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imapenguin.com | ||
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sergioprado.blog
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| | | | | In this article, we will deep dive into the major concepts behind random numbers and learn how to work with them on a Linux system. | |
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blog.gistre.epita.fr
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| | | | | This article explores the world of random number generation in embedded systems, covering both pseudo-random number generators (PRNGs) and hardware-based random number generators (HRNGs). It explains their principles, provides examples of code, discusses their advantages and limitations, and highlights their applications in embedded systems. | |
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nullprogram.com
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| | | | | [AI summary] The article discusses various 64-bit pseudo-random number generators (PRNGs) for use in simulations and programming, comparing their performance and quality. It highlights the xoroshiro128+ algorithm as the best 64-bit simulation PRNG due to its speed and quality. The article also covers other PRNGs like PCG, RC4, and xorshift variants, noting their trade-offs and use cases. It emphasizes the importance of proper seeding and the potential for platform-specific differences in performance. | |
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loup-vaillant.fr
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| | | Despite advice to the contrary, I have implemented my own crypto for serious use. Here's how. | ||
