
Xuchen worked on the ROCm/rocprofiler-compute repository, delivering profiling and analysis tools for AMD GPUs with a focus on usability, reliability, and hardware coverage. Over nine months, Xuchen engineered features such as a text-based user interface with Roofline visualization, kernel-centric analysis, and single-pass metric collection, leveraging Python, C++, and YAML for robust configuration and data processing. The work included GPU specification parsing, performance counter integration, and migration to updated system tools, addressing both frontend and backend challenges. Through careful code refactoring, test optimization, and consistent metric reporting, Xuchen improved profiling accuracy, cross-platform support, and the overall developer experience.

In August 2025, ROCm/rocprofiler-compute delivered kernel-centric profiling enhancements and a single-pass counter collection workflow, enabling targeted kernel analysis and streamlined metrics collection. These changes improve debugging and optimization workflows for performance engineers and customers by providing finer-grained insights and reduced profiling overhead. No major bugs fixed documented for this period.
In August 2025, ROCm/rocprofiler-compute delivered kernel-centric profiling enhancements and a single-pass counter collection workflow, enabling targeted kernel analysis and streamlined metrics collection. These changes improve debugging and optimization workflows for performance engineers and customers by providing finer-grained insights and reduced profiling overhead. No major bugs fixed documented for this period.
July 2025 monthly summary for ROCm/rocprofiler-compute. Delivered a production-ready Text-based User Interface (TUI) for ROCm Compute Profiler with installation support, a dynamic Roofline analysis section, and updated user documentation, enabling streamlined profiling workflows. Migrated from rocm-smi to amd-smi by adding a deprecation warning and removing rocm-smi usage for memory clocks and compute partitions, aligning with ROCm 7.1 deprecation plans. Hardened configuration discovery by locating analyze_config.yaml via importlib.resources, improving portability and reliability across execution contexts. Standardized time-unit conversions across all analysis sections to ensure consistent, accurate time-based metrics. These changes reduce fragility, improve usability, and strengthen profiling accuracy across diverse environments.
July 2025 monthly summary for ROCm/rocprofiler-compute. Delivered a production-ready Text-based User Interface (TUI) for ROCm Compute Profiler with installation support, a dynamic Roofline analysis section, and updated user documentation, enabling streamlined profiling workflows. Migrated from rocm-smi to amd-smi by adding a deprecation warning and removing rocm-smi usage for memory clocks and compute partitions, aligning with ROCm 7.1 deprecation plans. Hardened configuration discovery by locating analyze_config.yaml via importlib.resources, improving portability and reliability across execution contexts. Standardized time-unit conversions across all analysis sections to ensure consistent, accurate time-based metrics. These changes reduce fragility, improve usability, and strengthen profiling accuracy across diverse environments.
June 2025 highlights for ROCm/rocprofiler-compute focused on elevating usability, consistency, and performance analysis throughput. Delivered an interactive TUI with Roofline visualization, standardized performance metrics across architectures, and refined UI visuals. Quality improvements in number formatting prevent overflow and simplify table charts, enabling clearer cross-GPU comparisons and faster optimization cycles.
June 2025 highlights for ROCm/rocprofiler-compute focused on elevating usability, consistency, and performance analysis throughput. Delivered an interactive TUI with Roofline visualization, standardized performance metrics across architectures, and refined UI visuals. Quality improvements in number formatting prevent overflow and simplify table charts, enabling clearer cross-GPU comparisons and faster optimization cycles.
Month: 2025-05. Focus: ROCm/rocprofiler-compute project. Delivered GPU Specification Robustness and Testing Enhancements, enabling more accurate profiling and stable test outcomes. The work includes chip-ID based test validation with mappings from chip IDs to compute units, enhancements to performance monitoring configurations, and improved detection of GPU models and compute partitions, along with fallback detection methods and default settings. Architecture-specific configurations and tests were updated to improve cross-platform reliability and reduce maintenance. This results in more reliable profiling for customers, faster issue diagnosis, and better alignment with product stability goals.
Month: 2025-05. Focus: ROCm/rocprofiler-compute project. Delivered GPU Specification Robustness and Testing Enhancements, enabling more accurate profiling and stable test outcomes. The work includes chip-ID based test validation with mappings from chip IDs to compute units, enhancements to performance monitoring configurations, and improved detection of GPU models and compute partitions, along with fallback detection methods and default settings. Architecture-specific configurations and tests were updated to improve cross-platform reliability and reduce maintenance. This results in more reliable profiling for customers, faster issue diagnosis, and better alignment with product stability goals.
