moonquest-ai / SRDALinks
☆24Updated 3 weeks ago
Alternatives and similar repositories for SRDA
Users that are interested in SRDA are comparing it to the libraries listed below
Sorting:
- ☆60Updated 2 months ago
- ☆71Updated last month
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆54Updated 2 weeks ago
- Quantized Attention on GPU☆44Updated 7 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆113Updated last month
- 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
- DeeperGEMM: crazy optimized version☆69Updated last month
- ☆49Updated last month
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆49Updated 2 weeks ago
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆41Updated last month
- ☆114Updated 3 weeks ago
- Implement Flash Attention using Cute.☆87Updated 6 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆47Updated 11 months ago
- 16-fold memory access reduction with nearly no loss☆99Updated 3 months ago
- A sparse attention kernel supporting mix sparse patterns☆238Updated 4 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆31Updated 6 months ago
- Estimate MFU for DeepSeekV3☆24Updated 5 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆116Updated 6 months ago
- ☆87Updated 3 months ago
- ☆75Updated 5 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆123Updated 4 months ago
- XAttention: Block Sparse Attention with Antidiagonal Scoring☆166Updated this week
- TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators☆59Updated 2 weeks ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆128Updated 2 months ago
- High performance Transformer implementation in C++.☆125Updated 5 months ago
- CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…☆151Updated this week
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆128Updated this week
- ☆97Updated 9 months ago
- ☆54Updated last year
- A lightweight design for computation-communication overlap.☆143Updated last week