

January 2026 monthly summary for ROCm/TheRock: Implemented AMDSMI dependency adoption for hipBLASLt and hipSPARSELt, replacing ROCmSMI and preparing libraries for future AMDSMI updates. This work enhances functionality, reduces maintenance risk associated with ROCmSMI, and aligns with the roadmap for AMDSMI integration and performance improvements.
January 2026 monthly summary for ROCm/TheRock: Implemented AMDSMI dependency adoption for hipBLASLt and hipSPARSELt, replacing ROCmSMI and preparing libraries for future AMDSMI updates. This work enhances functionality, reduces maintenance risk associated with ROCmSMI, and aligns with the roadmap for AMDSMI integration and performance improvements.
Month: 2025-10 – Focused on performance tuning for gfx950 matrix operations and Equality library within ROCm/rocm-libraries. Consolidated tuning across BBS TN/NT/NN, F8BS_TN, and SGEMM to boost hipBLASLt workloads on gfx950. Implemented YAML-driven configuration updates with new sizes, optimized macro tile sizes, wave group/tile configurations, and non-temporal memory access. All changes validated against representative workloads and documented for reproducibility. This work builds a solid foundation for gfx950 performance gains and supports future optimizations for the Equality library and related matrix ops.
Month: 2025-10 – Focused on performance tuning for gfx950 matrix operations and Equality library within ROCm/rocm-libraries. Consolidated tuning across BBS TN/NT/NN, F8BS_TN, and SGEMM to boost hipBLASLt workloads on gfx950. Implemented YAML-driven configuration updates with new sizes, optimized macro tile sizes, wave group/tile configurations, and non-temporal memory access. All changes validated against representative workloads and documented for reproducibility. This work builds a solid foundation for gfx950 performance gains and supports future optimizations for the Equality library and related matrix ops.
Month: 2025-09 — Summary: This month, ROCm rocm-libraries delivered performance-focused enhancements for gfx950 Tensor Network (TN) workloads, including F8BS_TN and BBS configurations. Implemented new tuning parameters, row-wise scaling, kernel tiling/loop unrolling, and optimized memory access patterns with new size configurations to boost throughput on gfx950 hardware. No major bugs fixed in this period. Business impact: improved GPU throughput for tensor-network workloads, enabling faster ML inference/training and better hardware utilization. Technologies demonstrated: performance tuning, kernel optimizations, memory hierarchy optimization, tuning framework expansion, and close collaboration with hardware teams.
Month: 2025-09 — Summary: This month, ROCm rocm-libraries delivered performance-focused enhancements for gfx950 Tensor Network (TN) workloads, including F8BS_TN and BBS configurations. Implemented new tuning parameters, row-wise scaling, kernel tiling/loop unrolling, and optimized memory access patterns with new size configurations to boost throughput on gfx950 hardware. No major bugs fixed in this period. Business impact: improved GPU throughput for tensor-network workloads, enabling faster ML inference/training and better hardware utilization. Technologies demonstrated: performance tuning, kernel optimizations, memory hierarchy optimization, tuning framework expansion, and close collaboration with hardware teams.
Monthly summary for 2025-08: Focused on performance optimization and configuration expansion for gfx942 within StreamHPC/rocm-libraries. Delivered architecture-specific tuning and YAML-driven configuration updates to improve throughput and compatibility for gfx942 matrix-multiplication workloads (BBS NT, NN, TN, and F8NBS TN). All changes are tracked in commit 8cbcc410bf0d332c2bf1c11550939c23414e9351. No major bugs fixed this month; stability maintained. Business value: higher performance on gfx942, broader hardware support, and reduced configuration friction for end users.
Monthly summary for 2025-08: Focused on performance optimization and configuration expansion for gfx942 within StreamHPC/rocm-libraries. Delivered architecture-specific tuning and YAML-driven configuration updates to improve throughput and compatibility for gfx942 matrix-multiplication workloads (BBS NT, NN, TN, and F8NBS TN). All changes are tracked in commit 8cbcc410bf0d332c2bf1c11550939c23414e9351. No major bugs fixed this month; stability maintained. Business value: higher performance on gfx942, broader hardware support, and reduced configuration friction for end users.
June 2025 focused on performance optimization for gfx942 BBS_TN kernels within StreamHPC/rocm-libraries. Consolidated tuning across GridBased and Batch-Batch-Solve/Batch-Matrix-Matrix Multiply paths, introducing new kernel configurations, problem-size aware sizing, and YAML parameter updates to boost runtime efficiency across a range of problem sizes and data types. Deliveries were implemented through a sequence of iterative commits, driving hardware-aware optimizations and maintainable configuration workflows.
June 2025 focused on performance optimization for gfx942 BBS_TN kernels within StreamHPC/rocm-libraries. Consolidated tuning across GridBased and Batch-Batch-Solve/Batch-Matrix-Matrix Multiply paths, introducing new kernel configurations, problem-size aware sizing, and YAML parameter updates to boost runtime efficiency across a range of problem sizes and data types. Deliveries were implemented through a sequence of iterative commits, driving hardware-aware optimizations and maintainable configuration workflows.
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