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CORR
2010
Springer

Fast Histograms using Adaptive CUDA Streams

13 years 3 months ago
Fast Histograms using Adaptive CUDA Streams
Histograms are widely used in medical imaging, network intrusion detection, packet analysis and other streambased high throughput applications. However, while porting such software stacks to the GPU, the computation of the histogram is a typical bottleneck primarily due to the large impact on kernel speed by atomic operations. In this work, we propose a stream-based model implemented in CUDA, using a new adaptive kernel that can be optimized based on latency hidden CPU compute. We also explore the tradeoffs of using the new kernel vis-
Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasim
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CORR
Authors Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasimhan, Babu Narayanan
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