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Advances in networks, accelerators, and cloud services encourage programmersto reconsider where to compute -- such as when fast networks make itcost-effective to compute on remote accelerators despite added latency.Workflow and cloud-hosted serverless computing frameworks can manage multi-stepcomputations spanning federated collections of cloud, high-performancecomputing (HPC), and edge systems, but passing data among computational stepsvia cloud storage can incur high costs. Here, we overcome this obstacle with anew programming paradigm that decouples control flow from data flow byextending the pass-by-reference model to distributed applications. We describeProxyStore, a system that implements this paradigm by providing object proxiesthat act as wide-area object references with just-in-time resolution. Thisproxy model enables data producers to communicate data unilaterally,transparently, and efficiently to both local and remote consumers. Wedemonstrate the benefits of this model with synthetic benchmarks and real-worldscientific applications, running across various computing platforms.

Accelerating Communications in Federated Applications with Transparent Object Proxies