A fixed-capacity MoE execution path that combines expert-parallel communication and fused kernels under CUDA Graph constraints.在 CUDA Graph 约束下,联合设计专家并行通信与融合内核的固定容量 MoE 执行路径。
Projects项目
Proposed runtime changes to keep imbalanced data-parallel decode compatible with captured microbatches and logical output ordering.提出运行时修改,使不均衡的数据并行解码兼容已捕获的微批布局,并保持逻辑输出顺序。
A readable PyTorch runtime serves the real DeepSeek-V4.1-Flash on 4 × B200 and matches the official reference within 0.05 logits across every scheduling mode.用可读的 PyTorch 运行时在 4 × B200 上服务真实 DeepSeek-V4.1-Flash,在所有调度模式下与官方参考实现的 logits 差距小于 0.05。
An opt-in NVLink Engram-fetch proposal enables a single-node execution path when NCCL GIN is unavailable.提出可选的 NVLink Engram 读取方案,为无法使用 NCCL GIN 的节点提供单节点执行路径。
A merged session-aware vLLM runner replays workload traces while preserving request order, arrival times and tool waits.已合并的会话级 vLLM 执行器,在重放负载轨迹时保留请求顺序、到达时间与工具等待。
A Qwen2.5 integration proposal adds model-graph, tokenizer and execution-path support to the Ascend inference framework.通过 Qwen2.5 集成提案,为昇腾推理框架补充模型计算图、分词器与执行路径支持。
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Try All or another field. Projects are classified by their primary contribution.可以查看 All 或其他领域;项目按主要技术贡献归类。