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DTSTAMP:20260707T090758Z
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DTSTART:20160704T070000Z
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DESCRIPTION:All PATC Courses at BSC do not charge fees.\n\nPLEASE BRING YOU
 R OWN LAPTOP.\n\nLocal Web Page:http://www.bsc.es/cuda-introduction-patc\n
 \nThis course will provide very good introduction to the PUMPS Summer Scho
 ol run jointly with NVIDIA - 11-15 July also  at Campus Nord\, Barcelona.
  For further information visit the school website.\nConvener: \nAntonio P
 ena\, BSC\nActing Director\,\nNVIDIA GPU Center of Excellence\n\nObjective
 s: \n\nThe aim of this course is to provide students with knowledge and h
 ands-on experience in developing applications software for processors with
  massively parallel computing resources. In general\, we refer to a proces
 sor as massively parallel if it has the ability to complete more than 64 a
 rithmetic operations per clock cycle. Many commercial offerings from NVIDI
 A\, AMD\, and Intel already offer such levels of concurrency. Effectively 
 programming these processors will require in-depth knowledge about paralle
 l programming principles\, as well as the parallelism models\, communicati
 on models\, and resource limitations of these processors.\n\nAgenda: \n\n
 July 4   \n09:00    The Basics\n10:45    Coffe Break\n11:15   
  Parallelism Model\n13:00    Lunch Break\n14:00    Memory and Data L
 ocality\n15:45    Coffe Break\n16:15    Efficiency and Performance C
 onsiderations\n18:00    Adjourn\n   July 5   \n09:00    Atomic
 s and Histogramming\n10:00    Reductions\n10:45    Coffe Break\n11:1
 5    Architectural Considerations\n12:00    Efficient Host-Device Da
 ta Transfers\n13:00    Lunch Break\n14:00    OpenACC and Other Appro
 aches to GPU Computing\n15:45    Coffe Break\n16:15    Pascal &amp\;
  CUDA 8.0\n17:00    Lab: Getting Started\n18:00    Adjourn\n   Ju
 ly 6   \n09:00    Lab: Simple Matrix-Matrix Multiplication\n10:45 
    Coffe Break\n11:15    Lab: Tiled Matrix-Matrix Multiplication\n13:
 00    Lunch Break\n14:00    Lab: Histogram\n15:45    Coffe Break\
 n16:15    Lab: Reduction\n18:00    AdjournEnd of Course\n \n\nThe t
 arget audiences of the course are students who want to develop exciting ap
 plications for these processors\, as well as those who want to develop pro
 gramming tools and future implementations for these processors.\n\nLevel: 
 (All courses are designed for specialists with at least 1st cycle degree o
 r similar background experience)\nBEGINNERS: for trainees from different b
 ackground or very little knowledge.\n\nhttps://events.prace-ri.eu/event/50
 1/
SUMMARY:Introduction to CUDA Programming@BSC
URL;VALUE=URI:https://events.prace-ri.eu/event/501/
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