Cublaslt Grouped Gemm Jun 2026

cuBLASLt Grouped GEMM: Accelerating Irregular Matrix Workloads

int m = params.m, n = params.n, k = params.k; float h_alpha = params.alpha; void* workspace = nullptr; size_t workspaceSize = 32 * GitHub Tag:"gpu" | Microsoft Community Hub The set of legal kernel and algorithm choices changes with them. And that is the point most people miss. The runtime is not just r... Microsoft Community Hub 6 sites Accelerating MoE's with a Triton Persistent Cache-Aware Grouped ... Aug 18, 2025 — cublaslt grouped gemm

// For Batched/Grouped: Strides define the step to the next matrix in the group int64_t strideA = M * K; int64_t strideB = K * N; int64_t strideC = M * N; int batchCount = 100; // Number of GEMMs in the group Microsoft Community Hub 6 sites Accelerating MoE's with

Supports combinations like , BF16 , and FP16 with high-throughput Tensor Core acceleration. Fused Epilogues size_t workspaceSize = 1024 * 1024

// 4. Algorithm Heuristic Search cublasLtMatmulPreference_t preference; cublasLtMatmulPreferenceInit(&preference); size_t workspaceSize = 1024 * 1024; // 1MB workspace cublasLtMatmulPreferenceSetAttribute(preference, CUBLASLT_MATMUL_PREF_MAX_WORKSPACE_BYTES, &workspaceSize, sizeof(workspaceSize));