yinuotxie / Efficient-LLM-Inferencing-on-GPUs
Penn CIS 5650 (GPU Programming and Architecture) Final Project
☆25Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for Efficient-LLM-Inferencing-on-GPUs
- ☆79Updated 2 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆85Updated 8 months ago
- play gemm with tvm☆84Updated last year
- llama INT4 cuda inference with AWQ☆48Updated 4 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆52Updated 3 months ago
- ☆79Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆50Updated 2 months ago
- Examples of CUDA implementations by Cutlass CuTe☆101Updated last week
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆29Updated 2 months ago
- ☆48Updated this week
- TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.☆157Updated this week
- Summary of some awesome work for optimizing LLM inference☆37Updated this week
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆181Updated last year
- Tutorials of Extending and importing TVM with CMAKE Include dependency.☆11Updated last month
- Benchmark code for the "Online normalizer calculation for softmax" paper☆59Updated 6 years ago
- ☆79Updated 8 months ago
- ☆57Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆90Updated 4 months ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆114Updated 2 years ago
- DietCode Code Release☆61Updated 2 years ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆98Updated 2 months ago
- ☆19Updated this week
- ☆138Updated 2 weeks ago
- ☆169Updated 4 months ago
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆26Updated last year
- ☆132Updated 4 months ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆56Updated 11 months ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆43Updated last year
- High performance Transformer implementation in C++.☆83Updated 2 months ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆46Updated 5 months ago