Asynchronous Workload Balancing through Persistent Work-Stealing and Offloading for a Distributed Actor Model Library

Yakup Budanaz, Mario Wille, M. Bader
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引用次数: 0

Abstract

With dynamic imbalances caused by both software and ever more complex hardware, applications and runtime systems must adapt to dynamic load imbalances. We present a diffusion-based, reactive, fully asynchronous, and decentralized dynamic load balancer for a distributed actor library. With the asynchronous execution model, features such as remote procedure calls, and support for serialization of arbitrary types, UPC++ is especially feasible for the implementation of the actor model. While providing a substantial speedup for small- to medium-sized jobs with both predictable and unpredictable workload imbalances, the scalability of the diffusion-based approaches remains below expectations in most presented test cases.
分布式参与者模型库通过持续工作窃取和卸载实现异步工作负载平衡
由于软件和越来越复杂的硬件都造成了动态不平衡,应用程序和运行时系统必须适应动态负载不平衡。我们为分布式参与者库提供了一个基于扩散的、响应式的、完全异步的和分散的动态负载平衡器。有了异步执行模型、远程过程调用等特性,以及对任意类型序列化的支持,upc++对于参与者模型的实现尤其可行。虽然为具有可预测和不可预测工作负载不平衡的中小型作业提供了实质性的加速,但在大多数测试用例中,基于扩散的方法的可伸缩性仍然低于预期。
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