Jingweijia Tan

Orcid: 0000-0001-8256-7585

According to our database1, Jingweijia Tan authored at least 39 papers between 2011 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
ReIPE: Recycling Idle PEs in CNN Accelerator for Vulnerable Filters Soft-Error Detection.
ACM Trans. Archit. Code Optim., September, 2024

Efficient one-shot Neural Architecture Search with progressive choice freezing evolutionary search.
Neurocomputing, 2024

HSAS: Efficient task scheduling for large scale heterogeneous systolic array accelerator cluster.
Future Gener. Comput. Syst., 2024

2023
MCM-GPU Voltage Noise Characterization and Architecture-Level Mitigation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Saca-AVF: A Quantitative Approach to Analyze the Architectural Vulnerability Factors of CNN Accelerators.
IEEE Trans. Computers, November, 2023

Improving the Performance of CNN Accelerator Architecture under the Impact of Process Variations.
ACM Trans. Design Autom. Electr. Syst., September, 2023

Architectural Design Model Guided On-Demand Power Management of Energy-Efficient GPGPU for SLAM.
J. Circuits Syst. Comput., September, 2023

Saca-FI: A microarchitecture-level fault injection framework for reliability analysis of systolic array based CNN accelerator.
Future Gener. Comput. Syst., 2023

2022
Towards Fine-Grained Online Adaptive Approximation Control for Dense SLAM on Embedded GPUs.
ACM Trans. Design Autom. Electr. Syst., 2022

Eff-ECC: Protecting GPGPUs Register File With a Unified Energy-Efficient ECC Mechanism.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

MG-Voltage: Characterizing and Mitigating Voltage Noise in MCM-GPU Architectures.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.
Proceedings of the International Conference for High Performance Computing, 2021

AERO: Towards Energy-Efficient Autonomous Flight in MAVs Using Approximate Execution.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
Energy-Efficient GPU L2 Cache Design Using Instruction-Level Data Locality Similarity.
ACM Trans. Design Autom. Electr. Syst., 2020

Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users.
ACM Trans. Embed. Comput. Syst., 2020

G-SEAP: Analyzing and characterizing soft-error aware approximation in GPGPUs.
Future Gener. Comput. Syst., 2020

SERN: Modeling and Analyzing the Soft Error Reliability of Convolutional Neural Networks.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

LAD-ECC: Energy-Efficient ECC Mechanism for GPGPUs Register File.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Efficiently Managing the Impact of Hardware Variability on GPUs' Streaming Processors.
ACM Trans. Design Autom. Electr. Syst., 2019

Bridging mobile device configuration to the user experience under budget constraint.
Pervasive Mob. Comput., 2019

Improving energy efficiency of mobile devices by characterizing and exploring user behaviors.
J. Syst. Archit., 2019

Process Variation Mitigation on Convolutional Neural Network Accelerator Architecture.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

LoSCache: Leveraging Locality Similarity to Build Energy-Efficient GPU L2 Cache.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Evaluating the Soft Error Resilience of Instructions for GPU Applications.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2018
Data Quality Aware Task Allocation With Budget Constraint in Mobile Crowdsensing.
IEEE Access, 2018

Multi-Core Processor Scheduling Algorithm under The Influence Of Process Variation.
Proceedings of the 2018 2nd International Conference on Algorithms, Computing and Systems, 2018

HVSM: Hardware-variability aware streaming processors' management policy in GPUs.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
Emerging technology enabled energy-efficient GPGPUs register file.
Microprocess. Microsystems, 2017

2016
Mitigating the Impact of Hardware Variability for GPGPUs Register File.
IEEE Trans. Parallel Distributed Syst., 2016

Exploring Soft-Error Robust and Energy-Efficient Register File in GPGPUs using Resistive Memory.
ACM Trans. Design Autom. Electr. Syst., 2016

Redefining QoS and customizing the power management policy to satisfy individual mobile users.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Combating the Reliability Challenge of GPU Register File at Low Supply Voltage.
Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015
Mitigating the Susceptibility of GPGPUs Register File to Process Variations.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Soft-error reliability and power co-optimization for GPGPUS register file using resistive memory.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2013
Modeling and characterizing GPGPU reliability in the presence of soft errors.
Parallel Comput., 2013

Hybrid CMOS-TFET based register files for energy-efficient GPGPUs.
Proceedings of the International Symposium on Quality Electronic Design, 2013

Cost-effective soft-error protection for SRAM-based structures in GPGPUs.
Proceedings of the Computing Frontiers Conference, 2013

2012
RISE: improving the streaming processors reliability against soft errors in gpgpus.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2012

2011
Analyzing soft-error vulnerability on GPGPU microarchitecture.
Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011


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