
Anuj Shukla contributed to the ROCm/rocprofiler-systems repository by developing safer and more reliable metrics collection and profiling features over a three-month period. He enhanced configuration management by setting default CPU sampling to 'none' and refining AMD SMI metrics parsing, reducing unintended data collection and improving privacy for enterprise workloads. Using C++ and CMake, Anuj also built a Roctx API sample and test harness, integrating automated validation into the CI pipeline to ensure robust API usage. Additionally, he addressed initialization and data visibility issues, restoring correct state management and improving profiling reliability for GPU workloads through targeted bug fixes and regression testing.

June 2025 monthly summary for ROCm/rocprofiler-systems focusing on structure and validation of Roctx API usage within the build/test system. Delivered a C++ Roctx sample and a test harness, plus associated CMake configurations and a test directory to validate Roctx API usage within the existing CI/build flow. Established a baseline for API call verification and regression testing.
June 2025 monthly summary for ROCm/rocprofiler-systems focusing on structure and validation of Roctx API usage within the build/test system. Delivered a C++ Roctx sample and a test harness, plus associated CMake configurations and a test directory to validate Roctx API usage within the existing CI/build flow. Established a baseline for API call verification and regression testing.
May 2025 monthly summary for ROCm/rocprofiler-systems focused on stabilizing data visibility and initialization flow. Reverted PR-154 RCCL initialization changes to restore correct state management and data visibility, addressing VCN data not appearing in Perfetto traces and preventing potential initialization hangs. These improvements enhance profiling reliability and user experience by ensuring consistent data visibility and robust initialization.
May 2025 monthly summary for ROCm/rocprofiler-systems focused on stabilizing data visibility and initialization flow. Reverted PR-154 RCCL initialization changes to restore correct state management and data visibility, addressing VCN data not appearing in Perfetto traces and preventing potential initialization hangs. These improvements enhance profiling reliability and user experience by ensuring consistent data visibility and robust initialization.
April 2025 — ROCm/rocprofiler-systems: Delivered safety-first metrics collection improvements. Implemented a default 'none' CPU sampling and fixed AMD SMI metrics parsing to prevent default collection and to correctly interpret 'all'/'none' values, enhancing reliability and privacy. These changes improve data quality, reduce noise, and lower risk of exposing sensitive metrics for enterprise workloads. Commits delivering these changes include 807a622b0422a6efc56b50c695413f66b7f2f6b7 and 8d48048bd31358360361fb2680b7deafa30e187f.
April 2025 — ROCm/rocprofiler-systems: Delivered safety-first metrics collection improvements. Implemented a default 'none' CPU sampling and fixed AMD SMI metrics parsing to prevent default collection and to correctly interpret 'all'/'none' values, enhancing reliability and privacy. These changes improve data quality, reduce noise, and lower risk of exposing sensitive metrics for enterprise workloads. Commits delivering these changes include 807a622b0422a6efc56b50c695413f66b7f2f6b7 and 8d48048bd31358360361fb2680b7deafa30e187f.
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