makewfs 2.1.0

Performance

• Pruned FFTs on CPU and GPU. Shack-Hartmann spots and the pyramid
  transform only the FFT lines that hold data and keep only the cropped
  output lines; the pyramid applies its mask on the unshifted grid instead of
  shifting four full grids per state. CPU results are unchanged (bit-identical
  in 451 of 468 arrays of a before/after matrix, otherwise within 2.5e-7
  relative in float32).
• CUDA-graph replay of the pyramid. On a GPU the pyramid's fixed-shape
  propagation is captured once and replayed with one launch.
• Compiled CUDA executor for integer-FFT Shack-Hartmann grids, which
  previously ran the array path. Results agree to float rounding.
• End-to-end frames/s on an Ampere Neoverse-N1 (12 cores) and an RTX 4060,
  2.0.0 -> now: SH 20x20 float32 CPU 38.5 -> 126.1 (3.3x), GPU 496 -> 813
  (1.6x); SH 60x60 float64 CPU 10.4 -> 29.8 (2.9x), GPU 199 -> 640 (3.2x);
  nine-sample SH CPU 52.0 -> 96.3 (1.9x), GPU 189 -> 764 (4.1x); pyramid 40
  CPU 923 -> 1,101 (1.2x), GPU 397 -> 759 (1.9x); pyramid 60 mod-8 CPU 173 ->
  272 (1.6x), GPU 408 -> 762 (1.9x); pyramid 80 mod-32 float64 CPU 11.4 ->
  20.9 (1.8x), GPU 204 -> 277 (1.4x). See docs/performance.md.

Fixed

• Compiled CUDA Shack-Hartmann executor misread float32 rotated or offset
  lenslet grids. Such grids resample the OPD in float32, but the kernel read
  it as float64, so the GPU spot pattern was wrong (82-96% error). The OPD is
  now widened (exactly) before the launch.

• Compiled CUDA Shack-Hartmann executor failed to launch for large
  lenslet sampling (e.g. 32x32 samples, 1024 threads) when register use left
  fewer threads per block. Such geometries now fall back to the array path.

• Benchmark artifacts named the wrong GPU on multi-GPU hosts.
  benchmarks/run.py recorded the first line of nvidia-smi, which ignores
  CUDA_VISIBLE_DEVICES. It now asks CuPy for the device the run used. On
  Arm hosts, whose /proc/cpuinfo has no model name, it reads the CPU model
  from lscpu (e.g. Neoverse-N1) instead of reporting aarch64.

Added

• Arm benchmark data point (benchmarks/device-results-neoverse-n1.*): the
  device table on an Ampere Neoverse-N1 host (16 pinned cores) with an RTX
  4060 and an RTX A400.