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SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning
In our initial implementation of SpikeRL framework, we depended on the population encoding from the Population-coded Spiking Actor Network (PopSAN) method for our SNN model and implemented distributed training with Message Passing Interface (MPI) through mpi4py.
Task-Graph Scheduling Extensions for Efficient Synchronization and Communication
Task graphs have been studied for decades as a foundation for scheduling irregular parallel applications and incorporated in programming models such as OpenMP.
Distributed, Parallel, and Cluster Computing
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