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08/26/2023
Transfer Learning for Microstructure Segmentation with CS-UNet: A Hybrid Algorithm with Transformer and CNN Encoders
Transfer learning improves the performance of deep learning models by in...
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11/07/2022
Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture
We introduce Stardust, a compiler that compiles sparse tensor algebra to...
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02/02/2022
Efficient Memory Partitioning in Software Defined Hardware
As programmers turn to software-defined hardware (SDH) to maintain a hig...
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04/26/2021
Capstan: A Vector RDA for Sparsity
This paper proposes Capstan: a scalable, parallel-patterns-based, reconf...
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09/26/2019
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator
Recurrent Neural Network (RNN) applications form a major class of AI-pow...
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06/04/2018