Optimizing use of computer resources in implementing circuit designs through machine learning

Methods and systems for selecting between single-process and multi-process implementation flows involve identifying features of a circuit design by a design tool. A classification model is applied to the features. The classification model indicates whether an implementation flow on the circuit design is likely to have a runtime within a first range of runtimes or a runtime within a second range of runtimes. The implementation flow is executed by the design tool in a single process in response to the classification model indicating the implementation flow on the circuit design is likely to have a runtime within the first range of runtimes. The implementation flow is executed by the design tool in a plurality of processes in response to the classification model indicating the implementation flow on the circuit design is likely to have a runtime within the second range of runtimes.