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DTSTAMP:20260706T123241Z
UID:e3e9da37-5a52-4459-aa3e-e5e1dc0a7388
DTSTART:20180716T070000Z
DTEND:20180720T150000Z
DESCRIPTION:The Barcelona Supercomputing Center (BSC) in association with U
 niversitat Politecnica de Catalunya (UPC) has been awarded by NVIDIA as a 
 GPU Center of Excellence. BSC and UPC currently offer a number of courses 
 covering CUDA architecture and programming languages for parallel computin
 g. Please contact us for possible collaborations.\n\nThe ninth edition of 
 the Programming and Tuning Massively Parallel Systems + Artificial Intelli
 gence summer school (PUMPS+AI) is aimed at enriching the skills of resear
 chers\, graduate students and teachers with cutting-edge technique and han
 ds-on experience in developing applications for many-core processors with 
 massively parallel computing resources like GPU accelerators.\n\n\n	Summer
  School Co-Directors: Mateo Valero (BSC and UPC) and Wen-mei Hwu (Universi
 ty of Illinois at Urbana-Champaign)\n	\n	\n	Local Organizers: Antonio J. P
 eña (responsible\, BSC and UPC)\, and Pau Farre (BSC)\n	\n	\n	Dates:\n\n
 	\n		Applications due: May 31\, 2018\n\n		\n			Due to space limitations\, 
 early application is strongly recommended. You may also be suggested to at
 tend an online prerequisite training on basic CUDA programming before join
 ing PUMPS.\n			\n		\n		\n		Notification of acceptance: June 12\, 2018\n		\
 n		\n		Hackathon day: 15 July (only for selected applicants)\n		\n		\n		S
 ummer school: 16-20 July\n		\n	\n\n	Location: Barcelona Supercomputing Cen
 ter\, Computer Architecture Dept. at Universitat Politecnica de Catalunya\
 , Barcelona\, Spain\n	\n\n	Organized by:\n\n	\n		Barcelona Supercomputing 
 Center (BSC)\n		\n		\n		University of Illinois at Urbana-Champaign (Univer
 sity of Illinois)\n		\n		\n		Universitat Politecnica de Catalunya (UPC)\n	
 	\n		\n		HiPEAC Network of Excellence (HiPEAC)\n		\n		\n		PUMPS is part of
  this year PRACE Advanced Training Centre program\n		\n	\n\n	The following
  is a list of some of the topics that will be covered during the course:\n
 \n	\n		Deep Learning\n		\n		\n		High-level programming models (OpenACC\, P
 ython\, and Mathematica on GPUs)\n		\n		\n		CUDA Algorithmic Optimization 
 Strategies\n		\n		\n		Dealing with Sparse and Dynamic data\n		\n		\n		Effi
 ciency in Large Data Traversal\n		\n		\n		Reducing Output Interference\n		
 \n		\n		Controlling Load Imbalance and Divergence\n		\n		\n		Acceleration 
 of Collective Operations\n		\n		\n		Dynamic Parallelism and HyperQ\n		\n		
 \n		Debugging and Profiling CUDA Code\n		\n		\n		Multi-GPU Execution\n		\n
 		\n		Architecture Trends and Implications\n		\n		\n		Introduction to OmpS
 s and to the Paraver analysis tool\n		\n		\n		OmpSs: Leveraging GPU/CUDA P
 rogramming\n		\n		\n		Hands-on Labs: CUDA Optimizations on Scientific Code
 s\; OmpSs Programming and Tuning\n		\n	\n\n	Instructors:\n\n	\n		Distingui
 shed Lecturers: Wen-mei Hwu (University of Illinois at Urbana-Champaign) a
 nd David Kirk (NVIDIA Corporation )\n		\n		\n		Invited Lecturer: Juan Góm
 ez-Luna (Universidad de Córdoba)\n		\n		\n		BSC / UPC Lecturers: Antonio 
 J. Peña\, Xavier Martorell and Xavier Teruel\n		\n		\n		Teaching Assistan
 ts:\n\n		\n			UIUC: Carl Pearson\, Simon Garcia de Gonzalo\, Mert Hidayeto
 glu\n			\n			\n			BSC/UPC: Marc Jorda\, Pau Farre\, Ivan Martinez\, Aimar 
 Rodriguez\n			\n		\n	\n\n	Hackathon:\n\n	\n		Juan Gómez-Luna (Universidad
  de Córdoba)\n		\n		\n		Pedro Valero (BSC)\n		\n	\n\n	Prerequisites for t
 he course are:\n\n	\n		Basic CUDA knowledge is required to attend the cour
 se. Applicants that cannot certify their experience in CUDA programming wi
 ll be asked to take a short on-line course covering the necessary introduc
 tory topics\n		\n		\n		C\, C++\, Java\, or equivalent programming knowledg
 e. Skills in parallel programming will be helpful\n		\n	\nPreliminary Over
 view\n\n\n	Registration for the course is free for attendees from academia
  and public institutions. Please note that travel\, lodging\, and meals ar
 e not covered. Applicants from non-academic institutions (companies)\, ple
 ase contact us at pumps@bsc.es for sponsorship possibilities.\n	\n\n	By t
 he end of the summer school\, participants will:\n\n	\n		Be able to design
  algorithms that are suitable for accelerators.\n		\n		\n		Understand the 
 most important architectural performance considerations for developing par
 allel applications.\n		\n		\n		Be exposed to computational thinking skills
  for accelerating applications in science and engineering.\n		\n		\n		Enga
 ge computing accelerators on science and engineering breakthroughs.\n		\n	
 \n\n	Programming Languages: CUDA\, MPI\, OmpSs\n	\n	\n	Hands-on Labs: Afte
 rnoon labs with teaching assistants for each audience/level.\n\n	\n		Parti
 cipants are expected to bring their own laptops to access the servers with
  GPU accelerators.\n		\n		\n		The afternoon lab sessions will provide hand
 s-on experience with various languages and tools covered in the lectures a
 nd will comprise a brief introduction to the programming assignments\, fol
 lowed by independent work periods. Teaching assistants will be available i
 n person and on the web to help with assignments.\n		\n	\n\n\nhttps://even
 ts.prace-ri.eu/event/731/
SUMMARY:9th Programming and Tuning Massively Parallel Systems summer school
  (PUMPS)@BSC - UPC
URL;VALUE=URI:https://events.prace-ri.eu/event/731/
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