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How optimization for machine learning works, part 1
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Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines
Towards a Heterogeneous data-centric framework for efficient Linear algebra
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[rfp0092] A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems
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DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications
Stateful Dataflow Multigraphs: Data-Centric Performance Portability on Heterogeneous Architectures
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Methodologies, Workloads, and Tools for PIM: Enabling the Adoption of Data-Centric Architectures
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Last Updated: August 17, 2026
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