flashinfer-ai / debug-print
Debug print operator for cudagraph debugging
☆10Updated 8 months ago
Alternatives and similar repositories for debug-print:
Users that are interested in debug-print are comparing it to the libraries listed below
- ☆19Updated 6 months ago
- ☆55Updated 2 weeks 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
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆42Updated last month
- Quantized Attention on GPU☆45Updated 5 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆29Updated 4 months ago
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆33Updated last month
- ☆31Updated this week
- ThrillerFlow is a Dataflow Analysis and Codegen Framework written in Rust.☆14Updated 5 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆82Updated this week
- DeeperGEMM: crazy optimized version☆67Updated 3 weeks ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆45Updated 9 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆73Updated 3 weeks ago
- Benchmark tests supporting the TiledCUDA library.☆16Updated 5 months ago
- ☆68Updated 3 months ago
- ☆67Updated this week
- Canvas: End-to-End Kernel Architecture Search in Neural Networks☆26Updated 5 months ago
- A practical way of learning Swizzle☆18Updated 2 months ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆17Updated 6 months ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆25Updated 2 months ago
- GPTQ inference TVM kernel☆38Updated last year
- ☆26Updated last year
- 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
- TensorRT LLM Benchmark Configuration☆13Updated 9 months ago
- Tutorials of Extending and importing TVM with CMAKE Include dependency.☆13Updated 6 months ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆18Updated this week
- llama INT4 cuda inference with AWQ☆54Updated 3 months ago
- ☆9Updated last year
- ☆15Updated 3 weeks ago
- FlexFlow Serve: Low-Latency, High-Performance LLM Serving☆34Updated last week