perf: vectorize CPU bottlenecks with vDSP and cblas#32
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alvgeppetto-debug wants to merge 1 commit intomaderix:mainfrom
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perf: vectorize CPU bottlenecks with vDSP and cblas#32alvgeppetto-debug wants to merge 1 commit intomaderix:mainfrom
alvgeppetto-debug wants to merge 1 commit intomaderix:mainfrom
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- Vectorize adam_update with vDSP batch ops (stories_cpu_ops.h) Replaces scalar per-element loop with vDSP_vsmul/vsma/vsq/vdiv Expected ~3-4x faster for 2.4M parameter updates - Vectorize model_adam_step ADAM_UPDATE macro with vDSP (backward.h) Same batch ops pattern for the train.m model pipeline - Replace cpu_accum_dW with cblas_sgemm (backward.h) dW += dy^T @ x is a standard BLAS GEMM operation Expected 5-10x faster for weight gradient accumulation - Replace cpu_matmul_backward_dx with cblas_sgemm (backward.h) dx = dy @ W^T is also a standard BLAS GEMM - Add -framework Accelerate to train target (Makefile)
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Benchmark ResultsHardware: Apple M3 Ultra (28-core CPU, 96 GB RAM, 31.6 TFLOPS peak ANE dual-die)
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Mar 4, 2026
…ion (adapted from upstream PR maderix#32)
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Vectorize CPU bottlenecks in the training loop using Accelerate framework.
Changes:
Both make train and make train_large compile cleanly on macOS.