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10/06/2022
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Transformer is the cornerstone model of Natural Language Processing (NLP...
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10/25/2021
Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance
Today's auto-tuners (e.g., AutoTVM, Ansor) generate efficient tensor pro...
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06/29/2021
An End-to-End Autofocus Camera for Iris on the Move
For distant iris recognition, a long focal length lens is generally used...
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01/21/2021
UNIT: Unifying Tensorized Instruction Compilation
Because of the increasing demand for computation in DNN, researchers dev...
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11/20/2020
HAWQV3: Dyadic Neural Network Quantization
Quantization is one of the key techniques used to make Neural Networks (...
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09/01/2020
Recognition Oriented Iris Image Quality Assessment in the Feature Space
A large portion of iris images captured in real world scenarios are poor...
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03/18/2020
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
Face anti-spoofing is the key to preventing security breaches in biometr...
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03/01/2020
Fast Gunrock Subgraph Matching (GSM) on GPUs
In this paper, we propose a novel method, GSM (Gunrock Subgraph Matching...
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09/04/2019
Fast BFS-Based Triangle Counting on GPUs
In this paper, we propose a novel method to compute triangle counting on...
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07/03/2019
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
Modern deep learning applications urge to push the model inference takin...
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04/18/2018
A Comparative Study on Exact Triangle Counting Algorithms on the GPU
We implement exact triangle counting in graphs on the GPU using three di...
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02/12/2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
There is an increasing need to bring machine learning to a wide diversit...
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02/12/2018
