Jieyang Chen

Orcid: 0000-0002-1905-9171

According to our database1, Jieyang Chen authored at least 58 papers between 2015 and 2024.

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Bibliography

2024
An HPC-Container Based Continuous Integration Tool for Detecting Scaling and Performance Issues in HPC Applications.
IEEE Trans. Serv. Comput., 2024

2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023

GreenMD: Energy-efficient Matrix Decomposition on Heterogeneous Multi-GPU Systems.
ACM Trans. Parallel Comput., June, 2023

Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Accelerating k-Core Decomposition by a GPU.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Fast Algorithms for Scientific Data Compression.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst., 2022

zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
IEEE Trans. Parallel Distributed Syst., 2022

Understanding the Impact of Data Staging for Coupled Scientific Workflows.
IEEE Trans. Parallel Distributed Syst., 2022

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers, 2022

Scalable Hybrid Learning Techniques for Scientific Data Compression.
CoRR, 2022

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems.
CoRR, 2022

Message from the DRBSD-8 Workshop Chairs.
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

2021
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
IEEE Trans. Parallel Distributed Syst., 2021

TSM2X: High-performance tall-and-skinny matrix-matrix multiplication on GPUs.
J. Parallel Distributed Comput., 2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2021

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.
Proceedings of the International Conference for High Performance Computing, 2021

BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect.
IEEE Trans. Parallel Distributed Syst., 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020

BeeSwarm: Enabling Scalability Tests in Continuous Integration.
CoRR, 2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2020

Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
CoRR, 2020

ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs.
CoRR, 2020

Visualization as a Service for Scientific Data.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Taming I/O variation on QoS-less HPC storage: what can applications do?
Proceedings of the International Conference for High Performance Computing, 2020

FTRANS: energy-efficient acceleration of transformers using FPGA.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Feature-preserving Lossy Compression for In Situ Data Analysis.
Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020

2019
Fault Tolerant and Energy Efficient One-Sided Matrix Decompositions on Heterogeneous Systems with GPUs.
PhD thesis, 2019

FT-iSort: efficient fault tolerance for introsort.
Proceedings of the International Conference for High Performance Computing, 2019

TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs.
Proceedings of the ACM International Conference on Supercomputing, 2019

Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs.
Proceedings of the International Conference for High Performance Computing, 2018

Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite.
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
CoRR, 2017

Correcting soft errors online in fast fourier transform.
Proceedings of the International Conference for High Performance Computing, 2017

Silent Data Corruption Resilient Two-sided Matrix Factorizations.
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing.
Proceedings of the International Conference for High Performance Computing, 2016

GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs.
Proceedings of the IEEE International Conference on Networking, 2016

Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra.
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

2015
Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Cholesky Factorization on Heterogeneous CPU and GPU Systems.
Proceedings of the Ninth International Conference on Frontier of Computer Science and Technology, 2015


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