ByteDance-Seed / cudaLLMLinks
☆121Updated 3 months ago
Alternatives and similar repositories for cudaLLM
Users that are interested in cudaLLM are comparing it to the libraries listed below
Sorting:
- ☆109Updated 6 months ago
- ☆65Updated 6 months ago
- Implement Flash Attention using Cute.☆96Updated 11 months ago
- ☆50Updated 6 months ago
- Quantized Attention on GPU☆44Updated last year
- DeeperGEMM: crazy optimized version☆73Updated 6 months ago
- ☆83Updated 9 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆127Updated 6 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆130Updated 5 months ago
- Distributed MoE in a Single Kernel [NeurIPS '25]☆125Updated last month
- [HPCA 2025] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆62Updated last week
- ☆97Updated 7 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆189Updated 9 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆100Updated 4 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆143Updated 2 months ago
- ☆102Updated last year
- ☆39Updated 3 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆45Updated 5 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆229Updated 3 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆154Updated last month
- Framework to reduce autotune overhead to zero for well known deployments.☆85Updated 2 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆52Updated last year
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆59Updated 7 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆134Updated last week
- TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators☆95Updated 5 months ago
- Fast and memory-efficient exact kmeans☆122Updated last week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆121Updated last year
- ☆93Updated last year
- ☆33Updated last month
- ☆143Updated this week