
Benjamin Welton developed and maintained core profiling features for the ROCm/rocprofiler-sdk, focusing on device counter collection, performance monitoring, and profiling reliability. He engineered synchronous APIs for device counter retrieval, standardized YAML-based counter definitions, and introduced new metrics such as the SerializedAtomicRatio counter to identify contention hotspots. Using C++ and Python, Benjamin refactored packet submission logic, improved memory management, and enhanced test reliability through permission-aware diagnostics and robust error handling. His work included API design, kernel driver interaction, and system programming, resulting in improved profiling fidelity, maintainability, and deployment readiness for ROCm users across diverse hardware and software configurations.

August 2025 monthly summary for ROCm/rocprofiler-sdk focused on resolving a deadlock in HSA code object testing and refactoring packet submission to improve profiler serialization reliability. Delivered targeted codepath improvements along with supporting utilities for signal and queue handling, enhancing test stability and downstream tooling reliability.
August 2025 monthly summary for ROCm/rocprofiler-sdk focused on resolving a deadlock in HSA code object testing and refactoring packet submission to improve profiler serialization reliability. Delivered targeted codepath improvements along with supporting utilities for signal and queue handling, enhancing test stability and downstream tooling reliability.
July 2025 monthly summary for ROCm/rocprofiler-sdk. Delivered a focused set of reliability and performance enhancements to the profiling system, with core changes centered on: (1) retry mechanism for HSA signal waits to handle transient issues, and (2) cache-based packet creation to reduce memory allocations and address a potential KFD firmware bug, complemented by thread-safety assertion and a shared pointer cache to ensure robust concurrency. These changes reduce fragmentation, improve data collection stability, and lower per-sample memory usage.
July 2025 monthly summary for ROCm/rocprofiler-sdk. Delivered a focused set of reliability and performance enhancements to the profiling system, with core changes centered on: (1) retry mechanism for HSA signal waits to handle transient issues, and (2) cache-based packet creation to reduce memory allocations and address a potential KFD firmware bug, complemented by thread-safety assertion and a shared pointer cache to ensure robust concurrency. These changes reduce fragmentation, improve data collection stability, and lower per-sample memory usage.
During May 2025, delivered a major standardization of the rocprofiler-sdk counter definitions by unifying the YAML schema, updating the YAML reader, and introducing a migration script to convert existing definitions to the new format. This work also included test updates and documentation changes to reflect the standardized schema, ensuring CI reliability and easier onboarding for new contributors. In addition, removed an extraneous log line (“Creating Profile Queue”) from agent_cache.cpp to reduce log noise and potential confusion during profiling. Together, these changes improve consistency, maintainability, and profiling signal clarity for ROCm users. Technologies demonstrated include YAML-based configuration, Python scripting for migrations, C++ code hygiene, and documentation/testing culture, aligning with business value of faster iterations, fewer defects, and clearer profiling workflows.
During May 2025, delivered a major standardization of the rocprofiler-sdk counter definitions by unifying the YAML schema, updating the YAML reader, and introducing a migration script to convert existing definitions to the new format. This work also included test updates and documentation changes to reflect the standardized schema, ensuring CI reliability and easier onboarding for new contributors. In addition, removed an extraneous log line (“Creating Profile Queue”) from agent_cache.cpp to reduce log noise and potential confusion during profiling. Together, these changes improve consistency, maintainability, and profiling signal clarity for ROCm users. Technologies demonstrated include YAML-based configuration, Python scripting for migrations, C++ code hygiene, and documentation/testing culture, aligning with business value of faster iterations, fewer defects, and clearer profiling workflows.
April 2025: Delivered a new SerializedAtomicRatio counter for the rocprofiler-sdk, introducing a metric that measures the ratio of cycles spent on serialized atomic accesses due to contention relative to total atomic operation cycles. This enables precise detection of high-contention hotspots and informs targeted optimizations in profiling workflows. The feature was implemented in ROCm/rocprofiler-sdk with the following commit: f143333df0978b7a614f5311942834ccfee8bd85 ("Add SerializedAtomicRatio counter (#327)"). This work enhances profiling fidelity and supports data-driven optimization across the ROCm stack.
April 2025: Delivered a new SerializedAtomicRatio counter for the rocprofiler-sdk, introducing a metric that measures the ratio of cycles spent on serialized atomic accesses due to contention relative to total atomic operation cycles. This enables precise detection of high-contention hotspots and informs targeted optimizations in profiling workflows. The feature was implemented in ROCm/rocprofiler-sdk with the following commit: f143333df0978b7a614f5311942834ccfee8bd85 ("Add SerializedAtomicRatio counter (#327)"). This work enhances profiling fidelity and supports data-driven optimization across the ROCm stack.