April 2025 ROCm/rocprofiler-compute monthly summary: Delivered significant hardware identification and profiling enhancements across MI300, MI350, gfx950, and Mi325x platforms, along with HIP trace integration and strengthened validation tests. Key outcomes include robust MI300 chip-id detection and GPU spec parsing, enabled gfx950 tuned performance counters with new latency, stalls, and Write Ack Instructions metrics, added MI350 TA/TD/TCP/TCC counters with wide YAML propagation across gfx906/908/90a/940/941/942/950 and enhanced L1D/L2 breakdowns, introduced Mi325x GPU model specs for correct recognition and configuration, and integrated HIP trace processing into run_prof to produce unified trace results. A bug fix concurrently addressed Flask debug output exposure in quiet GUI mode and ensured GUI arguments initialize correctly, improving user experience. Overall, these changes improve hardware auto-detection, profiling accuracy, trace analysis, and validation coverage, enabling faster, more reliable performance assessments and configuration.
April 2025 ROCm/rocprofiler-compute monthly summary: Delivered significant hardware identification and profiling enhancements across MI300, MI350, gfx950, and Mi325x platforms, along with HIP trace integration and strengthened validation tests. Key outcomes include robust MI300 chip-id detection and GPU spec parsing, enabled gfx950 tuned performance counters with new latency, stalls, and Write Ack Instructions metrics, added MI350 TA/TD/TCP/TCC counters with wide YAML propagation across gfx906/908/90a/940/941/942/950 and enhanced L1D/L2 breakdowns, introduced Mi325x GPU model specs for correct recognition and configuration, and integrated HIP trace processing into run_prof to produce unified trace results. A bug fix concurrently addressed Flask debug output exposure in quiet GUI mode and ensured GUI arguments initialize correctly, improving user experience. Overall, these changes improve hardware auto-detection, profiling accuracy, trace analysis, and validation coverage, enabling faster, more reliable performance assessments and configuration.
March 2025 monthly summary for ROCm/rocprofiler-compute focused on reliability, maintainability, and improved hardware identification. Delivered critical bug fixes and a structural refactor to enable scalable analytics and smoother user experience across multi-process profiling workflows.
March 2025 monthly summary for ROCm/rocprofiler-compute focused on reliability, maintainability, and improved hardware identification. Delivered critical bug fixes and a structural refactor to enable scalable analytics and smoother user experience across multi-process profiling workflows.
February 2025 - ROCm/rocprofiler-compute: Delivered targeted test-time optimizations and robust trace data handling to improve profiling reliability, reduce CI costs, and accelerate performance investigations. This month focused on delivering faster feedback loops, cleaner profiling outputs, and safer tracing configurations.
February 2025 - ROCm/rocprofiler-compute: Delivered targeted test-time optimizations and robust trace data handling to improve profiling reliability, reduce CI costs, and accelerate performance investigations. This month focused on delivering faster feedback loops, cleaner profiling outputs, and safer tracing configurations.
January 2025: Feature delivery focused on expanding profiling observability for ROCm workloads. Implemented HIP and Kokkos tracing in rocprof-compute by introducing --hip-trace and --kokkos-trace flags, updating the argument parser and profiler to integrate these options into profiling commands. This enables end-to-end tracing of HIP and Kokkos API calls, improving diagnostics and optimization opportunities. No major bugs fixed this month; the work is groundwork for enhanced performance analysis in subsequent releases. The changes were delivered via a targeted commit enabling kokkos tracing features from rocprofv3 (commit da1bd045abbe7a01c606b70cdb55c14795d2d5f2).
January 2025: Feature delivery focused on expanding profiling observability for ROCm workloads. Implemented HIP and Kokkos tracing in rocprof-compute by introducing --hip-trace and --kokkos-trace flags, updating the argument parser and profiler to integrate these options into profiling commands. This enables end-to-end tracing of HIP and Kokkos API calls, improving diagnostics and optimization opportunities. No major bugs fixed this month; the work is groundwork for enhanced performance analysis in subsequent releases. The changes were delivered via a targeted commit enabling kokkos tracing features from rocprofv3 (commit da1bd045abbe7a01c606b70cdb55c14795d2d5f2).
November 2024, ROCm/rocprofiler-compute: Delivered a branding and naming initiative to rename Omniperf to ROCm Compute Profiler across the codebase, ensuring consistent product identity and streamlined support. No major bugs fixed this month in this repository. Impact: improved product branding alignment, easier customer recognition, and readiness for productization; improvements also pave the way for marketing and documentation coherence. Technologies/skills demonstrated: repo-wide refactoring, branding governance, packaging and workflow updates, and cross-functional collaboration.
November 2024, ROCm/rocprofiler-compute: Delivered a branding and naming initiative to rename Omniperf to ROCm Compute Profiler across the codebase, ensuring consistent product identity and streamlined support. No major bugs fixed this month in this repository. Impact: improved product branding alignment, easier customer recognition, and readiness for productization; improvements also pave the way for marketing and documentation coherence. Technologies/skills demonstrated: repo-wide refactoring, branding governance, packaging and workflow updates, and cross-functional collaboration.
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