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02/24/2023
Machine Learning-based Low Overhead Congestion Control Algorithm for Industrial NoCs
Network-on-Chip (NoC) congestion builds up during heavy traffic load and...
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05/15/2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
Graph convolutional networks (GCNs) have shown remarkable learning capab...
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08/21/2021
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration
Fast and accurate performance analysis techniques are essential in early...
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08/14/2021
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
In-memory computing (IMC) on a monolithic chip for deep learning faces d...
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08/01/2021
FLASH: Fast Neural Architecture Search with Hardware Optimization
Neural architecture search (NAS) is a promising technique to design effi...
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07/06/2021
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
With the widespread use of Deep Neural Networks (DNNs), machine learning...
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08/22/2020
Online Adaptive Learning for Runtime Resource Management of Heterogeneous SoCs
Dynamic resource management has become one of the major areas of researc...
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08/10/2020
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion
Priority-aware networks-on-chip (NoCs) are used in industry to achieve p...
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07/28/2020
Analytical Performance Modeling of NoCs under Priority Arbitration and Bursty Traffic
Networks-on-Chip (NoCs) used in commercial many-core processors typicall...
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07/18/2020
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems
Domain-specific systems-on-chip, a class of heterogeneous many-core syst...
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03/20/2020
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms
Mobile platforms must satisfy the contradictory requirements of fast res...
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08/07/2019