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A step‑by‑step diagnostic guide for Fortran array performance: detect temporaries, enforce contiguous layout, enable vectorization, and verify with assembly and perf counters.
Learn how to leverage Jule's hardware-aligned data structures to eliminate cache misses and improve memory throughput in performance-critical applications.
Learn how to use GCC's __attribute__((section)) and linker scripts to precisely place code and data in specific memory regions to optimize RAM and Flash usage in embedded C.
C-order vs F-order for a column-heavy reduction workload Consider a NumPy 2.x design where large 2-D float64 arrays, too big to stay in CPU cache, are produced as C-order row-major buffers. The dominant cost is a reduction along axis 0 (column-wise), repeated many times, with only occasional row-wise passes along axis 1. The documented trade-off is clear at
jule
embeddedc