Long-context training runs on sequences whose lengths span orders of magnitude, and dynamic context parallelism (DCP) gives each sequence its own CP degree. Existing DCP systems either do not scale or perform poorly on mainstream models, leaving Megatron-Core (Mcore) DCP as the only option at production scale. Mcore DC...
Zi-Hao Fan, Yun-Zhuo Liu, Bo Jiang et al.· 0 citations
The gateway breaks the direct-connect data plane and consolidates legacy API integration, protocol bridging, access control, and session-aware routing, while scaling out elastically at low per-call overhead.
Ming-Xing Li, Enge Song, Yueshang Zuo et al.· Asia-Pacific Workshop on Net...· 0 citations
A cloud-scale gateway system for MCP service is presented, which breaks the direct-connect model on the data plane and offloads legacy service integration, consolidating incompatible MCP variants, access control, tool recommendation, and session-aware routing to the gateway.
An architecture that decouples complex policy enforcement from high-speed packet forwarding to support VPC semantics on back-end NICs and enable front-end/back-end integration is proposed, suggesting that commodity hardware can support both high-throughput AI training and flexible VPC features.
Yinhe Wang, Xing Li, Enge Song et al.· Asia-Pacific Workshop on Net...· 0 citations
ParaFlowO is proposed, an architecture that Parallelizes processing elephant Flows across multiple CPU cores while preserving in-Order delivery and integrates a lightweight reordering mechanism to preserve packet order and controls parallelism to mitigate contention on shared state.
Chang-Gang Zheng, Bowen Yang, Jin Ke et al.· Asia-Pacific Workshop on Net...· 1 citation
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