July 2025 performance summary: Focused on delivering Cupti Performance Monitoring (PM) sampling support for the GPU profiler across three major projects, enabling concrete performance visibility and tuning across CUDA and ROCm ecosystems. Key features delivered: - Intel-tensorflow/tensorflow: Cupti GPU Profiler PM Sampling – Adds support for sampling PM in the Cupti GPU profiler, implements a PM sampler, configuration options, and integrates with the existing profiling infrastructure. Includes unit tests validating PM sampling functionality. (Commit 5c59c8181b19072b4fe0eb94ff3aca16c1221028; PR #24406) - ROCm/tensorflow-upstream: Cupti PM Sampling support in GPU Profiler – Introduces APIs to configure and collect performance metrics, adds build targets, implements PM sampling logic, and ensures proper error handling and resource management for profiling features. (Commit 402c11d3b69b27458bde5508b673fbcc8f6756c3; PR #24406) - openxla/xla: GPU Profiler Cupti PM Sampling Support – Integrates CUPTI APIs for performance metric sampling, includes necessary headers, factory functions, and PM sampling implementation, plus a unit test validating collected data. (Commit 6a22ab1e26b0ce971fcc8f6d7bf0851aaf9e1c8f; PR #24406) Major bugs fixed: - No explicit bug fixes documented in the scope of this month’s work; focus was on feature enablement and test coverage for Cupti PM sampling in the GPU profiler across the three repositories. Overall impact and accomplishments: - Delivered cross-repo Cupti PM sampling capability, providing actionable GPU performance metrics and enabling faster diagnosis and optimization of GPU workloads. - Established a consistent PM sampling feature across Intel-tensorflow, ROCm-tensorflow-upstream, and OpenXLA/XLA, reducing integration effort for downstream users. - Enhanced profiling reliability through dedicated unit tests and robust error handling/resource management in the new PM sampling paths. Technologies/skills demonstrated: - CUPTI APIs and GPU performance metric sampling integration - GPU profiler enhancement and configuration management - Build target orchestration and cross-repo integration - Unit testing and data validation for performance metrics - Cross-project collaboration and consistency in feature delivery