The road to hack SysML and become an system expert
☆512Sep 25, 2024Updated last year
Alternatives and similar repositories for hack-SysML
Users that are interested in hack-SysML are comparing it to the libraries listed below
Sorting:
- 🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Mod…☆3,770Jul 25, 2025Updated 7 months ago
- compiler learning resources collect.☆2,693Mar 19, 2025Updated last year
- 《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）☆4,781Updated this week
- A list of awesome compiler projects and papers for tensor computation and deep learning.☆2,734Oct 19, 2024Updated last year
- how to optimize some algorithm in cuda.☆2,872Updated this week
- System for AI Education Resource.☆4,237Oct 25, 2024Updated last year
- how to learn PyTorch and OneFlow☆489Mar 22, 2024Updated last year
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,247Jul 29, 2023Updated 2 years ago
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆921Dec 30, 2024Updated last year
- Yinghan's Code Sample☆364Jul 25, 2022Updated 3 years ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,945Updated this week
- ☆15Apr 15, 2022Updated 3 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆95Feb 20, 2026Updated 3 weeks ago
- FlashInfer: Kernel Library for LLM Serving☆5,145Updated this week
- GLake: optimizing GPU memory management and IO transmission.☆498Mar 24, 2025Updated 11 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,003Sep 19, 2024Updated last year
- DeepLearning Framework Performance Profiling Toolkit☆295Mar 28, 2022Updated 3 years ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,211Updated this week
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- row-major matmul optimization☆707Feb 24, 2026Updated 3 weeks ago
- Distributed Compiler based on Triton for Parallel Systems☆1,386Mar 11, 2026Updated last week
- A simple high performance CUDA GEMM implementation.☆426Jan 4, 2024Updated 2 years ago
- study of cutlass☆22Nov 10, 2024Updated last year
- Zero Bubble Pipeline Parallelism☆451May 7, 2025Updated 10 months ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆125Jun 23, 2022Updated 3 years ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,921Updated this week
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆192Jan 28, 2025Updated last year
- FlagGems is an operator library for large language models implemented in the Triton Language.☆917Updated this week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,864Mar 12, 2026Updated last week
- ☆1,995Jul 29, 2023Updated 2 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆453Mar 5, 2023Updated 3 years ago
- A primitive library for neural network☆1,367Nov 24, 2024Updated last year
- ☆150Jan 9, 2025Updated last year
- An Attention Superoptimizer☆22Jan 20, 2025Updated last year
- Simple Dynamic Batching Inference☆145Mar 8, 2022Updated 4 years ago
- play gemm with tvm☆92Jul 22, 2023Updated 2 years ago
- MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器☆484Oct 23, 2024Updated last year
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆9,932Updated this week
- ☆628Dec 18, 2025Updated 3 months ago