Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs
Read this because Researchers and engineers working with diffusion-based language models can significantly reduce inference latency and memory overhead by adopting this training-free acceleration framework.
Flash-dLLM introduces an I/O-aware fused KV-cache kernel and parallel decoding strategy to accelerate diffusion LLMs without auxiliary models.