February 2026 (ROCm/rocm-systems): Delivered an Experimental Feature Flag System for the ROCm Compute Profiler to safely opt-in to unstable features. Implemented a custom argparse action to control visibility and usage, ensuring access only when the flag is specified. Included documentation, changelog, and tests updates to support the feature. The work enhances configurability, reduces risk for early adopters, and improves testing coverage and maintainability across the ROCm profiler workflow.

January 2026 (ROCm/rocm-systems) – Key deliveries focused on configuration governance and input reliability for ROCProfiler-Compute.

December 2025 ROCm/rocm-systems monthly summary focused on UI/UX performance improvements in the TUI Analyze Mode. Delivered a targeted responsiveness fix for the Analyze Mode menu and dropdowns, reducing lag and improving interaction flow for analysis workflows. This work enhances developer productivity by enabling faster data exploration and reduces context switching during analysis tasks.

In November 2025 (ROCm/rocm-systems), two key capabilities were delivered to improve profiling clarity and user experience, with a focus on documentation quality and robust UX feedback. Key features delivered: - ROCm Profiler Metrics Descriptions Documentation: Updated the YAML metric descriptions in the ROC profiler docs to improve clarity and consistency in reporting GPU performance metrics. Commit: c778acdb702dbd748e06dab1bf84bf82547b920a. - Warning for Unsupported GPU Architectures in Profile Mode: Implemented user-facing warnings for unsupported GPU architectures in profile mode to reduce confusion and improve error handling. Commit: 9efd330fae9f0cd2775bdf1dcbafbb2c5c823eab. Major bugs fixed: - No major bugs were reported this month; effort focused on documentation quality and user experience improvements. Overall impact and accomplishments: - Enhanced business value by making GPU profiling more reliable and easier to interpret, leading to faster issue diagnosis and improved adoption of ROCm profiling features. - Reduced friction for users when encountering unsupported architectures by providing proactive warnings and guidance. Technologies/skills demonstrated: - YAML documentation practices, ROC profiler tooling, and commit-driven changes. - Clear documentation updates and user-facing error messaging, contributing to better product quality and developer experience.

October 2025 monthly summary for ROCm/rocm-systems: delivered refactor and cleanup for ROCm profiler compute component and removed Grafana/MongoDB integration with database mode, enabling a leaner, more maintainable architecture and paving the way for alternative visualization options.

Summary for 2025-09: Delivered important ROCProfiler Compute improvements in ROCm/rocm-systems, focusing on code quality, tooling modernization, feature enhancements, UI robustness, and data handling. This quarter’s work emphasizes business value through better maintainability, reliability, and accurate profiling insights for developers and users.

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.

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.

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.

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).

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.