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DTSTART:20200630T070000Z
DTEND:20200701T150000Z
DESCRIPTION:Introduction to Biomolecular modeling and Molecular dynamics in
  HPC\n\n(Classical and Quantum)\n\nPurpose of the course\n\nThe purpose of
  this course is to present to existing and potential users of Molecular Dy
 namics packages the method\, the necessary steps for a successful simulati
 on\, common practices\, common mistakes. The steps for a complete simulati
 on workflow i.e. system setup up to final properties evaluation will be pr
 esented using popular software packages.\n\nOutcomes\n\nAfter the course t
 he participants should be able to efficiently use their prefered MD applic
 ation (i.e. NAMD\, GROMACS\, LAMMPS\, CP2K)\, for molecular modelling and 
 molecular dynamics simulations\,  how to create configuration files based
  on their needs\, tuning the models\, how to efficiently use the resources
  based on the simulation details\, avoid common mistakes.\n\nPrerequisites
 \n\nBackground in Physics/Chemistry/Biology. Programming skills\, aware of
  Parallel environments. Bring your own laptop in order to be able to parti
 cipate in the training hands on. Hands on work will be done in pairs so if
  you don’t have a laptop you might work with a colleague. Course languag
 e is English.\n\nRegistration\n\nRegistrations will be evaluated on a firs
 t-come\, first-served basis. GRNET is responsible for the selection of the
  participants on the basis of the training requirements and the technical 
 skills of the candidates. GRNET will also seek to guarantee the maximum p
 ossible geographical coverage with the participation of candidates from ma
 ny countries.\n\nVenue\n\nONLINE using zoom\n\nARIS - System Information\n
 \nARIS is the name of the Greek supercomputer\, deployed and operated by G
 RNET (Greek Research and Technology Network) in Athens. ARIS consists of 5
 32 computational nodes seperated in four “islands” as listed here:\n\n
 \n	\n	426 thin nodes: Regular compute nodes without accelerator.\n	\n	\n	4
 4 gpu nodes: “2 x NVIDIA Tesla k40m” accelerated nodes.\n	\n	\n	18 phi
  nodes: “2 x INTEL Xeon Phi 7120p” accelerated nodes.\n	\n	\n	44 fat n
 odes: Fat compute nodes have larger number of cores and memory per core th
 an a thin node.\n	\n\n\nAll the nodes are connected via Infiniband network
  and share 2PB GPFS storage.The infrastructure also has an IBM TS3500 libr
 ary of maximum storage capacity of about 6 PB. Access to the system is pro
 vided by two login nodes. \n\nAbout Tutors\n\nDr. Zoe Cournia (female) is 
 a Researcher – Associate Professor level at the Biomedical Research Foun
 dation\, Academy of Athens\, where she works on anticancer drug design\, d
 esign of drug delivery systems and biomolecular modeling using computation
 al techniques. She graduated from the Chemistry Department\, University of
  Athens in 2001 and completed her PhD at the University of Heidelberg in G
 ermany in 2006. She then worked as a postdoctoral researcher at the Chemis
 try Department\, Yale University\, USA\, on computer-aided drug design and
  in 2009 she became a lecturer at Yale College. She has been awarded the A
 merican Association for Cancer Research Angiogenesis Fellowship (2008)\, t
 he "Woman of Innovation 2009" Award from the Connecticut Technology Counci
 l\, USA\, the Marie Curie Fellowship from the European Union (2010)\, the 
 "Outstanding Junior Faculty Award" from the American Chemical Society (201
 4) and the first "Ada Lovelace Award" from the "Partnership for Advanced C
 omputing in Europe" (2016). She is currently teaching at the Master’s pr
 ogram “Information Technologies in Technology and Medicine” at the Dep
 artment of Informatics and Telecommunications\, National University of  A
 thens.\n\nDr. Dimitris Tsalikis (male) is a Research Associate at the Depa
 rtment of Chemical Engineering in the University of Patras. His research f
 ocuses on the physicochemical characterization and the rheology of polymer
 s\, polymer nanocomposites\, nanofluidics and formulations via atomistic a
 nd mesoscopic simulations and to this he develops novel parallel computati
 onal methodologies. He received his Diploma in Chemical Engineering from t
 he University of Patras in 2004 and his Ph.D. (titled: “Computational st
 udy of structural relaxation and plastic deformation of glassy polymers”
 ) from the National Technical University of Athens in 2009 under the advis
 ement of Prof. Doros N. Theodorou. In 2011 he joined the research team of 
 Prof. Vlasis Mavrantzas in Patras as a Research Associate. Dr. Tsalikis ha
 s a solid experience with high performance computing since 2007 being an a
 ctive user of Tier1 and Tier0 HPC systems available to scientific communit
 y under the frameworks of HPC-Europa\, PRACE and LinkSCEEM projects. He is
  currently teaching at the Master’s program “Polymer Science and Techn
 ology” at University of Patras.\n\n Dr. Dellis (Male) holds a B.Sc. in 
 Chemistry (1990) and PhD in Computational Chemistry (1995) from the Nation
 al and Kapodistrian University of Athens\, Greece. He has extensive HPC an
 d grid computing experience.  Currently he holds the position of “HPC T
 eam leader” at GRNET S.A.\n\nAbout GRNET\n\nGRNET – National Infrastru
 ctures for Research and Technology\, provides networking and cloud computi
 ng services to academic and research institutions\, to educational bodies 
 at all levels\, and to agencies of the public\, broader public and private
  sector. It is responsible for promoting and disseminating network and com
 puting technologies and applications\, as well as for promoting and implem
 enting Greece’s Digital Transformation goals. Thus\, GRNET leverages the
  educational and research activity in the country\, towards the developmen
 t of applied and technological research in the fields of telecommunication
  networks and computing services.\n\nMore at: https://grnet.gr/en/company/
 \n\nwww.grnet.gr\, hpc.grnet.gr\n\n \nhttps://events.prace-ri.eu/event/10
 38/
SUMMARY:[ONLINE] Introduction to Molecular Modeling (materials and bio) and
  Molecular dynamics in HPC @GRNET
URL;VALUE=URI:https://events.prace-ri.eu/event/1038/
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