sgl-project / tensorrt-demoLinks
TensorRT LLM Benchmark Configuration
☆13Updated 11 months ago
Alternatives and similar repositories for tensorrt-demo
Users that are interested in tensorrt-demo are comparing it to the libraries listed below
Sorting:
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆19Updated last week
- Benchmark tests supporting the TiledCUDA library.☆16Updated 7 months ago
- GPTQ inference TVM kernel☆40Updated last year
- ☆49Updated last month
- Quantized Attention on GPU☆44Updated 7 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆38Updated 2 weeks ago
- Odysseus: Playground of LLM Sequence Parallelism☆70Updated last year
- DeeperGEMM: crazy optimized version☆69Updated last month
- ☆60Updated 2 months ago
- ☆14Updated this week
- 方便扩展的Cuda算子理解和优化框架,仅用在学习使用☆15Updated last year
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆41Updated last month
- ☆39Updated this week
- ☆11Updated 3 months ago
- A practical way of learning Swizzle☆20Updated 4 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆77Updated last week
- ☆19Updated 8 months ago
- An Attention Superoptimizer☆21Updated 5 months ago
- FractalTensor is a programming framework that introduces a novel approach to organizing data in deep neural networks (DNNs) as a list of …☆26Updated 6 months ago
- ☆71Updated last month
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆16Updated 2 weeks ago
- A simple calculation for LLM MFU.☆38Updated 3 months ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆57Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆90Updated 2 weeks ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆18Updated 8 months ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆48Updated 3 months ago
- ☆77Updated 2 months ago
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆54Updated 2 weeks ago
- ☆31Updated last month
- Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend☆54Updated this week