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DTSTAMP:20260707T214935Z
UID:43b78136-5570-48de-9f0f-171156d5f28e
DTSTART:20190221T080000Z
DTEND:20190222T160000Z
DESCRIPTION:Description:\nWith the steaming out of Moore's law and the end 
 of Dennard's scaling the pace dictated on the performance increase of High
  Performance Computing Systems among generations has led to power constrai
 ned architectures and systems. In addition power consumption represents a 
 significant cost factor in the overall HPC system economy. For this reason
 s in the recent years researchers\, supercomputing centers and major vendo
 rs have developed new tools and methodologies to measure and optimize the 
 energy consumption of large scale high performance system installation. Du
 e to the link between energy consumption\, power consumption and execution
  time of the application executed by the final user it is important for th
 ese tools and methodology to consider all these aspects empowering the fin
 al user and the system administrator with the capability of finding the be
 st configuration given different high level objectives. \n\nThe school wi
 ll give an introductory course on the fundamental concept of power consump
 tion and energy efficiency in HPC systems. Then it will focuses on the mec
 hanisms that today computing elements and systems provide in terms of moni
 toring and control the power and energy dissipation. Finally it will intro
 duce and give hand ons on a set of tools for reducing the energy consumpti
 on in HPC devices.  The school is organized in four main sessions driving
  the audience from the physical and engineering principles underlying powe
 r consumption in supercomputing systems to the practical usage of state-of
 -the-art tools for monitoring and controlling the energy efficiency of sup
 ercomputing machines and workloads. The tools that will be covered are the
  MSR-SAFE (LLNL)\, MERIC (IT4I)\, COUNTDOWN (UNIBO)\, GEOPM (Intel) librar
 ies. \n\nSkills:\nBy the end of the course\, participants will be expecte
 d to:\n\n\n    have a good understanding of the principles underlying the 
 power consumption\, energy dissipation in high performance computing nodes
 \n    recognize trade-offs and implications of changing the power consumpt
 ion in scientific computing systems during the execution of scientific com
 puting applications\n    have a clear view on the state-of-the-art and of 
 practice in controlling the power consumption and energy efficiency of sup
 ercomputing nodes and processors.\n    learn the internals and the usage o
 f a set of user-space run-time libraries for controlling/optimizing the po
 wer consumption and energy efficiency in x86 computing nodes while executi
 ng user's applications.\n    learn how to use these tools for optimize the
  energy consumption of your codes.\n\n\nTarget Audience:\nResearchers\, st
 udent\, system administrator\, application developers who may wish to limi
 t the environmental impact of their computations\, as well as reducing the
  cost of energy provisioning in supercomputing system - promoting a more s
 ustainable supercomputing ecosystem.\n\nPre-requisites:\n\nKnowledge of Fo
 rtran or C/C++. Elementary notions of Linux/Unix.\nKnowledge of computing 
 architecture\nExperience in running HPC applications or systems Basic know
 ledge of parallel programming OpenMP and/or MPI \n\n \n\nGrant\n\nThe co
 urse is FREE of charge.\nThe lunch for the two days will be offered to all
  the participants and some grants are available. The only requirement to b
 e eligible is to be not funded by your institution to attend the course an
 d to work and live in an institute outside the Bologna area. The grant  w
 ill be 200 euros for students working and living outside Italy and 100 eur
 os for students working and living in Italy (outside Bologna area). Some d
 ocumentation will be required and the grant will be paid only after a cert
 ified presence of minimum 80% of the lectures.\n\nFurther information abou
 t how to request the grant\, will be provided at the confirmation of the c
 ourse: about 3 weeks before the starting date.\nhttps://events.prace-ri.eu
 /event/833/
SUMMARY:Energy Efficency in HPC @Cineca
URL;VALUE=URI:https://events.prace-ri.eu/event/833/
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