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Distributed computation is always a tricky topic to deal with, especially incontext of various requirements in various scenarios. A popular solution is touse Apache Spark with a setup of multiple systems forming a cluster. However,the prerequisite setup for a Spark cluster often induces an additionaloverhead, often limiting usage in constrained scenarios, especially inscenarios requiring context propagation. In this paper, we explore a relativelylightweight computational graph execution framework requiring little setup andfast speeds, coupled with context awareness.

SerPyTor: A distributed context-aware computational graph execution framework for durable execution