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Logo](https://github.com/dyGiLa/Images/blob/main/reposity-readme-logo-pic.png)\n\n[![Home Page](https://img.shields.io/badge/Home-Website-blue?style=plastic\u0026logo=Google-Chrome\u0026logoColor=white)](https://dygila.github.io)\n[![YouTube Channel](https://img.shields.io/badge/YouTube-Channel-red?style=plastic\u0026logo=YouTube\u0026logoColor=white)](https://www.youtube.com/@Superfluid-Field-Sim)\n[![Releases](https://img.shields.io/github/v/release/dyGiLa/dyGiLa?style=plastic\u0026logo=GitHub)](https://github.com/dyGiLa/dyGiLa/releases)\n[![Contributors](https://img.shields.io/github/contributors/dyGiLa/dyGiLa?style=plastic\u0026logo=GitHub)](https://github.com/dyGiLa/dyGiLa/graphs/contributors)\n\n\nThe dyGiLa project is an effort to apply algorithms of lattice field theory\nand enabling GPU-CPU hybrid technologies with C++ fashion for efficient HPC simulation of\nlarge-scale, 3-dimensional tensor-valued p-wave Ginzburg-Landau effective theory.\n\n### Documentation\n\n- [Dependencies and Compilation](https://dygila.github.io/install)\n\n- [Benchmarks](https://dygila.github.io/benchmark)\n\n\n### License\n\ndyGiLa is licensed on under GPL-v2 license. \n\n### Contributing\n\nWe appreciate your willingness to contribute to the dyGiLa project. 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