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http://hdl.handle.net/20.500.12188/32232
Наслов: | CUDA Calculation of Shannon Entropy for a Sliding Window System | Authors: | Velichkovski, Gordon Gusev, Marjan Mileski, Dimitar |
Keywords: | Uncertainty , Graphics processing units , Entropy , Complexity theory , Telecommunications , Parallel architectures , Optimization | Issue Date: | 26-ное-2024 | Publisher: | IEEE | Conference: | 2024 32nd Telecommunications Forum (TELFOR) | Abstract: | Entropy algorithms are crucial in fields where assessing randomness, uncertainty, or complexity is vital. As datasets grow, efficient entropy calculations become important. This work explores the parallelization of Shannon entropy calculations, using GPU acceleration through CUDA for sliding window systems. By leveraging GPUs’ parallel architecture, the approach achieves up to 15x speedup for large datasets. However, smaller datasets show limited improvements due to overhead, underscoring the need for optimization to harness GPU acceleration’s potential. | URI: | http://hdl.handle.net/20.500.12188/32232 | DOI: | 10.1109/telfor63250.2024.10819103 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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CUDA Calculation of Shannon Entropy for a Sliding Window System - accepted version.pdf | 248.6 kB | Adobe PDF | View/Open |
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