July 2026 monthly performance summary for ROCm/aiter: Delivered substantial MLA kernel and Triton-based optimizations to boost attention throughput and scalability for large models. Implemented Multi-Token Prediction (MTP) support in Gluon MLA decode with a grid-axis kernel design, enabling qlen 1–17 within a single compiled kernel and efficient masking. Achieved 96-head MLA tiling (nhead=96) with updated masking and tests to validate reliability at larger head counts. Stabilized Triton integration through asynkmarker configuration updates, reducing asynchronous execution issues. Expanded test coverage for MTP, 96-head tiling, and decoding paths to ensure robustness. Business value: higher throughput, lower latency for large attention workloads, and reduced risk of regressions; technical milestones demonstrate proficiency in GPU-accelerated ML kernels and Triton-based optimization.

Monthly summary for 2026-05 focused on stability and correctness in Triton kernel compilation. Delivered a critical fix to MLIR CanonicalizePointers that prevents out-of-bounds errors when basic blocks have multiple predecessors. Implemented a shared convertedBlocks tracker to avoid redundant signature conversions and ensured proper fat-pointer expansion across block argument remappings. The work enhances reliability of pointer canonicalization in if/elif control paths, reducing kernel crashes and debugging time for users. Commit referenced: 28c73277042f3140a7c8c448913416d24fb57e61.