February 2026 monthly summary for ROCm/rocm-systems: Focused on documentation and metrics improvements, along with targeted testing adjustments to reflect hardware capabilities.

Monthly summary for 2026-01 for ROCm/rocm-systems focusing on delivering business value through correctness, performance, reliability, and developer experience improvements. The month emphasized architecture-aware correctness, data reliability during iteration multiplexing, performance optimizations in the analysis database, and CI/testing stabilization to improve release confidence.

December 2025: Delivered major ROC profiler enhancements and reliability improvements for ROCm/rocm-systems. Key features include ROC Profiler data accuracy and multi-process profiling improvements; Robust ROC Profiler binary management and path resolution; GPU profiling metrics enhancements for ROCm Compute Profiler v3.4.0; Testing framework improvements and portability; PR workflow enhancement: add JIRA ID to pull request template; and cleanup: removal of SMFMAC functionality in rocflop sample. These work items collectively improved profiling accuracy, multi-process data handling, binary discovery reliability, and test portability, delivering tangible business value through faster, more reliable performance analysis and better traceability.

November 2025 monthly focus: strengthen profiling accuracy, data fidelity, and developer experience in ROCm/rocm-systems while preparing for the ROCm 7.2 lifecycle. Delivered robustness and visibility improvements in ROCm Compute Profiler, expanded analysis capabilities, and automation-friendly tooling. These changes enhance profiling reliability, reduce debugging time, and provide deeper hardware insight for performance optimization.

Month: 2025-10 — Concise monthly summary focused on delivering business value and technical excellence for ROCm systems. Key features delivered: - Live Attach/Detach for ROCm Compute Profiler: Enables attaching to running ROCm processes and detaching without disrupting profiling workflow. (Commit: ecf0d32644982ea263c9abb3cf0ead4e9a8dc72b; CHANGELOG update for ROCm 7.1.0) - ROCm 7.1.1 Roofline Profiling Enhancements: Adds multi-kernel PC sampling and fixes a kernel filtering issue to improve profiling accuracy and diagnostics. (Commit: 2a37cbf2cae8c189e4edd97a76392429feff170e; versioning/CHANGELOG updates) - Release readiness and changelog updates: Version bump and CHANGELOG entries prepared for ROCm 7.1.1 and associated 7.1.0 release notes. Major bugs fixed: - Profile Workload Directory Cleanup Verification in Test Suite: Corrected test assertion to reflect that workload directory does not exist after cleanup. (Commit: 4870b2b881e23bd17ade4b6c16eaff767f9b5286) - Conditional Forwarding of ROCR_VISIBLE_DEVICES in Docker-Compose: Avoids passing ROCR_VISIBLE_DEVICES to containers when not defined on host, preventing misconfigurations. (Commit: 454e9354483da4175c80f0c32ae94b864fe9a879) Overall impact and accomplishments: - Strengthened profiling workflow reliability and usability, enabling smoother debugging and performance analysis for users. - Improved profiling accuracy and diagnostics via Roofline enhancements and multi-kernel sampling. - Reduced risk of container misconfigurations and environment-related errors in ROCm tests. - Enhanced release readiness with up-to-date changelogs and versioning. Technologies and skills demonstrated: - ROCm profiling tooling (Compute Profiler), performance visualization (Roofline), test automation and validation, container orchestration (Docker/Compose), versioning and release management (CHANGELOG updates).

Summary for 2025-09 (ROCm/rocm-systems): This month focused on stability, accuracy, and modernization of the ROCm profiler stack to accelerate performance insights across more GPUs. Key features delivered include enhanced flexibility and build reliability, as well as broader hardware coverage. Notable outcomes: - Robust MI100 roprofiler-compute analysis: hardened the analysis database and test suite, with explicit handling for missing roofline data to stabilize results on MI100 configurations. - Consistent performance reporting: standardized the Performance (GFLOPs) labeling across configurations to ensure accurate cross-architecture comparisons. - Filtering and validation improvements: implemented mutual exclusivity among report filters (--roof-only, --block, --set) with input sanitization and documentation updates for safer report generation. - Reproducibility improvements: ensured deterministic PMC outputs by sorting counter lists prior to processing. - Modernization and maintenance: consolidated to rocprofiler-sdk, deprecating older rocprofv1/v2 interfaces and making rocprofiler-sdk the default with rocprofv3 opt-in; ongoing build improvements to support standalone binaries and dynamic SDK paths across ROCm deployments.

