January 2026 performance summary for ROCm/composable_kernel: Delivered foundational refactor to gridwise GEMM orchestration by introducing a base class for gridwise GEMM operations, enabling consistent LDS layout handling and epilogue behaviors. This unification reduces duplication and accelerates future GPU-tensor kernel development. Enhanced configurability with new parameters (ForceNaiveLdsLayout, DirectLoad, IsMxGemm) to improve layout selection and epilogue control across xdl kernels. Migrated key layout descriptors and helper utilities to the base class (ABlockDescriptor_AK0PerBlock_MPerBlock_AK1, BBlockDescriptor_BK0PerBlock_NPerBlock_BK1, CShuffleBlockDescriptor_MBlock_MPerBlock_NBlock_NPerBlock, and related helpers) to improve maintainability and reuse. Centralized all C-epilogue logic under the base class (RunEpilogueNoShuffle, RunEpilogue, RunMultiDEpilogue, RunMoeEpilogue) to streamline variant paths and simplify experimentation. These changes lay groundwork for performance tuning and broader hardware support, enabling more robust and scalable kernel implementations while reducing code duplication.

December 2025: Delivered cross-architecture kernel enhancements and tensor tiling contractions in ROCm/composable_kernel. Implemented hardware-independent kernel optimizations, added contraction support on gfx12, and adjusted tolerance for gfx11 to boost reliability and performance. Refactored ck_tile to reduce duplication and improve maintainability. Ported hardware-independent changes from internal repo to develop branch (PR#3301).

Monthly summary for 2025-11: ROCm/composable_kernel delivered targeted fixes and performance improvements that improve reliability, compatibility, and efficiency of grouped GEMM workloads across GPU architectures. Key changes include memory allocation alignment for grouped GEMM (b1_tensors_device) to match b0_tensors_device, enabling gfx11/gfx12 ops and advancing GEMM quantization and profiling capabilities, and gfx12 testing with tile-size tuning to ensure stable builds and performance. These efforts translate to improved cross-architecture performance, easier deployment on newer GPUs, and stronger profiling/quantization support for future workloads.

January currently? No. The requested month is 2025-09. Provide a concise monthly summary focusing on business value and technical achievements for ROCm/composable_kernel.

August 2025 monthly summary for ROCm/composable_kernel. Focused on expanding hardware support, stabilizing builds, and delivering architecture-aware kernel enhancements. Key work spanned Wave32 integration in CK_TILE, RDNA3/4 and gfx11/gfx12 compatibility in XDL, and regression fixes to improve reliability across the stack.

In July 2025, contributions to StreamHPC/rocm-libraries focused on stabilizing cross-platform builds and expanding data-layout support for convolutions. Key work included: 1) Cross-Platform Build and Compilation Corrections: fixed Windows build errors by adjusting compiler flags and architecture-specific type casting; refactored example code for clarity; applied a minor synchronization primitives fix to improve cross-platform stability and robustness. This work reduces Windows build failures and enhances reliability across platforms. 2) NCHW Data Layout Support for Grouped Convolution Backward Data: ported NCHW support to DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1 by introducing a dedicated NCHW instance, broadening applicability and flexibility for models using NCHW inputs. This involved porting NCHW logic from ConvFwd and aligning with the Xdl_CShuffle_v1 path. 3) Maintenance and Cleanliness: simplified build-time conditionals in CK kernels to improve maintainability and reduce risk in future platform-specific builds. Overall impact: Production-grade stability across Windows and Linux/macOS toolchains; expanded model support for grouped convolutions with NCHW layouts; lower maintenance burden and clearer code paths for cross-platform builds. Technologies/Skills demonstrated: C++/HIP kernel development, cross-platform debugging and build engineering, data-layout porting, code refactoring for clarity, and attention to build-system health across HIP/ROCm ecosystems.

June 2025 monthly summary for StreamHPC/rocm-libraries: Focused on delivering key features, stabilizing builds, and extending data-layout support to improve performance portability and maintainability. Key work includes multi-configuration GEMM benchmarking and WMMA groundwork in CK_TILE; RMSNorm2d build stability fix in tile integration; FP8 support enhancements in flatmm; and NCHW layout support with optimization for DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle. These changes enable broader benchmarking, more robust builds, and improved FP8 and NCHW workloads. Commits: 0eb8974502df073be0e131f25435a30ecbf9a656; 7aeec9a901e7e502e8d6ff8538b74cf0944ce318; 37e1a2753702f003b751425502e037f2384aaa5f; 1749c0409e69b4b736a47139a6b34d8bb92cd147.