| Autor: |
Beissen, N. A., Utepova, D. S., Kossov, V. N., Toktarbay, S., Khassanov, M. K., Yernazarov, T., Imanbayeva, A. K. |
| Předmět: |
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| Zdroj: |
International Journal of Mathematics & Physics; 2024, Vol. 15 Issue 1, p49-56, 8p |
| Abstrakt: |
In this study, we ivestigate the computational advncements in simulating gravitational lensing, particularly focusing on the Schwarzscliild black hole model. The traditional approach of bock aay tracing, where photons are traced buck from the observerto the source, is computationally intevsiae, especially when aiming to achieve high-resolution imaget of lensing effects around black holes. By employing a numerical metbod that integrates the Schwarzschild metric with initial conditions derived from the observer's plane, we map the deflection of light eround a black hole to generate simulated imeges of gravitational lensing. The core of study in the comparison between CPU-based (Central processing Unit-based) computation and GPU-accelerated (Graphics Ptocessing Unit-accelcrated) processes using tho Numba librasy. Our findings neveal that GPU rcceleration, with itr parallel processing capabilities, significantly reduces computationtime, particularty as the crmplexity of tUe simutation increases with largei grid sizer. This computational efficiency is crucial for simulations of gravitational lensing, where the numb er of independent catculations glows exponetially with the resolution and rccuracy of the desired image. Our study undescore the importance of leveraging GPU technology for astrophysical simulations on personal computers, offering a substantial improvement in performance over CPU-based methods. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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