deepseek-ai/DeepEP-Ascend

（中文介绍）DeepEP-Ascend 是面向华为昇腾 NPU 的高性能机器学习训练与推理通信库，提供 MoE dispatch/combine 的专家并行（EP）all-to-all 操作，支持 FP8 dispatch 和延迟 epilogue。此外还提供流水线并行（PP）、面向上下文并行和数据并行（CP/DP）的 Bucket 集合通信，以及 Engram 远端内存访问等通信原语（开发中）。其公开 buffer API 与 NVIDIA 版 DeepEP 对齐。Ascend C 内核使用 HCCL/HCOMM、UBMEM 和 URMA 完成通信，并通过 DeepJIT 在运行时编译。 (English introduction) DeepEP-Ascend is a high-performance communication library for machine learning training and inference on Huawei Ascend NPUs. It provides expert-parallel (EP) all-to-all operations for MoE dispatch and combine, including FP8 dispatch and deferred epilogues. It also offers communication primitives (work in progress) for pipeline parallelism (PP), context and data parallelism through Bucket collectives (CP/DP), and remote memory access through Engram. Its public buffer APIs are aligned with the NVIDIA version of DeepEP. Ascend C kernels use HCCL/HCOMM, UBMEM and URMA, and are compiled at runtime through DeepJIT. Measured on Ascend 950DT NPUs with CANN 9.2.0 and the manually configured PoC HDK described under Recommended HDK and firmware. All measurements use netlayer 1, the supernode's external Clos network. The…