Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method
With the rapidly increasing rate of microlensing planet detections, microlensing modeling software faces significant challenges in computation efficiency. Here, we develop the Twinkle code, an efficient and robust binary-lens modeling software suite optimized for heterogeneous computing devices, esp...
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| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | The Astrophysical Journal Supplement Series |
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| Online Access: | https://doi.org/10.3847/1538-4365/ad9b8d |
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| author | Suwei Wang Lile Wang Subo Dong |
| author_facet | Suwei Wang Lile Wang Subo Dong |
| author_sort | Suwei Wang |
| collection | DOAJ |
| description | With the rapidly increasing rate of microlensing planet detections, microlensing modeling software faces significant challenges in computation efficiency. Here, we develop the Twinkle code, an efficient and robust binary-lens modeling software suite optimized for heterogeneous computing devices, especially GPUs. Existing microlensing codes have the issue of catastrophic cancellation that undermines the numerical stability and precision, and Twinkle resolves them by refining the coefficients of the binary-lens equation. We also devise an improved method for robustly identifying ghost images, thereby enhancing computational reliability. We have advanced the state of the art by optimizing Twinkle specifically for heterogeneous computing devices by taking into account the unique task and cache memory dispatching patterns of GPUs, while the compatibility with the traditional computing architectures of CPUs is still maintained. Twinkle has demonstrated an acceleration of approximately 2 orders of magnitude (≳10 ^2 ×) on contemporary GPUs. The enhancement in computational speed of Twinkle will translate to the delivery of accurate and highly efficient data analysis for ongoing and upcoming microlensing projects. Both GPU and CPU versions of Twinkle are open-source and publicly available. |
| format | Article |
| id | doaj-art-3589cdf5bbfa426281344948f062a67d |
| institution | Kabale University |
| issn | 0067-0049 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal Supplement Series |
| spelling | doaj-art-3589cdf5bbfa426281344948f062a67d2025-01-15T08:43:34ZengIOP PublishingThe Astrophysical Journal Supplement Series0067-00492025-01-0127624010.3847/1538-4365/ad9b8dTwinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration MethodSuwei Wang0https://orcid.org/0009-0008-3668-9045Lile Wang1https://orcid.org/0000-0002-6540-7042Subo Dong2https://orcid.org/0000-0002-1027-0990The Kavli Institute for Astronomy and Astrophysics, Peking University , Beijing 100871, People’s Republic of China ; suwei_wang@stu.pku.edu.cn, lilew@pku.edu.cn; Department of Astronomy, School of Physics, Peking University , Beijing 100871, People’s Republic of China ; dongsubo@pku.edu.cnThe Kavli Institute for Astronomy and Astrophysics, Peking University , Beijing 100871, People’s Republic of China ; suwei_wang@stu.pku.edu.cn, lilew@pku.edu.cn; Department of Astronomy, School of Physics, Peking University , Beijing 100871, People’s Republic of China ; dongsubo@pku.edu.cnThe Kavli Institute for Astronomy and Astrophysics, Peking University , Beijing 100871, People’s Republic of China ; suwei_wang@stu.pku.edu.cn, lilew@pku.edu.cn; Department of Astronomy, School of Physics, Peking University , Beijing 100871, People’s Republic of China ; dongsubo@pku.edu.cn; National Astronomical Observatories, Chinese Academy of Science , Beijing 100101, People’s Republic of ChinaWith the rapidly increasing rate of microlensing planet detections, microlensing modeling software faces significant challenges in computation efficiency. Here, we develop the Twinkle code, an efficient and robust binary-lens modeling software suite optimized for heterogeneous computing devices, especially GPUs. Existing microlensing codes have the issue of catastrophic cancellation that undermines the numerical stability and precision, and Twinkle resolves them by refining the coefficients of the binary-lens equation. We also devise an improved method for robustly identifying ghost images, thereby enhancing computational reliability. We have advanced the state of the art by optimizing Twinkle specifically for heterogeneous computing devices by taking into account the unique task and cache memory dispatching patterns of GPUs, while the compatibility with the traditional computing architectures of CPUs is still maintained. Twinkle has demonstrated an acceleration of approximately 2 orders of magnitude (≳10 ^2 ×) on contemporary GPUs. The enhancement in computational speed of Twinkle will translate to the delivery of accurate and highly efficient data analysis for ongoing and upcoming microlensing projects. Both GPU and CPU versions of Twinkle are open-source and publicly available.https://doi.org/10.3847/1538-4365/ad9b8dGravitational microlensing exoplanet detectionBinary lens microlensingFinite-source photometric effectGPU computingOpen source software |
| spellingShingle | Suwei Wang Lile Wang Subo Dong Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method The Astrophysical Journal Supplement Series Gravitational microlensing exoplanet detection Binary lens microlensing Finite-source photometric effect GPU computing Open source software |
| title | Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method |
| title_full | Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method |
| title_fullStr | Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method |
| title_full_unstemmed | Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method |
| title_short | Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method |
| title_sort | twinkle a gpu based binary lens microlensing code with the contour integration method |
| topic | Gravitational microlensing exoplanet detection Binary lens microlensing Finite-source photometric effect GPU computing Open source software |
| url | https://doi.org/10.3847/1538-4365/ad9b8d |
| work_keys_str_mv | AT suweiwang twinkleagpubasedbinarylensmicrolensingcodewiththecontourintegrationmethod AT lilewang twinkleagpubasedbinarylensmicrolensingcodewiththecontourintegrationmethod AT subodong twinkleagpubasedbinarylensmicrolensingcodewiththecontourintegrationmethod |