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  1. [ ] Day 3 of Study Notes: You can’t fool the optimiser

    My notes focus on reproducing and verifying Matt Godbolt’s teaching within a local development environment

    This post specifically compares Tail Recursion vs. Standard Recursion.

    Read more here: gapry.github.io/2026/01/31/Adv

  2. [ ] Day 2 of Study Notes

    My notes focus on reproducing and verifying Matt Godbolt’s teaching within a local development environment

    Additionally, I have extended the discussion by implementing a manual PoC in assembly

    Read more here: gapry.github.io/2026/01/31/Adv

  3. [] Day 1 of Study Notes

    While the original uses , I wanted to replicate the analysis locally.

    In this post, I have used , , llvm-objdump and to analyze.

    Read more here: gapry.github.io/2026/01/01/Adv

  4. [#Compiler] Day 1 of #AoCO2025 Study Notes

    While the original uses #CompilerExplorer, I wanted to replicate the analysis locally.

    In this post, I have used #gcc, #clang, llvm-objdump and #LLDB to analyze.

    Read more here: gapry.github.io/2026/01/01/Adv

  5. [#Compiler] Day 1 of #AoCO2025 Study Notes

    While the original uses #CompilerExplorer, I wanted to replicate the analysis locally.

    In this post, I have used #gcc, #clang, llvm-objdump and #LLDB to analyze.

    Read more here: gapry.github.io/2026/01/01/Adv

  6. Dissecting the Apple M1 GPU, part I

    HN: news.ycombinator.com/item?id=2

    Dissecting the Apple M1 GPU, Part II

    HN: news.ycombinator.com/item?id=2

    Dissecting the Apple M1 GPU, Part III

    HN: news.ycombinator.com/item?id=2

    Dissecting the Apple M1 GPU, Part IV

    HN: news.ycombinator.com/item?id=2

  7. ZenithOS is a modernized fork of the 64-bit Temple Operating System

    news.ycombinator.com/item?id=2

  8. Apple Silicon Hardware: SPRR and Guarded Exception Levels (GXF)

    HN: news.ycombinator.com/item?id=2

  9. PatchELF: Simple utility for modifying existing ELF executables and libraries

    HN: news.ycombinator.com/item?id=2

  10. MLCommons Releases MLPerf Inference v1.0 Results with First Power Measurements


    mlcommons.org/en/news/mlperf-i