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07/31/2023
DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms
Datacenters are increasingly becoming heterogeneous, and are starting to...
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06/04/2023
Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search
Many hardware-aware neural architecture search (NAS) methods have been d...
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05/25/2023
Are We There Yet? Product Quantization and its Hardware Acceleration
Conventional multiply-accumulate (MAC) operations have long dominated co...
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04/08/2023
BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs
Deep neural network (DNN) inference using reduced integer precision has ...
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10/13/2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Neural architecture search (NAS) has been successfully used to design nu...
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09/20/2022
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
Attention-based neural networks have become pervasive in many AI tasks. ...
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12/04/2021
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
FPGA-specific DNN architectures using the native LUTs as independently t...
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08/18/2021
Temporal Kernel Consistency for Blind Video Super-Resolution
Deep learning-based blind super-resolution (SR) methods have recently ac...
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06/12/2021
Zero-Cost Proxies Meet Differentiable Architecture Search
Differentiable neural architecture search (NAS) has attracted significan...
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01/20/2021
Zero-Cost Proxies for Lightweight NAS
Neural Architecture Search (NAS) is quickly becoming the standard method...
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08/06/2020
Iterative Compression of End-to-End ASR Model using AutoML
Increasing demand for on-device Automatic Speech Recognition (ASR) syste...
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07/16/2020
BRP-NAS: Prediction-based NAS using GCNs
Neural architecture search (NAS) enables researchers to automatically ex...
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02/11/2020
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
Neural architecture search (NAS) has been very successful at outperformi...
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07/08/2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
End-to-end automatic speech recognition (ASR) models are increasingly la...
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07/13/2018