000916420 001__ 916420
000916420 005__ 20250822121410.0
000916420 037__ $$aFZJ-2022-06220
000916420 041__ $$aEnglish
000916420 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0$$eCorresponding author$$ufzj
000916420 1112_ $$aJUWELS Booster Tuning and Scaling Workshop 2022$$conline$$d2022-03-07 - 2022-03-11$$wGermany
000916420 245__ $$aJUWELS Booster Tuning and Scaling Workshop 2022
000916420 260__ $$c2022
000916420 3367_ $$2BibTeX$$aCONFERENCE
000916420 3367_ $$2DRIVER$$aconferenceObject
000916420 3367_ $$2DataCite$$aEvent
000916420 3367_ $$0PUB:(DE-HGF)5$$2PUB:(DE-HGF)$$aConference / Event$$bevent$$mevent$$s1671692845_17992
000916420 3367_ $$2ORCID$$aOTHER
000916420 3367_ $$031$$2EndNote$$aGeneric
000916420 500__ $$aIndico: https://indico-jsc.fz-juelich.de/event/266/other-view?view=standard
000916420 520__ $$aThe Booster module of the JUWELS supercomputer at JSC consists of 936 compute nodes, each equipped with 4 NVIDIA A100 GPUs and providing a peak performance of over 70 PFLOP/s. Per node, 4 InfiniBand HDR200 adapters are installed, providing 800 GBit/s of network bandwidth per node. The system is in production since end of 2020 and used by many researchers for advanced simulations at large scales.This workshop will focus on applications already enabled for a few GPUs, with the goal to improve scaling and performance on many GPUs.Dedicated lectures will present state-of-the-art tools and techniques for efficient multi-GPU computing; while the main focus is on interactive hands-on sessions together with mentors, in which the applications of the participants will be analyzed and optimized.
000916420 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000916420 536__ $$0G:(DE-HGF)POF4-5122$$a5122 - Future Computing & Big Data Systems (POF4-512)$$cPOF4-512$$fPOF IV$$x1
000916420 536__ $$0G:(DE-HGF)POF4-5121$$a5121 - Supercomputing & Big Data Facilities (POF4-512)$$cPOF4-512$$fPOF IV$$x2
000916420 536__ $$0G:(DE-Juel-1)ATML-X-DEV$$aATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV)$$cATML-X-DEV$$x3
000916420 8564_ $$uhttps://www.fz-juelich.de/en/ias/jsc/news/events/training-courses/2022/jwb-tuning-2022
000916420 909CO $$ooai:juser.fz-juelich.de:916420$$pVDB
000916420 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145478$$aForschungszentrum Jülich$$b0$$kFZJ
000916420 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000916420 9131_ $$0G:(DE-HGF)POF4-512$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5122$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vSupercomputing & Big Data Infrastructures$$x1
000916420 9131_ $$0G:(DE-HGF)POF4-512$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5121$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vSupercomputing & Big Data Infrastructures$$x2
000916420 9141_ $$y2022
000916420 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000916420 980__ $$aevent
000916420 980__ $$aVDB
000916420 980__ $$aI:(DE-Juel1)JSC-20090406
000916420 980__ $$aUNRESTRICTED