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Found 3 papers, 1 papers with code
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.
Materials Fingerprinting Classification
Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic identities and three-dimensional coordinates.
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
