Infrawaves / DeepEP_ibrc_dual-ports_multiQP
Aims to implement dual-port and multi-qp solutions in deepEP ibrc transport
☆39Updated this week
Alternatives and similar repositories for DeepEP_ibrc_dual-ports_multiQP
Users that are interested in DeepEP_ibrc_dual-ports_multiQP are comparing it to the libraries listed below
Sorting:
- A lightweight design for computation-communication overlap.☆92Updated last week
- ☆58Updated 2 weeks ago
- FlexFlow Serve: Low-Latency, High-Performance LLM Serving☆37Updated this week
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆75Updated last month
- ☆68Updated 3 weeks ago
- ☆51Updated this week
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆34Updated 2 weeks ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆18Updated 7 months ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆44Updated last month
- A practical way of learning Swizzle☆19Updated 3 months ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆25Updated 3 months ago
- DeeperGEMM: crazy optimized version☆69Updated last week
- ☆61Updated last month
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆73Updated last week
- ☆68Updated 3 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆36Updated last month
- ☆25Updated 2 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆84Updated this week
- Quantized Attention on GPU☆45Updated 5 months ago
- ☆11Updated 2 months ago
- FractalTensor is a programming framework that introduces a novel approach to organizing data in deep neural networks (DNNs) as a list of …☆26Updated 4 months ago
- Implement Flash Attention using Cute.☆82Updated 4 months ago
- High performance Transformer implementation in C++.☆122Updated 3 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆64Updated 9 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆60Updated 11 months ago
- Ultra | Ultimate | Unified CCL☆66Updated 2 months ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆108Updated 8 months ago
- ☆19Updated 7 months ago
- The official implementation for the intra-stage fusion technique introduced in https://arxiv.org/abs/2409.13221