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How to Optimize your Rust Program for Slowness
- The article explores slowing down Rust programs to run for an exceedingly long time, defying conventional optimization principles.
- Through rule sets, the author demonstrates how simple Rust programs can execute for extremely long durations.
- Challenges like running programs longer than the universe's expected lifespan are highlighted using nested loops.
- The article delves into Turing machines under specific constraints, highlighting the theoretical lengths they can run.
- A Rust program simulating a Turing machine's behavior is detailed, showcasing the immense time it runs before halting.
- The write-up introduces a Rust program that computes tetration, demonstrating operations like increment, add, multiply, exponentiate, and tetrate.
- The article methodically constructs these operations to ensure the program runs for a minimum duration of 10^15 steps.
- Optimizations, including SIMD usage and visualization techniques, are later discussed to enhance the Rust programs' performance.
- The author ingeniously optimizes the visualization process, leveraging temporal coherence to boost efficiency.
- Parallelism challenges in rendering videos are addressed, leading to a significant improvement in resource utilization and visualization speed.
- The narrative concludes by juxtaposing strategies to slow down programs with techniques to accelerate their performance, showcasing the diverse aspects of programming exploration.
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