Learning Super Neural Networks: CPU Outperforms V100 GPU with Hashing

Learning Super Neural Networks: CPU Outperforms V100 GPU with Hashing

Machine Heart Reports Machine Heart Editorial Team Training a fully connected network with 100 million parameters, a 44-core CPU makes the V100 bow down, and it turns out to be due to—hashing? Accelerating training and inference of deep learning models has recently been a focus in the research field.Although the common view is that GPUs … Read more

Speeding Up PyTorch by Four Times: Enhancing DALI Utilization and Creating CPU-Based Pipelines

Speeding Up PyTorch by Four Times: Enhancing DALI Utilization and Creating CPU-Based Pipelines

Big Data Digest Production Source:Medium Compiled by:Zhao Jike In recent years, there have been significant advancements in deep learning hardware, with Nvidia’s latest products, the Tesla V100 and Geforce RTX series, featuring dedicated tensor cores designed to accelerate common operations in neural networks. Notably, the V100 has sufficient capability to train neural networks at thousands … Read more