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preshing.com | ||
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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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marc-b-reynolds.github.io
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| | | | | a library for constant time random-access to a pseudo-random number sequence | |
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www.pcg-random.org
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| | | | | Using the Minimal C Implementation | |
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mdanilor.github.io
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| | | A beginers guide into a Linux Kernel stack overflow vulnerability. | ||
