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GTC ON-DEMAND

Developer - Algorithms
Presentation
Media
State of the Art in GPU Data-Parallel Algorithm Primitives
Speakers:
Mark Harris
- NVIDIA
Abstract:
Learn about the importance of optimized data-parallel algorithm primitives as building blocks for efficient real-world applications. Fundamental parallel algorithms like sorting, parallel reduction, and parallel scan are key components in a wide range of applications from video games to serious science. This session will cover the state of the art in data-parallel primitive algorithms for GPUs. Starting with an explanation of the purpose and applications of the algorithms, we will discuss key algorithm design principles, demonstrate current open source algorithm libraries for GPUs (CUDPP and Thrust), describe optimizations using new features in the Fermi architecture, and explore future directions.
 
Topics:
Developer - Algorithms, Tools & Libraries, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
S102084
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