research
∙
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...
share
research
∙
08/16/2022
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Many real-world problems involve multiple, possibly conflicting, objecti...
research
∙
05/15/2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
Graph convolutional networks (GCNs) have shown remarkable learning capab...
research
∙
02/18/2022
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices
Advances in low-power electronics and machine learning techniques lead t...
research
∙
12/16/2021
Performant, Multi-objective Scheduling of Highly Interleaved Task Graphs on Heterogeneous System on Chip Devices
Performance-, power-, and energy-aware scheduling techniques play an ess...
research
∙
09/22/2021
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs
Domain-specific systems-on-chip (DSSoCs) aim at bridging the gap between...
research
∙
08/21/2021
Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration
Fast and accurate performance analysis techniques are essential in early...
research
∙
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...
research
∙
08/01/2021
FLASH: Fast Neural Architecture Search with Hardware Optimization
Neural architecture search (NAS) is a promising technique to design effi...
research
∙
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...
research
∙
03/08/2021
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
Hyperdimensional computing (HDC) has emerged as a new light-weight learn...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
04/01/2020
User-Space Emulation Framework for Domain-Specific SoC Design
In this work, we propose a portable, Linux-based emulation framework to ...
research
∙
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...
research
∙
03/19/2020
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework
Heterogeneous systems-on-chip (SoCs) are highly favorable computing plat...
research
∙
08/10/2019
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips
Heterogeneous system-on-chips (SoCs) have become the standard embedded c...
research
∙
08/07/2019
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes
Networks-on-chip (NoCs) have become the standard for interconnect soluti...
research
∙
03/19/2019
Power and Thermal Analysis of Commercial Mobile Platforms: Experiments and Case Studies
State-of-the-art mobile processors can deliver fast response time and hi...
research
∙
02/19/2019
OpenHealth: Open Source Platform for Wearable Health Monitoring
Movement disorders are becoming one of the leading causes of functional ...
research
∙
08/26/2018