Rewriting the Hot Path in Mojo
Translate the bottleneck with fn and SIMD.
Translate the Hot Path
Now take that slow Python loop and rebuild it in Mojo. You keep the same logic but gain real performance from typed, compiled code. 🔧
Reach for fn
Write the kernel as an fn function, not def. Required types let the compiler generate tight machine code for your hot loop.
fn sum_squares(data: List[Float64]) -> Float64:
var total: Float64 = 0.0
return totalAll lessons in this course
- Profiling the Python Baseline
- Rewriting the Hot Path in Mojo
- Parallelizing and Tuning the Core
- Shipping the Accelerated Project