bytedance / xpu-perfView external linksLinks
AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.
☆298Updated this week
Alternatives and similar repositories for xpu-perf
Users that are interested in xpu-perf are comparing it to the libraries listed below
Sorting:
- A model compilation solution for various hardware☆464Aug 20, 2025Updated 5 months ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆477Mar 15, 2024Updated last year
- ☆23Dec 8, 2022Updated 3 years ago
- Perplexity GPU Kernels☆560Nov 7, 2025Updated 3 months ago
- study of cutlass☆22Nov 10, 2024Updated last year
- ☆177Aug 9, 2023Updated 2 years ago
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆56Jul 3, 2022Updated 3 years ago
- Running BERT without Padding☆480Mar 18, 2022Updated 3 years ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,247Aug 28, 2025Updated 5 months ago
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆22Updated this week
- Benchmark tests supporting the TiledCUDA library.☆18Nov 19, 2024Updated last year
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆148May 10, 2025Updated 9 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆410Updated this week
- Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs☆929Nov 27, 2025Updated 2 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Sep 13, 2025Updated 5 months ago
- HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration☆15Sep 14, 2020Updated 5 years ago
- An external memory allocator example for PyTorch.☆16Aug 10, 2025Updated 6 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,006Sep 19, 2024Updated last year
- ☆206May 5, 2025Updated 9 months ago
- HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing (FPGA'19 Best Paper)☆341Apr 20, 2024Updated last year
- ☆97Mar 26, 2025Updated 10 months ago
- A primitive library for neural network☆1,368Nov 24, 2024Updated last year
- FlagGems is an operator library for large language models implemented in the Triton Language.☆898Updated this week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆106Jun 28, 2025Updated 7 months ago
- ☆152Jan 9, 2025Updated last year
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆20Aug 3, 2025Updated 6 months 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…☆3,152Feb 7, 2026Updated last week
- CUDA Kernel Benchmarking Library☆813Updated this week
- ☆71Mar 26, 2025Updated 10 months ago
- MegEngine到其他框架的转换器☆69Apr 27, 2023Updated 2 years ago
- Distributed Compiler based on Triton for Parallel Systems☆1,350Updated this week
- 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☆488Oct 23, 2024Updated last year
- ☆65Apr 26, 2025Updated 9 months ago
- FlashInfer: Kernel Library for LLM Serving☆4,935Updated this week
- A list of awesome compiler projects and papers for tensor computation and deep learning.☆2,728Oct 19, 2024Updated last year
- An MLIR-based compiler from C/C++ to AMD-Xilinx Versal AIE☆18Aug 5, 2022Updated 3 years ago
- PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo☆17Mar 13, 2023Updated 2 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆567Apr 20, 2023Updated 2 years ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,859Feb 7, 2026Updated last week