基于MPC 与 DeepGEMM 的深度融合,就可以尝试构想一种全新的 MPC-GEMM 方案:基于秘密共享重构 DeepSeek DeepGEMM kernel。该方案的核心思想是:将 MPC 协议中与 GEMM 运算相关的计算逻辑(秘密份额的加法、乘法)直接实现在 DeepGEMM 的 CUDA kernel 中,让 GPU 直接执行一个完整的“MPC-GEMM”运算。 方案的设...
核心kernel主要是deep_gemm/include/deep_gemm/fp8_gemm.cuh函数部分 按顺序阅读下来并不复杂,我们依次看来 常量准备阶段,prefetch数据 使用constexpr准备了大量编译期常量,以及prefectch了4个需要用的数据 主要参数如下: kNumTMAThreads = 128; kNumMathThreads = 128 或 256; 该数据主要是都是由于一个wrapgrou...
除了官方提供的WMMA, BMMA的两种实现,本文将介绍通过使用Cute 框架来重新实现ABQ-LLM customized GEMM,对比性能及总结cute的优缺点。Cute 版本的代码 发布在GitHub - CalebDu/ABQ-LLM at caleb_dev 实现 cute版本的核心kernel代码为ABQ-LLM/engine/mma_any/aq_cute_kernel.h、ABQ-LLM/engine/mma_any/aq_cute_a...
Figure 1: Throughput of current mixed input linear kernels on a H100 (marlin,gemlite,fbgemm_i4) (benchmarking code) We are excited to announceMachete, Neural Magic's latest advancement in mixed-input quantization performance. This kernel is the spiritual successor to theMarlin kernelscreated...
kernel satisfies alignment static Status can_implement( cutlass::gemm::GemmCoord const & problem_size CUTLASSTRACEHOST("GemmUniversal:can_()"); static int const kAlignmentA = (cute:is_same<LayoutA, layout::ColumnInterleaved<32>>::value) ? 32 : (cute:_same<LayoutA, ...
Motivation #3323 Grouped Gemm kernel added in Cublas 12.5 is useful. It can be applied to MoE EP layer/Lora layer for acceleration. Modifications Add cublas_grouped_gemm in sgl-kernel library, an...
Library for specialized dense and sparse matrix operations, and deep learning primitives. - History for samples/xgemm/gemm_kernel.c - libxsmm/libxsmm
kernel satisfies alignment static Status can_implement( cutlass::gemm::GemmCoord const & problem_size CUTLASSTRACEHOST("GemmUniversal:can_()"); static int const kAlignmentA = (cute:is_same<LayoutA, layout::ColumnInterleaved<32>>::value) ? 32 : (cute:_same<LayoutA, ...
can gemm function also be called within user's kernel code? For example, sycl::queue queue;queue.submit([&](sycl::handler& cgh) { cgh.parallel_for(range,[=](…) { oneapi::mkl::blas::gemm(...); // calling routine from user’s kernel code }); }); If so, do we...
can gemm function also be called within user's kernel code? For example, sycl::queue queue;queue.submit([&](sycl::handler& cgh) { cgh.parallel_for(range,[=](…) { oneapi::mkl::blas::gemm(...); // calling routine from user’s kernel code }); }); If so, do we need to ...