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博客文章介绍如何通过 CyclicBarrier 将锁步(lockstep)tick 游戏循环改造为流水线(pipeline)tick 系统,只需约三行代码改动即可让读写阶段并行执行,从而将 tick 时间从读写时间之和降到最大单阶段时间,同时保留背压与超时跟踪能力。
This paper introduces techniques to manage memory peaks in training large Mixture-of-Experts models with long context lengths, including Pipelined LLEP, Ring-DTP, SCO, and OffloadStreamAdamW, which enable fixed GPU working sets and improve throughput up to 10.4x.
StreamMA introduces a streaming communication paradigm for multi-agent reasoning that pipelines intermediate results to reduce latency and improve effectiveness by leveraging more reliable early steps, outperforming baselines across benchmarks and revealing a step-level scaling law.