International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
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MOJO: A Programming Review
Author(s) | Monika Gaur, Jyoti Kataria, Sahil Gupta |
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Country | India |
Abstract | MOJO combines the serviceability of python with its easy and reliable syntax with the high performance of low-level languages like C++ and JAVA. In this paper, we are describing the working features and the help we can get from mojo to build more optimized, reliable and faster algorithms to build systems in the software engineering industry which will help developers to reduce the workload from the hardware components of user’s device and to increases the user experience. |
Keywords | LLVM, MLIR, borrow checker |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-09-12 |
Cite This | MOJO: A Programming Review - Monika Gaur, Jyoti Kataria, Sahil Gupta - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27207 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.27207 |
Short DOI | https://doi.org/gwfgnz |
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E-ISSN 2582-2160
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