June 2026 performance summary for oneDNN (repo: oneapi-src/oneDNN). Focused on upgrading the xbyak_aarch64 library to improve stability and ARM optimizations. Implemented the library upgrade to v1.3.0 with enhanced error handling and CPU feature detection (FPHP), including improved register management for JIT code paths. This work strengthens ARM compatibility, reduces error scenarios, and lays groundwork for additional performance optimizations on diverse AArch64 CPUs.

April 2026 (2026-04) – oneapi-src/oneDNN Focused on expanding AArch64 performance coverage for convolutions by enabling bf16 support, augmenting brgemm paths with SVE-based formats, and enabling SVE128 for key convolution workloads. These changes improve hardware compatibility and set the foundation for higher throughput on Arm-based servers.

October 2025: Delivered AArch64 memory stride detection enhancements for oneDNN, improving robustness of GEMM-based operations on ARM64. Standardized tensor density and innermost dimension contiguity checks and enforced a default batch-dimension order, reducing runtime misalignment in matrix multiplications. These changes contribute to more reliable performance across ARM64 platforms and simplify future optimizations.

August 2025 monthly summary: Focused on delivering business value through targeted enhancements to performance testing in the oneDNN project, with a specific emphasis on aarch64 matrix-multiplication tests. This period prioritized aligning tests with real-world workloads to improve relevance, CI signal, and validation of performance optimizations. No major regressions were reported for the uxlfoundation/oneDNN repository this month. Overall, the work strengthened test reliability and accelerated feedback for performance tuning across critical architectures. Technologies and skills demonstrated include CI/test-harness optimization for aarch64, strategic test-shape selection, and traceable, commit-driven changes (#3691).