The design of a gamma spectrum analysis system accelerated by CUDA
In modern nuclear science and technology applications,γ-ray spectrum analysis is an important technique for the qualitative and quantitative analysis of radioactive isotopes.However,traditional γ-ray spectrum analysis systems faces numerous challenges while handling high-throughput data,particularly in cases where the computational workload is large and processing speed is slow,an often fail to meet practical demands.Therefore,enhancing the efficiency and accuracy of γ-ray spectrum analysis has become an urgent problem to solve.This study aims to design a γ-ray spectrum analysis system accelerated by CUDA(Compute Unified Device Architecture)to enhance the processing speed and efficiency of γ-ray spectrum analysis so as to meet the demands of high-throughput data processing.To achieve this goal,the research adopted an innovative system architecture that utilized the parallel computing capabilities of CUDA for fast processing of γ-ray spectra.Specifically,the system implemented the key steps such as spectrum smoothing,peak detection,and nuclide identification,effectively handling multiple spectra simultaneously.By distributing these computational tasks across multiple processing cores,the system completed complex calculations that would typically require more time with traditional methods.Furthermore,to validate the effectiveness of the system,multiple tests were conducted in real-world application scenarios by collecting a large volume of data to ensure the system's stability and reliability under various conditions.The test results showed that the CUDA-based γ-ray spectrum analysis system significantly improved the processing efficiency compared to traditional CPU-based methods,with a multiple-fold increase in speed.At the same time,the system maintained accuracy and stability.Overall,the CUDA-accelerated γ-ray spectrum analysis system designed in this study effectively enhances data processing efficiency through parallel computing,meets the needs of high-throughput data processing,and maintains a high level of accuracy and stability.
国家科技期刊平台
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