Comet: Fine-grained Computation-communication Overlapping For Mixture-of-experts Fine Lines Shapes
Comet features two key designs to achieve seamless overlapping without impact the computational efficiency The development of large moe. 为攻克这一瓶颈,豆包大模型团队提出了一个全新的 通信优化系统 COMET,通过更精准、细粒度的计算-通信重叠技术,在大规模 MoE 模型上可达到单层 1.96 倍加速,端到端平均 1.71 倍.
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To ensure precise resource allocation and effective latency. Improves computational efficiency through better overlapping of. In this section, we present the core design of comet, a mixture of experts (moe) system optimized for efficient execution of moe layers through pipelined execution and fine.
Leveraging data dependency analysis and task rescheduling, comet.
Comet is a kdd 2023 paper that proposes a novel method for learning cardinality constrained mixture of experts with trees and local search The code repository contains code to run different. Through adaptive workload assignment, comet. It uses data dependency analysis.
My recent publications investigate new algorithms, abstractions, and frameworks for efficient code generation on cpu and gpu My research has been recognized with micro, asplos, isca,. 为此,作者提出了Comet,一种具有细粒度 通信-计算重叠 的优化MoE系统。 通过数据依赖性分析和任务重新调度,Comet实现了通信与计算的精确细粒度重叠。 通过 自适应工作负载分配,Comet有效. Improves computational efficiency through better overlapping of calculations and.

In a distributed environment, executing an moe layer involves data reception, expert computation, and data transmission, as depicted in in figure 1 (b)
为攻克这一瓶颈,豆包大模型团队提出了一个全新的 通信优化系统 COMET ,通过更精准、细粒度的计算-通信重叠技术,在大规模 MoE 模型上可达到单层 1.96 倍加速,端到端平均 1.71 ... Comet: Fine-grained Computation. Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts. 最近深耕 Hopper 优化,感觉稍稍不关注硬件新特性就落后了,推荐大家 DeepGemm, cutlass 的 Gemm 都逐. Shulai zhang · ningxin zheng · haibin lin · ziheng jiang ·.






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