Hongyang Sun

Orcid: 0000-0002-4379-4467

Affiliations:
  • University of Kansas, USA
  • Vanderbilt University, TN, USA (former)
  • IRIT, Toulouse, France (former)
  • INRIA, Rhône-Alpes, France (former)
  • ENS, Lyon, France (former)
  • Nanyang Technological University (NTU), Singapore (former)


According to our database1, Hongyang Sun authored at least 77 papers between 2007 and 2024.

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Bibliography

2024
Improved Online Scheduling of Moldable Task Graphs under Common Speedup Models.
ACM Trans. Parallel Comput., March, 2024

Multi-resource scheduling of moldable workflows.
J. Parallel Distributed Comput., February, 2024

Neural Acceleration of Incomplete Cholesky Preconditioners.
CoRR, 2024

2023
Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks.
Knowl. Based Syst., March, 2023

Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Dynamic Resource Management for Cloud-native Bulk Synchronous Parallel Applications.
Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023

2022
Checkpointing Workflows à la Young/Daly Is Not Good Enough.
ACM Trans. Parallel Comput., December, 2022

Resilient Scheduling of Moldable Parallel Jobs to Cope With Silent Errors.
IEEE Trans. Computers, 2022

Online Scheduling of Moldable Task Graphs under Common Speedup Models.
Proceedings of the 51st International Conference on Parallel Processing, 2022

Checkpointing à la Young/Daly: An Overview.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service.
J. Syst. Archit., 2021

Resilient Scheduling Heuristics for Rigid Parallel Jobs.
Int. J. Netw. Comput., 2021

Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020
URMILA: Dynamically trading-off fog and edge resources for performance and mobility-aware IoT services.
J. Syst. Archit., 2020

MILP formulations for spatio-temporal thermal-aware scheduling in Cloud and HPC datacenters.
Clust. Comput., 2020

Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead.
Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service.
Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

Reservation and Checkpointing Strategies for Stochastic Jobs.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge.
Proceedings of the 4th IEEE International Conference on Fog and Edge Computing, 2020

Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
Non-clairvoyant scheduling with conflicts for unit-size jobs.
Inf. Process. Lett., 2019

On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows.
Int. J. High Perform. Comput. Appl., 2019

URMILA: A Performance and Mobility-Aware Fog/Edge Resource Management Middleware.
Proceedings of the IEEE 22nd International Symposium on Real-Time Distributed Computing, 2019

Reservation Strategies for Stochastic Jobs.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Supporting fog/edge-based cognitive assistance IoT services for the visually impaired: poster abstract.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

Speculative Scheduling for Stochastic HPC Applications.
Proceedings of the 48th International Conference on Parallel Processing, 2019

BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019

Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018
Introduction to the special issue on Resilience and Energy-aware Techniques for High-Performance Computing (RE-HPC).
Sustain. Comput. Informatics Syst., 2018

Coping with silent and fail-stop errors at scale by combining replication and checkpointing.
J. Parallel Distributed Comput., 2018

Multi-level checkpointing and silent error detection for linear workflows.
J. Comput. Sci., 2018

A Scalability and Sensitivity Study of Parallel Geometric Algorithms for Graph Partitioning.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Poster Abstract: Ensuring Low-Latency and Scalable Data Dissemination for Smart-City Applications.
Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, 2018

Scalable Edge Computing for Low Latency Data Dissemination in Topic-Based Publish/Subscribe.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Towards Optimal Multi-Level Checkpointing.
IEEE Trans. Computers, 2017

Spatio-temporal thermal-aware scheduling for homogeneous high-performance computing datacenters.
Future Gener. Comput. Syst., 2017

When Good Enough Is Better: Energy-Aware Scheduling for Multicore Servers.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale.
Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2017

2016
Assessing General-Purpose Algorithms to Cope with Fail-Stop and Silent Errors.
ACM Trans. Parallel Comput., 2016

Coping with recall and precision of soft error detectors.
J. Parallel Distributed Comput., 2016

Two-Level Checkpointing and Verifications for Linear Task Graphs.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Optimal Resilience Patterns to Cope with Fail-Stop and Silent Errors.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

A Different Re-execution Speed Can Help.
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

When Amdahl Meets Young/Daly.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
Energy-efficient, thermal-aware modeling and simulation of data centers: The CoolEmAll approach and evaluation results.
Ad Hoc Networks, 2015

Scheduling Independent Tasks with Voltage Overscaling.
Proceedings of the 21st IEEE Pacific Rim International Symposium on Dependable Computing, 2015

Assessing the Impact of Partial Verifications against Silent Data Corruptions.
Proceedings of the 44th International Conference on Parallel Processing, 2015

Voltage Overscaling Algorithms for Energy-Efficient Workflow Computations With Timing Errors.
Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale, 2015

Which Verification for Soft Error Detection?
Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

2014
Energy-efficient multiprocessor scheduling for flow time and makespan.
Theor. Comput. Sci., 2014

Energy-efficient and thermal-aware resource management for heterogeneous datacenters.
Sustain. Comput. Informatics Syst., 2014

Competitive online adaptive scheduling for sets of parallel jobs with fairness and efficiency.
J. Parallel Distributed Comput., 2014

Scalable hierarchical scheduling for malleable parallel jobs on multiprocessor-based systems.
Comput. Syst. Sci. Eng., 2014

Multi-objective Scheduling for Heterogeneous Server Systems with Machine Placement.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
Improved semi-online makespan scheduling with a reordering buffer.
Inf. Process. Lett., 2013

Energy-Efficient Scheduling for Best-Effort Interactive Services to Achieve High Response Quality.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

2012
Stable Adaptive Work-Stealing for Concurrent Many-Core Runtime Systems.
IEICE Trans. Inf. Syst., 2012

2011
Provably-efficient adaptive scheduling of multiprocessors for performance and energy
PhD thesis, 2011

Efficient Adaptive Scheduling of Multiprocessors with Stable Parallelism Feedback.
IEEE Trans. Parallel Distributed Syst., 2011

Speed Scaling for Energy and Performance with Instantaneous Parallelism.
Proceedings of the Theory and Practice of Algorithms in (Computer) Systems, 2011

Scheduling Functionally Heterogeneous Systems with Utilization Balancing.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Fair and Efficient Online Adaptive Scheduling for Multiple Sets of Parallel Applications.
Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

Tians Scheduling: Using Partial Processing in Best-Effort Applications.
Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

Stable Adaptive Work-Stealing for Concurrent Multi-core Runtime Systems.
Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

2010
Improved results for scheduling batched parallel jobs by using a generalized analysis framework.
J. Parallel Distributed Comput., 2010

Energy-Efficient Multiprocessor Scheduling for Flow Time and Makespan
CoRR, 2010

Malleable-Lab: A Tool for Evaluating Adaptive Online Schedulers on Malleable Jobs.
Proceedings of the 18th Euromicro Conference on Parallel, 2010

Scalable Hierarchical Scheduling for Multiprocessor Systems Using Adaptive Feedback-Driven Policies.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2010

2009
Competitive Two-Level Adaptive Scheduling Using Resource Augmentation.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2009

Non-clairvoyant speed scaling for batched parallel jobs on multiprocessors.
Proceedings of the 6th Conference on Computing Frontiers, 2009

2008
Adaptive B-Greedy (ABG): A simple yet efficient scheduling algorithm.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007
Adaptive Scheduling of Parallel Jobs on Functionally Heterogeneous Resources.
Proceedings of the 2007 International Conference on Parallel Processing (ICPP 2007), 2007


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