Abstract: In this article, we extend the CUDAMPILIB framework, which facilitates the programming of parallel applications for multi-node systems with one or more graphical processing units (GPUs) per ...
Abstract: Multi-task Reinforcement learning is a key current trend in the field of reinforcement learning. It can accomplish multiple tasks using a single network, which is superior to single-task ...
Use poolSTL to parallelize loops, transforms, sorts, and other standard library algorithms using this thread pool. This approach is easy to start with and also keeps your code future-proof by ...
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