Monthly summary for 2025-08 - ROCm/rocprofiler-compute: Key features delivered include Metrics Documentation Improvements (refactoring and corrections in metrics_description.yaml with duplicates removed) and L2 Cache Bandwidth Metrics Update for MI350 to accurately reflect read/write/atomic data movement across memory interfaces. Major bugs fixed include Test Reliability Improvements for Autogen Config Tests (making tests robust via content-hash validation of autogenerated configuration files). Overall impact: improved metric accuracy and clarity, better visibility into MI350 memory behavior, and more stable CI/tests, enabling faster performance tuning and benchmarking with higher user confidence. Technologies/skills demonstrated: YAML-based documentation and metric definitions, profiling metrics validation, MI350 memory subsystem awareness, automated test hardening via content-hash validation, and strong commit traceability.

July 2025 monthly summary for ROCm/rocprofiler-compute focusing on delivering measurable business value through feature enhancements, stability improvements, and architecture-wide metric standardization.

June 2025 monthly summary for ROCm/rocprofiler-compute: Delivered enhancements in testing infrastructure, profiler tooling, hardware support, and codebase maintenance. A robust test environment was established with SQLite support inside test containers, docker-compose-based testing, and isolated testing environments, complemented by detailed logging for debugging. Rocprofiler tooling and SDK integration were upgraded to rocprofv3 by default with expanded hardware support (MI200/MI100/MI350) and improved counter collection across architectures (including SPI and gfx950). The work also included targeted bug fixes to improve stability of profiling across devices and the removal of obsolete components with deprecation warnings to guide users through planned removals. These changes improve testing reliability, cross-hardware profiling accuracy, and long-term maintainability, delivering faster time-to-value for performance analysis and optimization.

May 2025 ROCm/rocprofiler-compute monthly summary focusing on reliability, cross-architecture support, and developer experience. Key features delivered include ROC Profiler SDK integration and CODEOWNERS automation. Major bugs fixed include PC Sampling configuration across multiple architectures and test suite stability improvements. Overall impact: improved reliability across architectures, smoother SDK integration, and streamlined PR workflows. Technologies/skills demonstrated include cross-architecture config handling, SDK integration, environment variable management, test harness hardening, and GitHub CODEOWNERS automation with changelog maintenance.

For 2025-04, focused on advancing CI automation and profiling capabilities for ROCm/rocprofiler-compute. Key outcomes include (1) automated weekly rebase workflow for liangdin-test onto amd-mainline, reducing manual maintenance and keeping test branches aligned with mainline; (2) MI350 GPU profiling support and analytics readiness, including MI350 hardware information, refactored YAML interfaces, gfx950 SoC files, and test-ready analysis/report configurations; (3) CI/test infrastructure enhancements leveraging GitHub Actions and GitHub App token authentication to improve reliability and security; and (4) groundwork for analytics/configuration to support ongoing profiling metrics. Major bugs fixed: none reported this month. Overall impact: stabilized mainline testing, accelerated validation cycles, and extended profiling coverage to MI350 hardware, enabling more reliable performance analysis and faster feedback to developers. Technologies/skills demonstrated: GitHub Actions automation, CI/CD pipelines, GitHub App authentication, YAML refactor, SoC gfx950 integration, and MI350 profiling instrumentation.

March 2025 monthly summary for ROCm/rocprofiler-compute focusing on business value and technical achievements. Delivered reliability and usability enhancements for standalone GUI usage, improved build safety for Nuitka-generated binaries, advanced profiling capabilities with block-based filtering and robust input parsing, modernized counter detection, and targeted test/CI improvements. These changes enhanced deployment readiness, profiling accuracy, and developer workflow, driving faster insights and more robust performance analysis across supported GPUs.

February 2025 ROCm/rocprofiler-compute monthly update: delivered standalone ROCm Compute Profiler binary build support, fixed critical clock reporting and executable-path validation issues, improved build robustness for missing VERSION.sha, and enhanced RHEL-8 CI metadata caching. These changes increase reliability of performance analysis, enable standalone usage, and strengthen CI stability across architectures, delivering business value through more accurate metrics, reproducible builds, and faster verification.

January 2025 monthly summary for ROCm/rocprofiler-compute: Delivered testing infrastructure improvements and workflow automation, plus targeted fixes that improve analysis accuracy and staging throughput.