Yu Liu

Orcid: 0000-0001-9686-1726

Affiliations:
  • Clarkson University, Department of Electrical and Computer Engineering, Potsdam, NY, USA
  • Virginia Commonwealth University, Department of Electrical and Computer Engineering, Richmond, VA, USA
  • Southern Illinois University, Department of Electrical and Computer Engineering, Carbondale, IL, USA (PhD 2011)


According to our database1, Yu Liu authored at least 32 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Physics-Aware POD-Based Learning for Ab initio QEM-Galerkin Simulations of Periodic Nanostructures.
CoRR, January, 2025

Regulating CPU temperature with thermal-aware scheduling using a reduced order learning thermal model.
Future Gener. Comput. Syst., 2025

2024
Ensemble learning model for effective thermal simulation of multi-core CPUs.
Integr., 2024

PyPOD-GP: Using PyTorch for Accelerated Chip-Level Thermal Simulation of the GPU.
CoRR, 2024

Improving TAS Adaptability with a Variable Temperature Threshold.
CoRR, 2024

Predicting Accurate Hot Spots in a More Than Ten-Thousand-Core GPU with a Million-Time Speedup over FEM Enabled by a Physics-based Learning Algorithm.
CoRR, 2024

Dynamic Thermal-Aware Scheduling Using Physics-Informed POD-Galerkin Thermal Simulation Model for Multi-Core Processors : Invited Paper.
Proceedings of the 15th IEEE International Green and Sustainable Computing Conference, 2024

Providing Technical Support to Sustain Student Motivation and Engagement in Software Engineering Project-Based Learning.
Proceedings of the IEEE Frontiers in Education Conference, 2024

An Exploratory Comparative Study on the Impacts of Technical Support on Student Successes in Computing Project-Based Learning.
Proceedings of the IEEE Frontiers in Education Conference, 2024

2023
PODTherm-GP: A Physics-Based Data-Driven Approach for Effective Architecture-Level Thermal Simulation of Multi-Core CPUs.
IEEE Trans. Computers, October, 2023

TDF: A compact file format plugin for FEniCS.
SoftwareX, May, 2023

Fast-Accurate Full-Chip Dynamic Thermal Simulation With Fine Resolution Enabled by a Learning Method.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Regulating CPU Temperature With Thermal-Aware Scheduling Using a Reduced Order Learning Thermal Model.
CoRR, 2023

Mapping Learning Objectives of Project-Based Undergraduate Software Engineering Courses to CC2020 Competency Model.
Proceedings of the IEEE Frontiers in Education Conference, 2023

The Importance of Project-Scale Scaffolding for Retention and Experience in Computing Courses.
Proceedings of the IEEE Frontiers in Education Conference, 2023

The 2023 DREE Workshop on Designing and Running Project-Based Courses in Software Engineering Education.
Proceedings of the IEEE Frontiers in Education Conference, 2023

2022
An effective physics simulation methodology based on a data-driven learning algorithm.
Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

Exploring an Efficient Approach for Architecture-Level Thermal Simulation of Multi-core CPUs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Political Polarization and Platform Migration: : A Study of Parler and Twitter Usage by United States of America Congress Members.
Proceedings of the Companion of The Web Conference 2021, 2021

Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms.
Proceedings of the Companion of The Web Conference 2021, 2021

2020
COMBS: First Open-Source Based Benchmark Suite for Multi-physics Simulation Relevant HPC Research.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2015
Scratchpad Memory Architectures and Allocation Algorithms for Hard Real-Time Multicore Processors.
J. Comput. Sci. Eng., 2015

2014
Two-Level Scratchpad Memory Architectures to Achieve Time Predictability and High Performance.
J. Comput. Sci. Eng., 2014

2013
Static worst-case lifetime estimation of wireless sensor networks: A case study on VigilNet.
J. Syst. Archit., 2013

2012
Exploiting multi-level scratchpad memories for time-predictable multicore computing.
Proceedings of the 30th International IEEE Conference on Computer Design, 2012

Exploiting SPM-aware Scheduling on EPIC architectures for high-performance real-time systems.
Proceedings of the IEEE Conference on High Performance Extreme Computing, 2012

2011
Stack distance based worst-case instruction cache performance analysis.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Exploiting time predictable two-level scratchpad memory for real-time systems.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Static Worst-Case Lifetime Estimation of Vigil Net.
Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications (GreenCom), 2011

2010
Static Worst-Case Energy and Lifetime Estimation of Wireless Sensor Networks.
J. Comput. Sci. Eng., 2010

2009
Bounding Worst-Case Data Cache Performance by Using Stack Distance.
J. Comput. Sci. Eng., 2009

Exploiting stack distance to estimate worst-case data cache performance.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009


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