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Breanna Devore-McDonald

PROFILE

Breanna Devore-mcdonald

Breanna Devore-McDonald contributed to the ROCm/AMDMIGraphX and ROCm/rocMLIR repositories, focusing on feature development and performance optimization over six months. She engineered enhancements such as GEMM-GEMM fusion with rocMLIR integration, advanced attention mechanisms, and robust dependency management, leveraging C++, Python, and CMake. Her work included optimizing GPU-accelerated deep learning operations, refining build system configuration, and improving CI/CD reliability. By modernizing dependencies and introducing test-driven validation, Breanna enabled smoother onboarding, broader hardware compatibility, and higher throughput for long-sequence inference. Her technical approach emphasized maintainability and cross-platform reliability, demonstrating depth in compiler development, graph optimization, and machine learning workflows.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

11Total
Bugs
0
Commits
11
Features
10
Lines of code
4,876
Activity Months6

Your Network

1493 people

Work History

January 2026

2 Commits • 2 Features

Jan 1, 2026

Month: 2026-01 — ROCm/AMDMIGraphX monthly summary focusing on business value and technical achievements. Delivered two key enhancements: (1) Flash decoding optimization for attention fusion enabling automatic splitting and padding of long key-value sequences to boost performance; (2) Skip macro for test framework to improve test reporting and organization. No major bugs fixed this month. Impact: improved long-sequence inference throughput, clearer CI/test results, and improved maintainability. Technologies demonstrated: C++, GPU-accelerated optimization, macro-based test framework extension, issue tracking with AIMIGRAPHX-289/341/467.

November 2025

3 Commits • 2 Features

Nov 1, 2025

Monthly summary for 2025-11: Key work on ROCm/AMDMIGraphX focusing on graph execution robustness and attention mechanism enhancements. Delivered external inputs hoisting, FP32 GEMM compatibility gating for Navi GPUs, and a refactor of topological sorting to boost graph execution efficiency. Added flash decoding with split KV and Grouped Query Attention (GQA), updated attention fusion to support multiple splits, introduced new environment variables and tests, and performed a clarifying reorder of attention struct members. These changes improve GPU compatibility, performance, and maintainability, delivering tangible business value by enabling broader hardware support, higher throughput, and more robust attention paths.

October 2025

2 Commits • 2 Features

Oct 1, 2025

Monthly summary for 2025-10 focusing on features delivered, major fixes, impact, and skills demonstrated across ROCm repos. Key features delivered this month: - GEMM-GEMM Fusion with rocMLIR Integration in ROCm/AMDMIGraphX: introduced a new GEMM+GEMM fusion pattern with an intervening element-wise op, integrated with rocMLIR. Added a new environment variable to control the fusion and introduced tests to validate correctness and stability. (Commit: b3b6dfdc2a6d1ea5f3c15ebe59d938ec41b9363c) - G+G operation problem configurations for tier 1 models in ROCm/rocMLIR: expanded problem configurations including data types, transpositions, and matrix dimensions for fp32 and fp16 variants, broadening performance testing and profiling capabilities. (Commit: 3c54e6bffb3f1a6becf0c2e93847f110ecb74072) Major bugs fixed: - No major bugs fixed reported in this period. Focus remained on feature delivery, test coverage, and validation of new capabilities. Overall impact and accomplishments: - Enhanced kernel fusion opportunities and now capable of combining GEMM-like operations more efficiently, potentially improving throughput and reducing memory bandwidth in end-to-end workloads. - Broadened performance testing and profiling coverage for g+g patterns, enabling better benchmarking for tier1 workloads and faster identification of regression risks. - Strengthened the ROCm stack alignment by delivering end-to-end feature implementations with tests and documentation-ready commits. Technologies/skills demonstrated: - rocMLIR integration and feature flagging via environment variables - GEMM fusion pattern design and testing, along with coverage for element-wise fusion scenarios - FP32/FP16 data type configurations and tier1 model profiling for performance evaluation - Test-driven validation and commit-oriented development across ROCm/Kernels.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary for ROCm/AMDMIGraphX focused on dependency modernization and build reliability to support broader ecosystem interoperability (ONNX/TF).

August 2025

2 Commits • 2 Features

Aug 1, 2025

August 2025 — ROCm/AMDMIGraphX: two key feature improvements focused on installation experience and build reliability. Key outcomes: - SLES Installation Prerequisites Simplification: Removed the perl-File-BaseDir dependency from the SLES prerequisites script, reducing install footprint and ensuring only the required dependencies are installed for SLES. - ROCm 7.0 Build Compatibility Enhancements: Added warning suppression for -Wno-switch-default in CMake and implemented a check for deprecated declarations in system headers when using Clang with a specific GCC installation directory, improving build reliability and cross-distro compatibility. Impact and value: - Smoother SLES onboarding and fewer install-time issues, contributing to faster deployments and reduced support overhead. - More robust ROCm 7.0 builds with fewer false-positive warnings and better compatibility across environments. Technologies demonstrated: - CMake configuration tuning, compiler diagnostics handling, build-system hygiene, and cross-distro compatibility between Clang and GCC. - Dependency management optimization and targeted build-time checks to improve reliability.

July 2025

1 Commits • 1 Features

Jul 1, 2025

July 2025 ROCm/AMDMIGraphX monthly summary focused on release readiness and version management. Delivered a non-functional release bump to version 2.14.0 in CMakeLists.txt, aligning mainline with the official release cycle. No major bugs fixed this month. The effort improves release reproducibility, downstream compatibility, and supports predictable upgrade paths for users and partners.

Activity

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Quality Metrics

Correctness90.8%
Maintainability89.0%
Architecture87.2%
Performance87.2%
AI Usage27.2%

Skills & Technologies

Programming Languages

C++CMakeCMakeLists.txtDockerfileJenkinsfilePythonShell

Technical Skills

Algorithm optimizationBuild SystemBuild System ConfigurationC++C++ developmentCI/CDCompiler DevelopmentCompiler OptimizationDependency ManagementGPU ComputingGPU programmingGraph optimizationMachine LearningMachine Learning OptimizationModel Configuration

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

ROCm/AMDMIGraphX

Jul 2025 Jan 2026
6 Months active

Languages Used

CMakeShellCMakeLists.txtDockerfileJenkinsfilePythonC++

Technical Skills

Build System ConfigurationCompiler OptimizationDependency ManagementShell ScriptingBuild SystemCI/CD

ROCm/rocMLIR

Oct 2025 Oct 2025
1 Month active

Languages Used

Shell

Technical Skills

Model ConfigurationPerformance Tuning