recommendation systems

Huawei and USTC Release Generative Recommendation Large Model, Successfully Deployed on Ascend NPU

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Huawei and USTC Release Generative Recommendation Large Model, Successfully Deployed on Ascend NPU

National Key Laboratory of Cognitive Intelligence & Huawei Noah’s Ark SubmissionQuantum Bit | WeChat Official Account QbitAI The generative recommendation large model has been successfully deployed on domestically produced Ascend NPU for the first time! In the era of information explosion, recommendation systems have become an indispensable part of life. Meta was the first to … Read more

DAC’24: Implementation of Redundancy-Free Recommendation Model Training Based on Reusable-Aware Near-Memory Processing

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DAC'24: Implementation of Redundancy-Free Recommendation Model Training Based on Reusable-Aware Near-Memory Processing

In recent years, recommendation systems have played an increasingly important role across various industries. Among them, the embedding layer of recommendation systems has become a performance bottleneck due to the large volume of data and irregular memory access patterns. Existing works utilize the data locality of the embedding layer to cache frequently accessed embedding vectors … Read more