11 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.AR2023★ 1 cited
SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory
Jinfan Chen, Juan Gómez-Luna, Izzat El Hajj +2
Data movement between memory and processors is a major bottleneck in modern computing systems. The processing-in-memory (PIM) paradigm aims to alleviate this bottleneck by performi…
cs.DC2023★ 11 cited
AutoDDL: Automatic Distributed Deep Learning with Near-Optimal Bandwidth Cost
Jinfan Chen, Shigang Li, Ran Gun +2
Recent advances in deep learning are driven by the growing scale of computation, data, and models. However, efficiently training large-scale models on distributed systems requires…
cs.LG2021
Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss, Dominique Heyn, Jinfan Chen +1
When data are scarce meta-learning can improve a learner's accuracy by harnessing previous experience from related learning tasks. However, existing methods have unreliable uncerta…