
Yunfei Wang contributed to ROCm/rocprofiler-compute and ROCm/rocm-systems by developing and refining profiling and analysis tools for GPU workloads. Over ten months, Yunfei built features such as spatial multiplexing analysis, cross-version metric reliability, and multi-kernel PC sampling, using Python, C++, and HIP. He improved test infrastructure, enhanced error handling, and modernized build systems with CMake, focusing on stability and compatibility across hardware generations. His work included refactoring YAML configurations for SDK alignment, strengthening CI/CD pipelines, and ensuring robust subprocess management. These efforts resulted in more accurate performance analysis, reliable profiling workflows, and maintainable codebases for ROCm developers.
December 2025 monthly summary for ROCm/rocm-systems focused on stabilizing ROC Profiler attach/detach flow by implementing robust error handling and guaranteed subprocess cleanup, reducing test flakiness and improving reliability of profiling workflows. Delivered a targeted fix and cleanup improvements that enhance stability for developers and CI pipelines.
December 2025 monthly summary for ROCm/rocm-systems focused on stabilizing ROC Profiler attach/detach flow by implementing robust error handling and guaranteed subprocess cleanup, reducing test flakiness and improving reliability of profiling workflows. Delivered a targeted fix and cleanup improvements that enhance stability for developers and CI pipelines.
November 2025 monthly summary for ROCm/rocm-systems focused on stabilization of PC Sampling JSON processing by rolling back to the previous stable state. This work preserves data integrity, maintains a stable build configuration, and reduces regression risk in critical sampling pipelines.
November 2025 monthly summary for ROCm/rocm-systems focused on stabilization of PC Sampling JSON processing by rolling back to the previous stable state. This work preserves data integrity, maintains a stable build configuration, and reduces regression risk in critical sampling pipelines.
October 2025 (ROCm/rocm-systems): Delivered multi-kernel PC sampling enhancements, added kernel-trace CSV output, and updated documentation; removed json output to stabilize rocprofv3; fixed crashes in metric generator and improved configuration/templates for profiling reliability. These changes improve profiling accuracy, reduce test fragility, and strengthen toolchain maintainability.
October 2025 (ROCm/rocm-systems): Delivered multi-kernel PC sampling enhancements, added kernel-trace CSV output, and updated documentation; removed json output to stabilize rocprofv3; fixed crashes in metric generator and improved configuration/templates for profiling reliability. These changes improve profiling accuracy, reduce test fragility, and strengthen toolchain maintainability.
In September 2025, ROCm/rocm-systems delivered substantive enhancements to profiling and visualization that improve both readability and performance analysis for long-running workloads. The work focused on memory-chart presentation and matrix-multiplication profiling, with a strong emphasis on test infrastructure and reliability. These changes lay groundwork for more precise optimization of memory and matrix-heavy workloads across CLI, TUI, and GUI interfaces.
In September 2025, ROCm/rocm-systems delivered substantive enhancements to profiling and visualization that improve both readability and performance analysis for long-running workloads. The work focused on memory-chart presentation and matrix-multiplication profiling, with a strong emphasis on test infrastructure and reliability. These changes lay groundwork for more precise optimization of memory and matrix-heavy workloads across CLI, TUI, and GUI interfaces.
August 2025 — Delivered PC Sampling Unit Tests and Test Infrastructure for ROCm/rocm-systems, focusing on rocprofiler-compute test coverage. Implemented tests for PC sampling including host_trap and stochastic methods, and updated build tooling (CMakeLists.txt and pyproject.toml) to enable running these tests. This accelerates validation, improves reliability of profiling workflows, and reduces production risk.
August 2025 — Delivered PC Sampling Unit Tests and Test Infrastructure for ROCm/rocm-systems, focusing on rocprofiler-compute test coverage. Implemented tests for PC sampling including host_trap and stochastic methods, and updated build tooling (CMakeLists.txt and pyproject.toml) to enable running these tests. This accelerates validation, improves reliability of profiling workflows, and reduces production risk.
June 2025 monthly summary for ROCm/rocprofiler-compute focusing on delivering robust, SDK-aligned counter analysis features and improving test reliability. Key refactor updated the counter accumulation YAML to a structure compatible with the rocprofiler-sdk, accompanied by utilities for counter definition management and general code quality improvements. A robustness fix was implemented for memory chart plotting to ensure plotting only occurs when required data is present, addressing test flakiness related to column presence and --cols options. These changes enhance configurability, reliability, and maintainability, enabling more accurate and scalable performance analysis across ROCm workloads.
June 2025 monthly summary for ROCm/rocprofiler-compute focusing on delivering robust, SDK-aligned counter analysis features and improving test reliability. Key refactor updated the counter accumulation YAML to a structure compatible with the rocprofiler-sdk, accompanied by utilities for counter definition management and general code quality improvements. A robustness fix was implemented for memory chart plotting to ensure plotting only occurs when required data is present, addressing test flakiness related to column presence and --cols options. These changes enhance configurability, reliability, and maintainability, enabling more accurate and scalable performance analysis across ROCm workloads.
April 2025 monthly work summary for ROCm/rocprofiler-compute focused on standardizing and accelerating profiling with rocprofv3.
April 2025 monthly work summary for ROCm/rocprofiler-compute focused on standardizing and accelerating profiling with rocprofv3.
March 2025 performance summary for ROCm/rocprofiler-compute: Delivered cross-version reliable metrics, stabilized multi-node outputs, and modernized tooling. Key features and bug fixes improved metric accuracy, output organization, and tooling compatibility, driving measurable business value for performance analysis across ROCm versions.
March 2025 performance summary for ROCm/rocprofiler-compute: Delivered cross-version reliable metrics, stabilized multi-node outputs, and modernized tooling. Key features and bug fixes improved metric accuracy, output organization, and tooling compatibility, driving measurable business value for performance analysis across ROCm versions.
February 2025 monthly summary for ROCm/rocprofiler-compute focused on delivering accurate, scalable profiling analysis and improving stability and data handling. Key features and bug fixes delivered in this period underpin more reliable performance insights and faster debugging for multiplexed workloads.
February 2025 monthly summary for ROCm/rocprofiler-compute focused on delivering accurate, scalable profiling analysis and improving stability and data handling. Key features and bug fixes delivered in this period underpin more reliable performance insights and faster debugging for multiplexed workloads.
January 2025 monthly summary for ROCm/rocprofiler-compute. Focused on stability and expanded profiling coverage. Delivered a Roofline Inclusion Test Bug Fix to prevent crashes on MI100 and enabled rocprofv3 profiling for older SoCs by updating compatibility lists and removing gfx906 from supported hardware. These changes enhance reliability, broaden hardware support, and unlock more accurate performance analysis for a wider range of ROCm-enabled GPUs.
January 2025 monthly summary for ROCm/rocprofiler-compute. Focused on stability and expanded profiling coverage. Delivered a Roofline Inclusion Test Bug Fix to prevent crashes on MI100 and enabled rocprofv3 profiling for older SoCs by updating compatibility lists and removing gfx906 from supported hardware. These changes enhance reliability, broaden hardware support, and unlock more accurate performance analysis for a wider range of ROCm-enabled GPUs.

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