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cuda: optimize SOLVE_TRI using registers and FMAF (#17703)

ggml-cuda: optimize solve_tri_f32_fast and fix stride handling

Switch from using shared memory for the RHS/solution matrix to a register-based approach (x_low, x_high), reducing shared memory pressure and bank conflicts.
Implement explicit fmaf instructions for the reduction loop.
Update kernel arguments to pass strides in bytes rather than elements to align with standard ggml tensor arithmetic (casting to char * before addition).
Remove unused MAX_K_FAST definition.

Small cleanup
Remove comments in solve_tri.cu
Update ggml/src/ggml-cuda/solve_tri.cu

Co-authored-by: Johannes Gäßler johannesg@5d6.de

Update ggml/src/ggml-cuda/solve_tri.cu

Co-authored-by: Johannes Gäßler johannesg@5d6.de

Update ggml/src/ggml-cuda/solve_tri.cu

Co-authored-by: Johannes Gäßler johannesg@5d6.de

Use const for variables in solve_tri.cu
Replace fmaf with more readable code
remove last fmaf

Co-authored-by: Johannes Gäßler johannesg@5d6.de

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