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05/23/2023
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces
Benchmarking and co-design are essential for driving optimizations and i...
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05/03/2023
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
Sharding a large machine learning model across multiple devices to balan...
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12/16/2022
Mystique: Accurate and Scalable Production AI Benchmarks Generation
Building and maintaining large AI fleets to efficiently support the fast...
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08/12/2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems
Embedding learning is an important technique in deep recommendation mode...
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01/19/2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs
We devise a performance model for GPU training of Deep Learning Recommen...
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05/04/2021