000905847 001__ 905847
000905847 005__ 20220131120343.0
000905847 037__ $$aFZJ-2022-01054
000905847 1001_ $$0P:(DE-Juel1)132152$$aKabadshow, Ivo$$b0$$eCorresponding author$$ufzj
000905847 1112_ $$aCECAM Flagship Workshop: Advances in Electrostatic calculations: the road towards the Exascale$$cOnline$$d2021-07-29 - 2021-09-29$$wGermany
000905847 245__ $$aAn Error-Controlled Fast Multipole Method and the Road to Exascale
000905847 260__ $$c2021
000905847 3367_ $$033$$2EndNote$$aConference Paper
000905847 3367_ $$2DataCite$$aOther
000905847 3367_ $$2BibTeX$$aINPROCEEDINGS
000905847 3367_ $$2DRIVER$$aconferenceObject
000905847 3367_ $$2ORCID$$aLECTURE_SPEECH
000905847 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1643106490_11645$$xAfter Call
000905847 520__ $$aFast summation methods like the FMM are the backbone of a multitude of simulations in MD, astrophysics or plasma physics. The linear complexity with respect to the number of particles enables the simulation of very large particle ensembles within a user-defined accuracy range.The massive amount of available FLOPs in today's HPC systems led to a shift in the development. What started as a hunt for the least amount of FLOPs, has now moved to implementations that can utilize all available hierarchical parallelism in the system.In this talk we will focus on three main topics: 1.) The efficient mathematical formulation of an error controlled FMM. 2.) The efficient implementation to utilize parallelism. 3.) The road towards exascale
000905847 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000905847 8564_ $$uhttps://www.cecam.org/workshop-details/22
000905847 909CO $$ooai:juser.fz-juelich.de:905847$$pVDB
000905847 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132152$$aForschungszentrum Jülich$$b0$$kFZJ
000905847 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$$x0
000905847 9141_ $$y2021
000905847 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000905847 980__ $$aconf
000905847 980__ $$aVDB
000905847 980__ $$aI:(DE-Juel1)JSC-20090406
000905847 980__ $$aUNRESTRICTED