Hi all, While experimenting with some backend costs for Advanced SIMD and SVE I hit many cases where GCC would pick SVE for VLA auto-vectorisation even when the backend very clearly presented cheaper costs for Advanced SIMD. For a simple float addition loop the SVE costs were:
vec.c:9:21: note: Cost model analysis: Vector inside of loop cost: 28 Vector prologue cost: 2 Vector epilogue cost: 0 Scalar iteration cost: 10 Scalar outside cost: 0 Vector outside cost: 2 prologue iterations: 0 epilogue iterations: 0 Minimum number of vector iterations: 1 Calculated minimum iters for profitability: 4 and for Advanced SIMD (Neon) they're: vec.c:9:21: note: Cost model analysis: Vector inside of loop cost: 11 Vector prologue cost: 0 Vector epilogue cost: 0 Scalar iteration cost: 10 Scalar outside cost: 0 Vector outside cost: 0 prologue iterations: 0 epilogue iterations: 0 Calculated minimum iters for profitability: 0 vec.c:9:21: note: Runtime profitability threshold = 4 yet the SVE one was always picked. With guidance from Richard this seems to be due to the vinfo comparisons in vect_better_loop_vinfo_p, in particular the part with the big comment explaining the estimated_rel_new * 2 <= estimated_rel_old heuristic. This patch extends the comparisons by introducing a three-way estimate kind for poly_int values that the backend can distinguish. This allows vect_better_loop_vinfo_p to ask for minimum, maximum and likely estimates and pick Advanced SIMD overs SVE when it is clearly cheaper. Bootstrapped and tested on aarch64-none-linux-gnu. Manually checked that with reasonable separate costs for Advanced SIMD and SVE GCC picks up one over the other in ways I'd expect. Ok for trunk? Thanks, Kyrill gcc/ * target.h (enum poly_value_estimate_kind): Define. (estimated_poly_value): Take an estimate kind argument. * target.def (estimated_poly_value): Update definition for the above. * doc/tm.texi: Regenerate. * tree-vect-loop.c (vect_better_loop_vinfo_p): Use min, max and likely estimates of VF to pick between vinfos. * config/aarch64/aarch64.c (aarch64_cmp_autovec_modes): Use estimated_poly_value instead of aarch64_estimated_poly_value. (aarch64_estimated_poly_value): Take a kind argument and handle it.
vect-estimate.patch
Description: vect-estimate.patch