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DESCRIPTION:\n\nAnnotation\n\nWith the petering-out of Moore's law and the 
 end of Dennard's scaling\, the pace dictated on the performance increase o
 f High Performance Computing (HPC) Systems among generations has led to po
 wer constrained architectures and even higher importance of the efficient 
 utilization of the computation resources than before. In addition\, power 
 consumption represents a significant cost factor in the overall HPC system
  economy. For those reasons in recent years\, researchers\, supercomputing
  centres and major vendors have developed new tools and methodologies to m
 easure and optimise the energy consumption of large scale high performance
  system installation. The well-established performance analysis tools are 
 continuously adapted and enhanced to fit the specifics of the emerging arc
 hitectures. These tools can provide an in-depth view on the application be
 haviour and support the decisions in the energy efficiency aspects. A robu
 st performance analysis methodology can guide the developers through the v
 arious performance metrics to identify the fundamental causes of the perfo
 rmance inefficiencies of their application\, which can be exploited by the
  energy-efficiency runtime systems.\n\nThe course will offer an introducti
 on to the fundamental concepts of performance\, power consumption\, and en
 ergy efficiency in HPC systems. Then it will focus on the performance anal
 ysis process and methodology developed during the POP project\, followed b
 y the mechanisms that today's computing elements and systems provide in te
 rms of monitoring and control of power and energy dissipation. Finally\, i
 t will introduce and give hands-on sessions for a set of tools for perform
 ance analysis as well as reducing the energy consumption in HPC devices.\n
 \nThe course is organised into two main sessions\, driving the audience th
 rough the performance analysis workflow including the basics of the POP me
 thodology\, the physical and engineering principles underlying power consu
 mption in supercomputing systems\, up to the practical usage of state-of-t
 he-art tools for monitoring and controlling the energy efficiency of paral
 lel applications. The tools that will be covered are Extrae\, Paraver\, Ba
 sic Analysis (all BSC)\, MSR-SAFE (LLNL)\, MERIC (IT4I). \n\nPurpose of t
 he course (benefits for the attendees)\n\nBy the end of the course\, parti
 cipants will:\n\n\n	learn how to use the presented performance tools and e
 valuate the performance metrics using the POP methodology\n	have a good un
 derstanding of the principles underlying power consumption and energy diss
 ipation in high performance computing nodes\n	recognise trade-offs and the
  implications of changing the power consumption in scientific computing sy
 stems during the execution of scientific computing applications\n	learn ho
 w to use these tools to optimise your codes for both performance and energ
 y efficiency.\n\n\nPrerequisities\n\nThe following background is expected 
 from the participants:\n\n\n	knowledge of C/C++\, elementary notions of Li
 nux/Unix\n	knowledge of computing architecture\n	experience in running HPC
  applications or systems\n	basic knowledge of parallel programming OpenMP
  and/or MPI.\n\n\nTools with graphical interface will be used during the 
 course. Please\, activate X-Window or install VNC (see e.g. IT4Innovations
  documentation) on your notebook before the training.\n\nLanguage\n\nEngli
 sh\n\nLevel\n\nintermediate\n\nAbout the tutors\n\nLubomír Říha is th
 e Head of the Infrastructure Research Lab at IT4Innovations National Super
 computing Center. Previously he was a senior researcher in the Parallel Al
 gorithms Research Lab at IT4Innovations\, and a research scientist in the 
 High Performance Computing Lab at George Washington University\, ECE Depar
 tment. He received his PhD and MSc degrees in Electrical Engineering from 
 the Czech Technical University in Prague\, the Czech Republic\, in 2011\, 
 and his Ph.D. degree in Computer Science from Bowie State University\, USA
 . Currently he is a local principal investigator of the H2020 Center of Ex
 cellence project POP2. Previously he was an investigator in the FP7 EXA2CT
  project and the Intel Parallel Computing Center\, as well as a local prin
 cipal investigator of the H2020-FET HPC READEX project. He is also co-prin
 cipal developer of the ESPRESO finite element library\, which includes a p
 arallel sparse solver designed for supercomputers with tens or hundreds of
  thousands of cores\, with support for both GPU and Intel Xeon Phi acceler
 ators. His research interests are optimisation of HPC applications\, energ
 y efficient computing\, acceleration of scientific and engineering applica
 tions using GPU and many-core accelerators\, development of scalable linea
 r solvers\, parallel rendering on new HPC architectures\, and signal and i
 mage processing.\n\nOndřej Vysocký received his M.Sc. degree in Comput
 er Science from Brno University of Technology\, Czech Republic in 2016. Hi
 s master thesis focused on parallel I/O optimisation. Currently he is a Ph
 D candidate at VSB – Technical University of Ostrava\, Czech Republic\, 
 and he simultaneously works at IT4Innovations in the Infrastructure Resear
 ch Lab. His research is focused on energy-efficiency in high performance c
 omputing. He was also an investigator of the Horizon 2020 READEX project\,
  which deals with energy efficiency of High Performance Computing applicat
 ions using dynamic tuning. Since that time\, he develops a MERIC library\,
  a runtime system for energy consumption measurement and hardware paramete
 r tuning during parallel application runs.\n\nRadim Vavřík is a Ph.D. 
 student in Computational Science and a researcher in the IT4Innovations In
 frastructure Research Lab. He is mainly interested in parallel computing\,
  scalable algorithms design\, GPU acceleration and code optimization\, and
  heterogeneous architectures. He worked on hydrological and flood modellin
 g software and high-performance heterogeneous platform for energy-efficien
 t computing. Now\, he works on GPU acceleration of the ESPRESO library and
  as a performance analyst in H2020 POP2 project.\n\nTomáš Panoc works 
 as a research assistant and an internal doctoral student at Infrastructure
  Research Lab\, IT4Innovations. He graduated in Computer Science at Facult
 y of Electrical Engineering and Computer Science\, VSB - Technical Univers
 ity of Ostrava. He is involved in the ESPRESO and the POP2 projects. Tomas
  studies possibilities of automatic solver configuration optimization insi
 de the ESPRESO library. Within the POP2 project\, he engages in performanc
 e assessments and proof-of-concepts.\n\nMatej Špeťko is a Ph.D. studen
 t and a research assistant at Infrastructure Research Lab\, IT4Innovations
 . He graduated in Computer and Embedded systems at the Brno University of 
 Technology. He contributed to the PRACE Enhancing HLST project where he co
 llaborated with users of HPC systems to optimize the runtime of their appl
 ications. His research is focused on the analysis of HPC architectures in 
 terms of performance and energy efficiency. \n\nAcknowledgements      
  \n\n       \n\nThis event was partially supported by The Ministry of
  Education\, Youth and Sports from the Large Infrastructures for Research\
 , Experimental Development and Innovations project "e-Infrastruktura CZ 
 – LM2018140“ and partially by the PRACE-6IP project - the European Uni
 on’s Horizon 2020 research and innovation programme under grant agreemen
 t No. 823767.\nhttps://events.prace-ri.eu/event/1353/
SUMMARY:[ONLINE] Introduction to Performance and Energy Efficiency Analysis
  @ IT4Innovations
URL;VALUE=URI:https://events.prace-ri.eu/event/1353/
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