ROCm/rocMLIR
Dec 2024 – Oct 2025
5 Months active
Languages Used
CC++MLIRObjective-CTableGenCMakePythonShell
Technical Skills
Build SystemsClang-FormatCode FormattingCompiler DevelopmentLLVM ToolingLow-Level Optimization
Djordje Ramic
PROFILE
Djordje Ramic
Worked on the ROCm/rocMLIR repository to enhance machine learning compiler infrastructure, focusing on build system reliability, conversion pipeline robustness, and precision control for matrix operations. Leveraged C++, MLIR, and Python to implement features such as SPIR-V image interface support, accumulator type attributes for MatMul operations, and expanded TOSA dialect validation with 64-bit integer support. Improved CI/CD efficiency by streamlining performance benchmarks and aligning testing with business-critical metrics. Addressed build and numerical compatibility issues, standardized code formatting across LLVM projects, and refined bufferization and type conversion logic, resulting in more reliable model deployment and maintainable code across the ROCm stack.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
9Total
Bugs
2
Commits
9
Features
5
Lines of code
8,260
Activity Months5
Your Network
28 peopleWork History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for ROCm/rocMLIR: Core focus on CI/CD alignment with MIOpen performance. Delivered CI Pipeline Cleanup for MIOpen Performance by removing rocBLAS from CI configurations and tests, streamlining performance reporting and build processes to concentrate on relevant benchmarks.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for ROCm/rocMLIR: Core focus on CI/CD alignment with MIOpen performance. Delivered CI Pipeline Cleanup for MIOpen Performance by removing rocBLAS from CI configurations and tests, streamlining performance reporting and build processes to concentrate on relevant benchmarks.
October 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 ROCm/rocMLIR monthly summary focused on precision control and test integrity across matrix-multiply paths. Key feature delivered: added acc_type attribute to MatMulOp to specify accumulator type for FP and quantized operations, enabling per-accumulator precision in matrix multiplications across TosaToLinalg and MIGraphX-to-TOSA conversions. Verification logic and tests were updated accordingly to validate the new attribute in both conversion pipelines. No major bugs fixed this month. Business impact: supports quantized and mixed-precision workloads, improving performance, memory efficiency, and deployment flexibility for ML workloads. Technologies demonstrated: MLIR, ROCm, cross-path verification, test automation, and cross-repo coordination. Commits associated: 71e132026070b02b050480429d24c9af1ae7fac8; 551ff2ca96a7efcacd2feda33b5ca0dbd65712ba.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 ROCm/rocMLIR monthly summary focused on precision control and test integrity across matrix-multiply paths. Key feature delivered: added acc_type attribute to MatMulOp to specify accumulator type for FP and quantized operations, enabling per-accumulator precision in matrix multiplications across TosaToLinalg and MIGraphX-to-TOSA conversions. Verification logic and tests were updated accordingly to validate the new attribute in both conversion pipelines. No major bugs fixed this month. Business impact: supports quantized and mixed-precision workloads, improving performance, memory efficiency, and deployment flexibility for ML workloads. Technologies demonstrated: MLIR, ROCm, cross-path verification, test automation, and cross-repo coordination. Commits associated: 71e132026070b02b050480429d24c9af1ae7fac8; 551ff2ca96a7efcacd2feda33b5ca0dbd65712ba.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on ROCm/rocMLIR contributions. Delivered SPIR-V image interfaces support in ROC MLIR by adding a new dependency (MLIRSPIRVImageInterfaces) to the build configuration, enabling SPIR-V image interfaces integration for the FAT library within rocMLIR. This work establishes essential groundwork for SPIR-V image compatibility, improving interoperability and future performance optimizations in the ROCm stack.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on ROCm/rocMLIR contributions. Delivered SPIR-V image interfaces support in ROC MLIR by adding a new dependency (MLIRSPIRVImageInterfaces) to the build configuration, enabling SPIR-V image interfaces integration for the FAT library within rocMLIR. This work establishes essential groundwork for SPIR-V image compatibility, improving interoperability and future performance optimizations in the ROCm stack.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for ROCm/rocMLIR focused on strengthening the MLIR-based conversion pipeline across TOSA-Linalg and ROCm/Tosa-to-Rock backends. Delivered stability, correctness, and broader compatibility with minimal disruption to existing models, reducing redevelopment cycles and enabling more reliable model deployment.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for ROCm/rocMLIR focused on strengthening the MLIR-based conversion pipeline across TOSA-Linalg and ROCm/Tosa-to-Rock backends. Delivered stability, correctness, and broader compatibility with minimal disruption to existing models, reducing redevelopment cycles and enabling more reliable model deployment.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ROCm/rocMLIR focused on stabilizing build reliability, expanding dialect validation, and improving code quality across LLVM-related projects. Key outcomes include targeted feature work in the Tosa dialect validation and critical bug fixes that enhance cross-project compatibility and maintainability. The work delivers direct business value by reducing build and validation risks for ROCm workloads and by aligning formatting and testing practices with LLVM standards for easier maintenance. Overall impact: Improved build stability for ROCm workloads, broader and more reliable Tosa dialect validation (including 64-bit integer support and clearer test outputs), and consistent code quality across the LLVM ecosystem, reducing downstream maintenance and onboarding friction. Technologies/skills demonstrated: MLIR/LLVM pass development and validation tooling; APInt handling and integer truncation logic; vector type and floating-point emulation considerations; cross-project clang-format standardization; test suite refinement and output formatting.
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ROCm/rocMLIR focused on stabilizing build reliability, expanding dialect validation, and improving code quality across LLVM-related projects. Key outcomes include targeted feature work in the Tosa dialect validation and critical bug fixes that enhance cross-project compatibility and maintainability. The work delivers direct business value by reducing build and validation risks for ROCm workloads and by aligning formatting and testing practices with LLVM standards for easier maintenance. Overall impact: Improved build stability for ROCm workloads, broader and more reliable Tosa dialect validation (including 64-bit integer support and clearer test outputs), and consistent code quality across the LLVM ecosystem, reducing downstream maintenance and onboarding friction. Technologies/skills demonstrated: MLIR/LLVM pass development and validation tooling; APInt handling and integer truncation logic; vector type and floating-point emulation considerations; cross-project clang-format standardization; test suite refinement and output formatting.
December 2024
Activity
Loading activity data...
Quality Metrics
Correctness88.8%
Maintainability86.6%
Architecture87.8%
Performance77.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++CMakeMLIRObjective-CPythonShellTableGen
Technical Skills
Build System ConfigurationBuild SystemsCI/CDClang-FormatCode ConversionCode FormattingCompiler DevelopmentIR TransformationLLVM ToolingLinear Algebra OperationsLow-Level OptimizationMIGraphXMLIRMachine Learning CompilersPass Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline