July 2025 performance month summary focusing on delivered business value and technical achievements across ROCm/hipFFT and ROCm/rocFFT. Key features delivered, major bugs fixed, overall impact, and demonstrated technologies are outlined below with traceable commits for accountability. Key features delivered: - ROCm/rocFFT: Enhanced Performance Testing Framework with multi-GPU and MPI support; refactored parsing to extract data decomposition and process grid information for distributed performance analysis. Commit reference: 45e25bb62989bd0710be605bd81eaf16b560dc70 (Enable PTS for multi-GPU and MPI rocFFT). - hipFFT: Stability improvements in test initialization to prevent memory leaks and double allocations; improved 1D plan initialization by switching to an invalid plan handle constant to prevent subsequent errors. Commits: f540a334a9e91e0c51b3b6ef9715535476f30f3b (Prevent double allocation and memory leak in hipfft test) and 32f07eb9f0071881aaf1ee81dd8c2261a7bd0500 (Fix 1d plan initialization in simple_test). Major bugs fixed: - hipFFT test suite: fixes to prevent memory leaks and unintended double allocations during test initialization; robust 1D plan initialization to avoid cascading errors. - ROCm/rocFFT CI: disabled -Werror to prevent warnings-as-errors from breaking CI builds. Commit: 400ac0b09bddf3dfade97c5a61b669f06bd861bb. Overall impact and accomplishments: - Improved stability and reliability of test pipelines, enabling more robust performance analysis in distributed configurations. - Reduced CI flakiness, leading to faster feedback loops and higher confidence in performance measurements. - Enabled multi-GPU and MPI-based performance evaluation for rocFFT, providing deeper insights into scaling and bottlenecks. Technologies/skills demonstrated: - HIP/hipFFT and rocFFT APIs, memory management patterns, and plan lifecycle handling. - Multi-GPU and MPI-based performance testing frameworks and data decomposition/processing grid extraction. - CI/CD stabilization techniques such as selectively disabling flags (e.g., -Werror) to ensure stable CI outcomes. - Code refactoring for test reliability and test suite robustness. Business value: - Faster, more reliable performance diagnostics across distributed configurations, improving optimization cycles and product reliability for ROCm-enabled workloads.

May 2025 ROCm/rocFFT: Delivered a performance-focused optimization for the global transpose path by shifting to all-to-all MPI communication. Introduced a CommAllToAll structure and refactored GlobalTransposeA2A to leverage MPI_Ialltoall when available, with MPI_Ialltoallv as a fallback for more complex scenarios. Also enforced immutability of core communication structures by making member variables const post-initialization, contributing to stability and maintainability.

April 2025: Delivered build-system simplifications and memory reporting improvements for ROCm/rocFFT and ROCm/hipFFT. The work reduces maintenance burden, eliminates legacy compatibility, and improves accuracy of memory metrics in containerized environments, enabling more reliable performance planning and resource management.

Summary for 2025-03: Focused on simplifying the codebase by deprecating outdated GPU targets and improving FFT workloads scalability across multiple GPUs. In ROCm/hipFFT and ROCm/rocFFT, deprecated GFX940/GFX941 targets, updated build and tooling, and expanded multi-GPU support within MPI ranks with per-process GPU grid configuration. These changes reduce maintenance costs, align with current hardware, and unlock better utilization of modern GPUs for FFT workloads. Build, CHANGELOG, and test updates accompany the changes to ensure stability across configurations.

January 2025 monthly work summary focusing on HipFFT documentation improvements and multi-GPU usage scenarios within ROCm/hipFFT to improve developer onboarding and integration.

December 2024 ROCm/rocFFT monthly summary focusing on robustness and reliability improvements for transpose grid allocation. Key work includes fixing critical GPU-grid allocation bugs and refining grid dimension handling for 1D/3D configurations to support large-scale transforms.

November 2024 - ROCm/rocFFT monthly summary. Focused on scalable performance testing enhancements in rocfft-perf to enable multi-GPU benchmarking and MPI-based execution. Implemented multi-GPU benchmarking across GPU configurations and added test suites for multi-GPU, strong scaling, and weak scaling. Introduced MPI-based performance testing with configurable MPI path, number of processes, and processor grids to enable cross-node scalability. In addition to feature work, no major bug fixes were documented this period. These changes improve benchmarking coverage, reproducibility, and provide actionable performance insights for optimization.

October 2024: Implemented a Multi-GPU Benchmarking Harness for rocFFT in ROCm/rocFFT. The feature enables multi-process and multi-GPU benchmarking by allowing configurable GPU counts, input/output grids, and workload distribution across processes and GPUs to boost benchmarking coverage and scalability. Commit: a97b267191b776d4a7c13c7477ef761dd476b008.