Ask HN: Resources for getting started with bare-metal coding?
📰 Hacker News · DATACOMMANDER
Get started with bare-metal coding for HPC by learning assembly, Rust, and low-level programming concepts, and exploring modern architecture features
Action Steps
- Read the latest Intel manual to understand modern x86 architecture features
- Explore assembly language programming using tools like NASM or GAS
- Learn Rust programming language to utilize its low-level memory management and performance features
- Investigate HPC-specific libraries and frameworks like OpenMP or MPI
- Experiment with bare-metal coding using a simulator or emulator like QEMU
Who Needs to Know This
Devops engineers and low-level programmers can benefit from understanding bare-metal coding to optimize software for modern architectures and improve system performance
Key Insight
💡 Bare-metal coding requires a deep understanding of low-level programming concepts, assembly language, and modern architecture features to optimize software for high-performance computing
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🚀 Get started with bare-metal coding for HPC! Learn assembly, Rust, and low-level programming to unlock modern architecture features 🤖
Key Takeaways
Get started with bare-metal coding for HPC by learning assembly, Rust, and low-level programming concepts, and exploring modern architecture features
Full Article
Several years ago I bought a used copy of the original x86 manual and wrote a proof-of-concept OS. I’m interested in getting back into it, but with more of a focus on HPC and utilizing the more advanced features of modern architectures. Where should I start? Even back when I wrote my toy OS, the contemporary Intel manual was 10x the size of the original that I worked with. Does anyone even work with assembly anymore? (If not, how is software keeping up with hardware advances? Do newer low-level languages like Rust and Go really utilize the massive advances that have taken place?) My history: I’m a devops guy with about four years of experience in IT and about a year of experience writing Python at a professional level. My degree is in general mathematics, though I did best in the prob/stat courses (and enjoyed them more than the others). Side note: I wonder if I “33 bits”’d myself above...
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