This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
A GPU Task-Parallel Model with Dependency Resolution
August 2012 (vol. 45 no. 8)
pp. 34-41
Stanley Tzeng, University of California, Davis
Brandon Lloyd, Microsoft
John D. Owens, University of California, Davis
A task-parallel approach to programming commodity graphics hardware is useful for implementing irregular parallel workloads with dependencies, particularly for applications such as video encoding and backtracking algorithms. The featured Web extra is a video that demonstrates how to use a GPU task-parallel model for H.264 intra prediction. The authors first describe the dependency structure and then how to map parallel work units to a problem. YouTube URL: http://youtu.be/K4VB1h4xres
Index Terms:
Graphics processing unit,Programming,Hardware,Encoding,Prediction algorithms,Predictive models,Youtube,Multithreading,multithreading,massively threaded systems,graphics processors,parallel processing,video coding,GPU,CPU
Citation:
Stanley Tzeng, Brandon Lloyd, John D. Owens, "A GPU Task-Parallel Model with Dependency Resolution," Computer, vol. 45, no. 8, pp. 34-41, Aug. 2012, doi:10.1109/MC.2012.255
Usage of this product signifies your acceptance of the Terms of Use.