uxlfoundation/oneDNN
Nov 2024 – Mar 2025
3 Months active
Languages Used
C++Shell
Technical Skills
CPU OptimizationEmbedded SystemsPerformance EngineeringTestingARM ArchitectureCPU Architecture
Marek Michalowski
PROFILE
Marek Michalowski
Marek Michalowski contributed to the uxlfoundation/oneDNN repository by engineering performance and correctness improvements for ARM-based architectures. He developed and optimized AArch64 JIT SVE 1x1 convolution kernels, enabling post-operations and achieving up to 40% performance gains through careful ISA initialization and path prioritization using C++ and shell scripting. Marek also integrated bf16-accelerated convolution by dispatching operations to the Arm Compute Library, unlocking hardware-optimized math paths for aarch64. Additionally, he refined ACL-based LayerNorm for inference scenarios, aligning test behavior and deployment readiness. His work demonstrated depth in CPU optimization, embedded systems, and performance engineering across multiple code paths.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
44
Activity Months3
Your Network
582 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 performance-focused update for uxlfoundation/oneDNN. Delivered bf16-accelerated convolution on aarch64 by dispatching bf16 math mode operations to Arm Compute Library (ACL) when available, enabling hardware-optimized bf16 paths and improving performance for relevant workloads. No major bugs fixed this month; focus was on feature delivery, code-path stability, and preparing for broader ACL-based acceleration. Demonstrates cross-architecture optimization, low-level dispatch mechanics, and collaboration with ACL to unlock performance gains.
1 Commits • 1 Features
Mar 1, 2025March 2025 performance-focused update for uxlfoundation/oneDNN. Delivered bf16-accelerated convolution on aarch64 by dispatching bf16 math mode operations to Arm Compute Library (ACL) when available, enabling hardware-optimized bf16 paths and improving performance for relevant workloads. No major bugs fixed this month; focus was on feature delivery, code-path stability, and preparing for broader ACL-based acceleration. Demonstrates cross-architecture optimization, low-level dispatch mechanics, and collaboration with ACL to unlock performance gains.
March 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for uxlfoundation/oneDNN focused on AArch64 JIT SVE 1x1 convolution improvements delivering correctness fixes, performance gains, and path optimization.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for uxlfoundation/oneDNN focused on AArch64 JIT SVE 1x1 convolution improvements delivering correctness fixes, performance gains, and path optimization.
November 2024
1 Commits
Nov 1, 2024Month: 2024-11. Focused work on ensuring correct ACL-layernorm behavior for inference mode on aarch64 and aligning tests with ACL outputs. Implemented non-global statistics mode for ACL LayerNorm and removed mean/variance benchdnn checks to reflect ACL results, preparing the codebase for deployment in inference scenarios.
1 Commits
Nov 1, 2024Month: 2024-11. Focused work on ensuring correct ACL-layernorm behavior for inference mode on aarch64 and aligning tests with ACL outputs. Implemented non-global statistics mode for ACL LayerNorm and removed mean/variance benchdnn checks to reflect ACL results, preparing the codebase for deployment in inference scenarios.
November 2024
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Shell
Technical Skills
ARM ArchitectureCPU ArchitectureCPU OptimizationEmbedded SystemsJIT CompilationPerformance EngineeringPerformance OptimizationTesting
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