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DTSTAMP:20260708T081153Z
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DESCRIPTION:Annotation\n\nThe CUDA computing platform enables the accelerat
 ion of CPU-only applications to run on the world’s fastest massively par
 allel GPUs. You experience C/C++ application acceleration by:\n\n\n	Accele
 rating CPU-only applications to run their latent parallelism on GPUs\n	Uti
 lizing essential CUDA memory management techniques to optimize accelerated
  applications\n	Exposing accelerated application potential for concurrency
  and exploiting it with CUDA streams\n	Leveraging command line and visual 
 profiling to guide and check your work.\n\n\nThis training is a part of NV
 IDIA AI &amp\; HPC ACADEMY 2020.\n\nThe lectures are interleaved with many
  hands-on sessions using Jupyter Notebooks. The exercises will be done on 
 a fully configured GPU-accelerated workstation in the cloud.\n\nThe worksh
 op is co-organized by LRZ\, IT4Innovations and NVIDIA Deep Learning Instit
 ute (DLI) for the Partnership for Advanced Computing in Europe (PRACE). Bo
 th IT4Innovations and LRZ\, as part of GCS\, are PRACE Training Centres\, 
 serve as European hubs and key drivers of advanced high-quality training f
 or researchers working in the computational sciences.\n\nNVIDIA DLI offers
  hands-on training for developers\, data scientists\, and researchers look
 ing to solve challenging problems with deep learning.\n\nAll instructors a
 re NVIDIA certified University Ambassadors.\n\nLevel\n\nBeginner\n\nLangua
 ge\n\nEnglish\n\nPurpose of the course\n\nUpon completion\, you will be ab
 le to accelerate and optimize existing C/C++ CPU-only applications using t
 he most essential CUDA tools and techniques. You will understand an iterat
 ive style of CUDA development that will allow you to ship accelerated appl
 ications fast.\n\nAbout the tutor\n\nDr. Momme Allalen received his Ph.D. 
 in theoretical Physics from the University of Osnabrück in 2006. He worke
 d in the field of molecular magnetics through modelling techniques such as
  the exact numerical diagonalisation of the Heisenberg model. He joined th
 e Leibniz Computing Centre (LRZ) in 2007 working in the High Performance C
 omputing group. His tasks include user support\, optimisation and parallel
 isation of scientific application codes\, and benchmarking for characteris
 ing and evaluating the performance of high-end supercomputers. Momme is an
  NVIDIA DLI certified instructor for Fundamentals of Accelerated Computing
  with CUDA C/C++. His research interests are various aspects of parallel c
 omputing and new programming languages and paradigms on novel HPC architec
 tures.\n\nNVIDIA Deep Learning Institute\n\nThe NVIDIA Deep Learning Insti
 tute delivers hands-on training for developers\, data scientists\, and eng
 ineers. The program is designed to help you get started with training\, op
 timizing\, and deploying neural networks to solve real-world problems acro
 ss diverse industries such as self-driving cars\, healthcare\, online serv
 ices\, and robotics.\n\nAcknowledgement\n\nThis event was partially suppor
 ted by The Ministry of Education\, Youth and Sports from the Large Infrast
 ructures for Research\, Experimental Development and Innovations project "
 e-Infrastruktura CZ – LM2018140“ and partially by the PRACE-6IP projec
 t - the European Union’s Horizon 2020 research and innovation programme 
 under grant agreement No. 823767. We would like to also thank Bayncore Lab
 s for their contributions to this event.\n\n   \nhttps://events.prace-ri
 .eu/event/970/
SUMMARY:Fundamentals of Accelerated Computing with CUDA C/C++ @ IT4Innovati
 ons
URL;VALUE=URI:https://events.prace-ri.eu/event/970/
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