Open AccessProceedings Article
The ability to use parallel programing on graphics processor unit in digital signal processing
Filip Misiorek,Adam Dabrowski,Pawel Pawlowski +2 more
- 01 Sep 2008
- pp 225-228
TL;DR: Methods of parallel programming on graphics processor unit (GPU) and usefulness of NVIDIA's SDK CUDA (Compute Unified Device Architecture) are described and considered, which make GPGPU easier.
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Abstract: In this paper we present methods of parallel programming on graphics processor unit (GPU) We describe and consider usefulness of NVIDIA's SDK CUDA (Compute Unified Device Architecture), which make GPGPU easier Finally we try to estimate potential capacity of new graphics processors and also look closer for edge detection example program
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Citations
•Journal Article
Fast and accurate digital signal processing realized with GPGPU technology
TL;DR: An idea of the so-called quasi-maximum accuracy computations for improvement of precision of the floating-point digital signal processing with graphic processing units (GPUs) is presented and the maximum accuracy has been analyzed and technically realized with no additional costs in hardware and computation time.
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•Proceedings Article
Efficient use of graphics cards in implementation of parallel image processing algorithms
Filip Misiorek,Mateusz Stankiewicz,Pawel Pawlowski,Adam Dabrowski +3 more
- 16 Jun 2011
TL;DR: This paper has considered and analyzed various GPU's taking their standing development into account and implemented a number of most typical image processing tasks and algorithms and estimated the capacity growth of GPU's but also the corresponding growth of performance especially for the parallel image processing.
3
•Proceedings Article
Quasi-maximum accuracy floating-point computations with GPGPU for applications in digital signal processing
Adam Dabrowski,Pawel Pawlowski,Mateusz Stankiewicz,Filip Misiorek +3 more
- 01 Sep 2011
TL;DR: An idea of the use of two accumulators for improvement of the precision of floating-point computations with graphic processing units (GPUs) and the so-called maximum accuracy property has been analyzed and technically realized with no additional costs in hardware and computation time.
1
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