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GTC ON-DEMAND

Developer - Algorithms
Presentation
Media
Task Management for Irregular Workloads on the GPU
Speakers:
Stanley Tzeng
- University of California, Davis
Abstract:
We explore software mechanisms for managing irregular tasks on graphics processing units. Traditional GPU programming guidelines teaches us how to efficiently program the GPU for data parallel pipelines with regular input and output. We present a strategy for solving task parallel pipelines which can handle irregular workloads on the GPU. We demonstrate that dynamic scheduling and efficient memory management are critical problems in achieving high efficiency on irregular workloads. We showcase our results on a real time Reyes rendering pipeline.
 
Topics:
Developer - Algorithms
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10A06
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