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08/22/2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Graph Convolutional Networks (GCNs) are pivotal in extracting latent inf...
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06/27/2023
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
Two-party computation (2PC) is promising to enable privacy-preserving de...
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04/23/2023
TransFlow: Transformer as Flow Learner
Optical flow is an indispensable building block for various important co...
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03/20/2023
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
Manual analysis of XRD data is usually laborious and time consuming. The...
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02/05/2023
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference
The proliferation of deep learning (DL) has led to the emergence of priv...
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10/08/2022
Towards Real-Time Temporal Graph Learning
In recent years, graph representation learning has gained significant po...
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09/20/2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
The rapid growth and deployment of deep learning (DL) has witnessed emer...
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09/14/2022
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms
The increasing size of input graphs for graph neural networks (GNNs) hig...
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09/11/2022
Towards Sparsification of Graph Neural Networks
As real-world graphs expand in size, larger GNN models with billions of ...
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08/07/2022
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining
Transformers are considered one of the most important deep learning mode...
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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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06/16/2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
With the increasing popularity of robotics in industrial control and aut...
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06/06/2022
Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numerical Behaviors
Tensor Cores have been an important unit to accelerate Fused Matrix Mult...
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06/05/2022
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm
Binary neural networks (BNNs) show promising utilization in cost and pow...
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03/07/2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
Graph Convolutional Networks (GCNs) have drawn tremendous attention in t...
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12/22/2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
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09/18/2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Graph Neural Networks (GNNs) have emerged as the state-of-the-art (SOTA)...
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09/13/2021
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search
Molecular similarity search has been widely used in drug discovery to id...
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08/10/2021
Binary Complex Neural Network Acceleration on FPGA
Being able to learn from complex data with phase information is imperati...
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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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06/23/2021
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
Over the years, accelerating neural networks with quantization has been ...
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03/28/2021
BCNN: Binary Complex Neural Network
Binarized neural networks, or BNNs, show great promise in edge-side appl...
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09/16/2020
Comparison Lift: Bandit-based Experimentation System for Online Advertising
Comparison Lift is an experimentation-as-a-service (EaaS) application fo...
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05/11/2020
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks
Recurrent neural networks (RNNs) have been widely adopted in temporal se...
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08/23/2019
UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing
The recent development of deep learning has mostly been focusing on Eucl...
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07/04/2019
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
Firms implementing digital advertising campaigns face a complex problem ...
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05/14/2019
Fully Integrated On-FPGA Molecular Dynamics Simulations
The implementation of Molecular Dynamics (MD) on FPGAs has received subs...
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01/04/2019