In March 2025, delivered foundational enhancements to the ROCProfiler counter subsystem and completed the ROCProfiler SDK API v1.0 release, with a focus on observability, reliability, and maintainability. The work enables runtime-derived counters, improved troubleshooting, and clearer API semantics, setting a stable surface for profiling workloads on ROCm-enabled platforms.
In March 2025, delivered foundational enhancements to the ROCProfiler counter subsystem and completed the ROCProfiler SDK API v1.0 release, with a focus on observability, reliability, and maintainability. The work enables runtime-derived counters, improved troubleshooting, and clearer API semantics, setting a stable surface for profiling workloads on ROCm-enabled platforms.
February 2025: ROCm/rocprofiler-sdk delivered synchronous device counter retrieval without mandatory buffering, added a usage example, hardened stability with memory-pool flag handling and context management refinements, and completed packaging improvements including version bump to 0.7.0 and installation fixes for the conversion script. These changes improve data latency, reliability, and deployment readiness for downstream users.
February 2025: ROCm/rocprofiler-sdk delivered synchronous device counter retrieval without mandatory buffering, added a usage example, hardened stability with memory-pool flag handling and context management refinements, and completed packaging improvements including version bump to 0.7.0 and installation fixes for the conversion script. These changes improve data latency, reliability, and deployment readiness for downstream users.
January 2025 performance sprint for ROCm/rocprofiler-sdk focused on stabilizing test reliability, expanding performance monitoring coverage, and ensuring robust memory handling. Implemented permission-aware diagnostics and test-skipping to reduce flakiness, extended ValuPipeIssueUtil metrics across newer architectures, and ensured memory execute permissions for HSA allocations to prevent counter collection failures. Outcomes position the profiling stack for more reliable data, broader hardware support, and lower maintenance in CI pipelines.
January 2025 performance sprint for ROCm/rocprofiler-sdk focused on stabilizing test reliability, expanding performance monitoring coverage, and ensuring robust memory handling. Implemented permission-aware diagnostics and test-skipping to reduce flakiness, extended ValuPipeIssueUtil metrics across newer architectures, and ensured memory execute permissions for HSA allocations to prevent counter collection failures. Outcomes position the profiling stack for more reliable data, broader hardware support, and lower maintenance in CI pipelines.
December 2024 monthly highlights for ROCm/rocprofiler-sdk. Key features delivered focus on device counter collection enhancements: expanding the API to support synchronous retrieval of sampled data and introducing an IOCTL path for system-wide and device-wide counters even when queues are not intercepted. These changes come with tests and permission error handling to ensure compatibility across configurations. Key achievements delivered: - Implemented synchronous device counter retrieval via an expanded API, reducing reliance on callbacks (commit 253c9adfc17d0ede33cadc79515d2c2bd2b18ebc). - Added support for device counter collection IOCTL for system-wide and device-wide counters even when queues are not intercepted, including tests and permission error handling (commit c574881cdb31f82a143e74223f2bee0af581a3cb). Impact and outcomes: - Enables broader and more reliable performance metrics collection, improving observability for customers and internal teams. - Simplifies usage by providing a synchronous API surface and a robust IOCTL path, reducing configuration complexity. - Improves compatibility across configurations with explicit tests around permission handling. Technologies and skills demonstrated: - C/C++ development for ROCm rocprofiler-sdk, API design, and kernel/user-space IOCTL integration - API surface evolution and robust testing strategies - Focus on reliability, permissions, and cross-configuration compatibility
December 2024 monthly highlights for ROCm/rocprofiler-sdk. Key features delivered focus on device counter collection enhancements: expanding the API to support synchronous retrieval of sampled data and introducing an IOCTL path for system-wide and device-wide counters even when queues are not intercepted. These changes come with tests and permission error handling to ensure compatibility across configurations. Key achievements delivered: - Implemented synchronous device counter retrieval via an expanded API, reducing reliance on callbacks (commit 253c9adfc17d0ede33cadc79515d2c2bd2b18ebc). - Added support for device counter collection IOCTL for system-wide and device-wide counters even when queues are not intercepted, including tests and permission error handling (commit c574881cdb31f82a143e74223f2bee0af581a3cb). Impact and outcomes: - Enables broader and more reliable performance metrics collection, improving observability for customers and internal teams. - Simplifies usage by providing a synchronous API surface and a robust IOCTL path, reducing configuration complexity. - Improves compatibility across configurations with explicit tests around permission handling. Technologies and skills demonstrated: - C/C++ development for ROCm rocprofiler-sdk, API design, and kernel/user-space IOCTL integration - API surface evolution and robust testing strategies - Focus on reliability, permissions, and cross-configuration compatibility
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