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07/10/2023
PapagAI:Automated Feedback for Reflective Essays
Written reflective practice is a regular exercise pre-service teachers p...
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04/14/2023
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Collaborative filtering (CF) has been proven to be one of the most effec...
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01/20/2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Low-rank compression is an important model compression strategy for obta...
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11/07/2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
Tucker decomposition is one of the SOTA CNN model compression techniques...
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11/01/2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates
CNN-based surrogates have become prevalent in scientific applications to...
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06/28/2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
Graph Neural Networks (GNNs) have drawn tremendous attention due to thei...
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11/18/2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
Training wide and deep neural networks (DNNs) require large amounts of s...
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06/24/2021
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression
As supercomputers continue to grow to exascale, the amount of data that ...
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06/16/2021
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI
Recent research demonstrated the promise of using resistive random acces...
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02/19/2020