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Found 3 papers, 1 papers with code
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
Huge embedding tables in modern Deep Learning Recommender Models (DLRM) require prohibitively large memory during training and inference.
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR
To accelerate DNN computation, tensor compilers are proposed to generate efficient code on different domain-specific accelerators.
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization
We present Mirror, an open-source platform for data exploration and analysis powered by large language models.
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