Guanpeng Li

Orcid: 0000-0001-7773-7826

According to our database1, Guanpeng Li authored at least 44 papers between 2014 and 2023.

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Bibliography

2023
Fault Injection for TensorFlow Applications.
IEEE Trans. Dependable Secur. Comput., 2023

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR, 2023

cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance.
Proceedings of the International Conference for High Performance Computing, 2023

Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication.
Proceedings of the International Conference for High Performance Computing, 2023

Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
Improving the Accuracy of IR-Level Fault Injection.
IEEE Trans. Dependable Secur. Comput., 2022

Replay-based Recovery for Autonomous Robotic Vehicles from Sensor Deception Attacks.
CoRR, 2022

Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Salus: A Novel Data-Driven Monitor that Enables Real-Time Safety in Autonomous Driving Systems.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults.
Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

Hardening selective protection across multiple program inputs for HPC applications.
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

D2MoN: Detecting and Mitigating Real-Time Safety Violations in Autonomous Driving Systems.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

Message from the RSDA 2022 Workshop Chairs.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow., 2021

PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications.
Proceedings of the International Conference for High Performance Computing, 2021

A novel memory-efficient deep learning training framework via error-bounded lossy compression.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

PID-Piper: Recovering Robotic Vehicles from Physical Attacks.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020
Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction.
CoRR, 2020

GPU-trident: efficient modeling of error propagation in GPU programs.
Proceedings of the International Conference for High Performance Computing, 2020

Demonstration of 214Gbps Per Lane IM/DD PAM-4 Transmission using O-Band 35GHz-Class EML with Advanced MLSE and KP4-FEC.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Error Resilient Machine Learning for Safety-Critical Systems: Position Paper.
Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design, 2020

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
<i>BinFI</i>: an efficient fault injector for safety-critical machine learning systems.
Proceedings of the International Conference for High Performance Computing, 2019

Evaluating Compiler IR-Level Selective Instruction Duplication with Realistic Hardware Errors.
Proceedings of the 9th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2019

A Tale of Two Injectors: End-to-End Comparison of IR-Level and Assembly-Level Fault Injection.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

2018
TensorFI: A Configurable Fault Injector for TensorFlow Applications.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

Modeling Soft-Error Propagation in Programs.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Modeling Input-Dependent Error Propagation in Programs.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

2017
Configurable Detection of SDC-causing Errors in Programs.
ACM Trans. Embed. Comput. Syst., 2017

Understanding error propagation in deep learning neural network (DNN) accelerators and applications.
Proceedings of the International Conference for High Performance Computing, 2017

Modeling Error Propagation in Programs.
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2017

2016
Automatic fault localization for client-side JavaScript.
Softw. Test. Verification Reliab., 2016

Understanding error propagation in GPGPU applications.
Proceedings of the International Conference for High Performance Computing, 2016

2015
Experience report: An application-specific checkpointing technique for minimizing checkpoint corruption.
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

2014
Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults.
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014


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