday, February 18, 2020 8:48:17 PM CET Ana Carolina de Mattos Zeri wrote: Dear all we have asked this of a few people, but the question remains: does any of you have experienced/tried using GPU based software to treat MX data? for reducing or subsequent image analysis? is it a lost battle? how do you deal with the crescent amount of data we are facing, at Synchrotrons and XFELs? Here at the Manaca beamline at Sirius we will continue to support CPU based software, but due to developments in the imaging beam lines, GPU machines are looking very attractive. many thanks in advance for your thoughts, all the best Ana Ana Carolina Zeri, PhD Manaca Beamline Coordinator (Macromolecular Micro and Nano Crystallography) Brazilian Synchrotron Light Laboratory (LNLS) Brazilian Center for Research in Energy and Materials (CNPEM) Zip Code 13083-970, Campinas, Sao Paulo, Brazil. (19) 3518-2498 www.lnls.br<http://www.lnls.br/><http://www.lnls.br<http://www.lnls.br/>> ana.z...@lnls.br<mailto:ana.z...@lnls.br><mailto:ana.z...@lnls.br> Aviso Legal: Esta mensagem e seus anexos podem conter informa??es confidenciais e/ou de uso restrito. Observe atentamente seu conte?do e considere eventual consulta ao remetente antes de copi?-la, divulg?-la ou distribu?-la. Se voc? recebeu esta mensagem por engano, por favor avise o remetente e apague-a imediatamente. Disclaimer: This email and its attachments may contain confidential and/or privileged information. Observe its content carefully and consider possible querying to the sender before copying, disclosing or distributing it. If you have received this email by mistake, please notify the sender and delete it immediately. ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCP4BB&A=1 -- -- Tim Gruene Head of the Centre for X-ray Structure Analysis Faculty of Chemistry University of Vienna Phone: +43-1-4277-70202 GPG Key ID = A46BEE1A ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCP4BB&A=1 ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCP4BB&A=1
