list 12 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais
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Les infos clés

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En résumé

Learn the fundamentals of parallel computing with the GPU and the CUDA programming environment! In this class, you'll learn about parallel programming by coding a series of image processing algorithms, such as you might find in Photoshop or Instagram. You'll be able to program and run your assignments on high-end GPUs, even if you don't own one yourself. **Why It’s Important to Think Parallel** [Third Pillar of Science][1] Learn how scientific discovery can be accelerated by combining theory and experimentation with computing to fight cancer, prevent heart attacks, and spur new advances in robotic surgery. [1]:

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Le programme

Lesson 1: GPU Programming Model

Project 1: Greyscale Conversion (for that classy touch!)

Lesson 2: GPU Hardware and Parallel Communication

Project 2: Smart Blurring (miracle product for removing wrinkles!)

Lesson 3: Fundamental Parallel Algorithms

Project 3: HDR Tonemapping (when 1000:1 contrast is not enough!)

Lesson 4: Using Sort and Scan

Project 4: Red Eye Removal (soothing relief for bright red eyes)

Lesson 5: Optimizing GPU Programs

Project 5: Accelerating Histograms (when fast isn't fast enough)

Lesson 6: Parallel Computing Patterns

Project 6: Seamless Image Compositing (polar bear in the swimming pool) ###Lesson 7: The Frontiers and Future of GPU Computing

Les intervenants

  • David Luebke - David Luebke helped found NVIDIA Research in 2006 after eight years teaching computer science on the faculty of the University of Virginia. Dave's research on real-time 3D computer graphics led to an early interest in GPU computing when that field was still in its infancy. Today Dave is senior director of graphics research and a NVIDIA Distinguished Inventor. Dave lives in central Virginia with his wife and three boys, plays racquetball and ultimate frisbee, and prefers college hoops to the NBA. Find him at his website and @davedotluebke on Twitter.
  • John Owens - John Owens is an associate professor of electrical and computer engineering at the University of California, Davis, where he leads a research group in parallel computing. He joined the faculty at UC Davis after many happy years as a student at Stanford (graduate) and Berkeley (undergraduate), and lives in Berkeley with his wife and daughter. In his free time, he enjoys puzzles, water polo, and pursuing a finite Erdős-Bacon number. John has a web page and (after his recent sabbatical at Twitter) is learning how to tweet at @jowens.

La plateforme

Udacity est une entreprise fondé par Sebastian Thrun, David Stavens, et Mike Sokolsky offrant cours en ligne ouvert et massif.

Selon Thrun, l'origine du nom Udacity vient de la volonté de l'entreprise d'être "audacieux pour vous, l'étudiant ". Bien que Udacity se concentrait à l'origine sur une offre de cours universitaires, la plateforme se concentre désormais plus sur de formations destinés aux professionnels.

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