yinuotxie / Efficient-LLM-Inferencing-on-GPUs
Penn CIS 5650 (GPU Programming and Architecture) Final Project
☆30Updated last year
Alternatives and similar repositories for Efficient-LLM-Inferencing-on-GPUs:
Users that are interested in Efficient-LLM-Inferencing-on-GPUs are comparing it to the libraries listed below
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆35Updated 2 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆91Updated 3 weeks ago
- ☆92Updated 7 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆36Updated 3 weeks ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆73Updated 3 weeks ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆91Updated 6 years ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆63Updated 8 months ago
- ☆69Updated last week
- Standalone Flash Attention v2 kernel without libtorch dependency☆108Updated 7 months ago
- Optimize GEMM with tensorcore step by step☆25Updated last year
- ☆65Updated last week
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆86Updated 3 months ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆42Updated last month
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆51Updated last year
- play gemm with tvm☆90Updated last year
- Implement Flash Attention using Cute.☆76Updated 4 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆106Updated 9 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆181Updated 2 months ago
- ☆148Updated 3 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆206Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆159Updated 2 months ago
- llama INT4 cuda inference with AWQ☆54Updated 3 months ago
- ☆90Updated 3 weeks ago
- ☆139Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆61Updated 7 months ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆56Updated last year
- 使用 CUDA C++ 实现的 llama 模型推理框架☆50Updated 5 months ago
- LLM Inference analyzer for different hardware platforms☆62Updated 3 weeks ago
- Optimize softmax in triton in many cases☆20Updated 7 months ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆97Updated last year