Compiler Optimization

Itanium Wasn’t a Failure. It Was 20 Years Too Early.

Itanium didn’t fail because the hardware was bad. Its VLIW architecture demanded compiler optimizations that were combinatorially explosive — exactly the kind of problem machine learning is now learning to solve. The death spiral of poor compilers, poor performance, and low adoption wasn’t a verdict on the architecture. It was a verdict on the tools available in 2001. Two decades later, those tools are being built.

Fortran Should Be Dead. It’s Winning Instead.

Fortran shouldn’t exist in 2024. It’s older than the microchip, uglier than Python, and clunkier than Rust. Yet it runs our weather forecasts, climate models, and nuclear simulations. The reason isn’t inertia — it’s that Fortran’s restrictive design forces compiler optimizations modern languages can’t achieve. Flexibility is a tax, and the bill comes due at the silicon.