NNS Extended: XOR Mutation Families Enable 64-Channel Parallel Inference - 46x Effective Gain in Pointwise Convolution and 30x in Genomic Sequence Alignment on Mobile GPU

Abstract (Resumen) We extend the NNS multi-projection framework beyond the Latin Square family by introducing XOR mutation families, achieving n=64 independent outputs from a single 128-bit memory load. Four XOR masks (0x00000000, 0x55555555, 0x33333333, 0x0F0F0F0F) each generate 16 Latin Square projections, totaling 64 independent channels with zero register spilling on Adreno 740. Stride-multiplexed output eliminates the SSBO binding limit that previously capped NNS at n=16. In pointwise (1x1) convolution, NNS N=64 achieves 46.27x effective gain at +38.3% overhead. In genomic sequence alignment (8192 bases x 4096 patients x 64 diseases), NNS N=64 achieves 30.84x speedup with exact integer validation (diff=0) equivalent to 816,000 genome analyses per hour on a commodity mobile phone. A complete regime map identifies three operating conditions with empirical boundaries determined by L1 cache capacity.