ROCm/rocprofiler-sdk
Dec 2024 – Feb 2025
3 Months active
Languages Used
CC++PythonRST
Technical Skills
API DevelopmentCode InstrumentationGPU ComputingLow-Level ProgrammingPerformance Analysis ToolsSystem Programming
Jakaraddi, Manjunath
PROFILE
Jakaraddi, Manjunath
Worked on the ROCm/rocprofiler-sdk repository over three months, focusing on enhancing profiling and tracing capabilities for HIP applications. Developed a feature to map HIP host functions to device symbols, enabling detailed correlation between host calls and device kernel executions using C++ and low-level programming techniques. Improved robustness by refining error handling for kernel tracing, ensuring profiling continued despite non-critical AMD_COMGR errors. Introduced Python tooling to convert ROC Profiler v3 counter data to v1 format, streamlining data processing workflows. Updated documentation and JSON output formatting, addressing user experience and reliability, while maintaining a strong emphasis on system programming and testing.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
1,287
Activity Months3
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Work History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ROCm/rocprofiler-sdk: Delivered reliability improvements to kernel tracing and introduced data-format tooling to streamline performance data pipelines. Focused on stabilizing tracing when AMD_COMGR errors occur and enabling a smooth migration from ROC Profiler v3 to v1 counter data formats. These changes reduce profiling downtime, simplify data workflows, and strengthen the foundation for future performance analysis across the ROCm tooling stack.
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ROCm/rocprofiler-sdk: Delivered reliability improvements to kernel tracing and introduced data-format tooling to streamline performance data pipelines. Focused on stabilizing tracing when AMD_COMGR errors occur and enabling a smooth migration from ROC Profiler v3 to v1 counter data formats. These changes reduce profiling downtime, simplify data workflows, and strengthen the foundation for future performance analysis across the ROCm tooling stack.
February 2025
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for ROCm/rocprofiler-sdk. Focused on stability and user experience: delivered robustness to invalid metrics in ROCm Profiler, updated documentation to address hang issues, refined JSON output formatting for kernel iteration ranges, and cleaned up docs by removing outdated counter examples. These changes reduce runtime crashes, improve reliability, and simplify onboarding for developers relying on ROCprofiler-sdk.
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for ROCm/rocprofiler-sdk. Focused on stability and user experience: delivered robustness to invalid metrics in ROCm Profiler, updated documentation to address hang issues, refined JSON output formatting for kernel iteration ranges, and cleaned up docs by removing outdated counter examples. These changes reduce runtime crashes, improve reliability, and simplify onboarding for developers relying on ROCprofiler-sdk.
December 2024
1 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12 focusing on ROCm/rocprofiler-sdk work. Key feature delivered: HIP host function to device symbol mapping for enhanced tracing, enabling correlation between host calls and device kernel executions. Supporting data structures and callback handling for host kernel symbol registration were added to facilitate detailed tracing and analysis of HIP applications. No major bugs reported this month. Overall impact: improved observability and diagnosability of HIP workloads, enabling faster performance optimization and more accurate profiling results. Technologies/skills demonstrated: HIP/ROCm, C++, profiling instrumentation, event correlation, callback-driven design, and data-structure development.
1 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12 focusing on ROCm/rocprofiler-sdk work. Key feature delivered: HIP host function to device symbol mapping for enhanced tracing, enabling correlation between host calls and device kernel executions. Supporting data structures and callback handling for host kernel symbol registration were added to facilitate detailed tracing and analysis of HIP applications. No major bugs reported this month. Overall impact: improved observability and diagnosability of HIP workloads, enabling faster performance optimization and more accurate profiling results. Technologies/skills demonstrated: HIP/ROCm, C++, profiling instrumentation, event correlation, callback-driven design, and data-structure development.
December 2024
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture77.6%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++PythonRST
Technical Skills
API DevelopmentBuild SystemCode FormattingCode InstrumentationData ProcessingDocumentationError HandlingError handlingGPU ComputingLow-Level ProgrammingLow-level programmingPerformance Analysis ToolsScriptingSystem ProgrammingSystem programming
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