
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
Recent advances in Deep Neural Networks (DNNs) have led to active develo...
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HAO: Hardwareaware neural Architecture Optimization for Efficient Inference
Automatic algorithmhardware codesign for DNN has shown great success i...
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HAWQV3: Dyadic Neural Network Quantization
Quantization is one of the key techniques used to make Neural Networks (...
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CoDeNet: Algorithmhardware Codesign for Deformable Convolution
Deploying deep learning models on embedded systems for computer vision t...
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ProTuner: Tuning Programs with Monte Carlo Tree Search
We explore applying the Monte Carlo Tree Search (MCTS) algorithm in a no...
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AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
The performance of the code a compiler generates depends on the order in...
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Algorithmhardware Codesign for Deformable Convolution
FPGAs provide a flexible and efficient platform to accelerate rapidlych...
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Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISCV SoC on FireSim
NVDLA is an opensource deep neural network (DNN) accelerator which has ...
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AutoPhase: Compiler PhaseOrdering for High Level Synthesis with Deep Reinforcement Learning
The performance of the code generated by a compiler depends on the order...
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Synetgy: Algorithmhardware Codesign for ConvNet Accelerators on Embedded FPGAs
Using FPGAs to accelerate ConvNets has attracted significant attention i...
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Qijing Huang
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