Amazon Researchers Present a Deep Learning Compiler for Training Consisting of Three Main Features- a Syncfree Optimizer, Compiler Caching, and Multi-Threaded Execution

One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. A turning point was reached with the introduction of the transformer model architecture, which created new opportunities for gradient descent parallelization and distribution strategies, enabling the training of bigger, more intricate models on a wider scale. However, […]

The post Amazon Researchers Present a Deep Learning Compiler for Training Consisting of Three Main Features- a Syncfree Optimizer, Compiler Caching, and Multi-Threaded Execution …

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