Brief announcement: a reinforcement learning approach for dynamic load-balancing of parallel digital logic simulation

摘要: In this paper, we present a dynamic load-balancing algorithm for parallel digital logic simulation making use of reinforcement learning. We first introduce two algorithms oriented towards balancing the computational and communication load respectively then utilize learning to create an which is combination algorithms. addition, determines value important parameters-the number processors participate in exchanged during its execution. investigate on gate level simulations several open source VLSI circuits.