2025
Lossy Compression of Scientific Data: Applications Constrains and Requirements.
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CoRR, March, 2025
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
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Proc. ACM Manag. Data, February, 2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning.
CoRR, February, 2025
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression.
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CoRR, February, 2025
Can Tensor Cores Benefit Memory-Bound Kernels? (No!).
CoRR, February, 2025
PSZ: Enhancing the SZ Scientific Lossy Compressor With Progressive Data Retrieval.
CoRR, February, 2025
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.
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Future Gener. Comput. Syst., 2025
TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs.
Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers.
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Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025
2024
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data, February, 2024
A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?
Future Gener. Comput. Syst., 2024
QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression.
CoRR, 2024
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.
CoRR, 2024
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership.
CoRR, 2024
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data.
CoRR, 2024
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU.
CoRR, 2024
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
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CoRR, 2024
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data.
CoRR, 2024
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework.
CoRR, 2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets.
CoRR, 2024
Versatile Datapath Soft Error Detection on the Cheap for HPC Applications.
Proceedings of the International Conference for High Performance Computing, 2024
cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio.
Proceedings of the International Conference for High Performance Computing, 2024
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression.
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Proceedings of the International Conference for High Performance Computing, 2024
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024
SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024
cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation.
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Proceedings of the International Conference for High Performance Computing, 2024
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.
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Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024
Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.
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Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.
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Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.
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Proceedings of the 38th ACM International Conference on Supercomputing, 2024
Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
A Portable, Fast, DCT-based Compressor for AI Accelerators.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance.
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Proceedings of the IEEE International Conference on Cluster Computing, 2024
QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Toward Feature-Preserving Vector Field Compression.
IEEE Trans. Vis. Comput. Graph., December, 2023
Black-box statistical prediction of lossy compression ratios for scientific data.
Int. J. High Perform. Comput. Appl., July, 2023
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
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IEEE Trans. Big Data, April, 2023
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression.
CoRR, 2023
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.
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CoRR, 2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR, 2023
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.
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CoRR, 2023
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives.
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CoRR, 2023
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
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Proceedings of the International Conference for High Performance Computing, 2023
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 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
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.
Proceedings of the 37th International Conference on Supercomputing, 2023
Lightweight Huffman Coding for Efficient GPU Compression.
Proceedings of the 37th International Conference on Supercomputing, 2023
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.
Proceedings of the 37th International Conference on Supercomputing, 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
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023
An Efficient and Accurate Compression Ratio Estimation Model for SZx.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration.
IEEE Trans. Parallel Distributed Syst., 2022
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst., 2022
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.
Proc. VLDB Endow., 2022
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography.
CoRR, 2022
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets.
CoRR, 2022
SIMD Lossy Compression for Scientific Data.
CoRR, 2022
Understanding the Effects of Modern Compressors on the Community Earth Science Model.
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets.
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 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
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs.
Proceedings of the SC22: International Conference for High Performance 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
Efficient Error-Bounded Lossy Compression for CPU Architectures.
Proceedings of the 30th International Symposium on Modeling, 2022
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Ultrafast Error-bounded Lossy Compression for Scientific Datasets.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022
Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
2021
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
IEEE Trans. Parallel Distributed Syst., 2021
Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control.
IEEE Trans. Computers, 2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
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Int. J. High Perform. Comput. Appl., 2021
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR, 2021
Productive and Performant Generic Lossy Data Compression with LibPressio.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Resilient error-bounded lossy compressor for data transfer.
Proceedings of the International Conference for High Performance Computing, 2021
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
Sentiment Analysis based Error Detection for Large-Scale Systems.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Exploring Autoencoder-based Error-bounded Compression for Scientific Data.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.
IEEE Trans. Parallel Distributed Syst., 2020
SDC Resilient Error-bounded Lossy Compressor.
CoRR, 2020
Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
CoRR, 2020
Fulfilling the Promises of Lossy Compression for Scientific Applications.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2020
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Toward Feature-Preserving 2D and 3D Vector Field Compression.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
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Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020
2019
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.
IEEE Trans. Parallel Distributed Syst., 2019
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound.
IEEE Trans. Parallel Distributed Syst., 2019
Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System.
IEEE Trans. Parallel Distributed Syst., 2019
Z-checker: A framework for assessing lossy compression of scientific data.
Int. J. High Perform. Comput. Appl., 2019
Use cases of lossy compression for floating-point data in scientific data sets.
Int. J. High Perform. Comput. Appl., 2019
Full-state quantum circuit simulation by using data compression.
Proceedings of the International Conference for High Performance Computing, 2019
Significantly improving lossy compression quality based on an optimized hybrid prediction model.
Proceedings of the International Conference for High Performance Computing, 2019
FT-iSort: efficient fault tolerance for introsort.
Proceedings of the International Conference for High Performance Computing, 2019
Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms.
Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
2018
Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network.
IEEE Trans. Parallel Distributed Syst., 2018
Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data.
IEEE Trans. Parallel Distributed Syst., 2018
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model.
IEEE Trans. Knowl. Data Eng., 2018
Exploring the capabilities of support vector machines in detecting silent data corruptions.
Sustain. Comput. Informatics Syst., 2018
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression.
CoRR, 2018
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation.
CoRR, 2018
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization.
Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018
Improving performance of iterative methods by lossy checkponting.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers.
Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
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Proceedings of the 14th IEEE International Conference on e-Science, 2018
Fixed-PSNR Lossy Compression for Scientific Data.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
ACStor: Optimizing Access Performance of Virtual Disk Images in Clouds.
IEEE Trans. Parallel Distributed Syst., 2017
Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model.
IEEE Trans. Parallel Distributed Syst., 2017
Toward General Software Level Silent Data Corruption Detection for Parallel Applications.
IEEE Trans. Parallel Distributed Syst., 2017
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets.
Proceedings of the High Performance Computing, 2017
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017
Maximizing the Profit of Cloud Broker with Priority Aware Pricing.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
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Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017
MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
LogAider: A tool for mining potential correlations of HPC log events.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications.
IEEE Trans. Parallel Distributed Syst., 2016
Dynamic resource scheduling in cloud radio access network with mobile cloud computing.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016
Dynamic Acceleration of Parallel Applications in Cloud Platforms by Adaptive Time-Slice Control.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Fast Error-Bounded Lossy HPC Data Compression with SZ.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016
Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016
2015
Synchronization-Aware Scheduling for Virtual Clusters in Cloud.
IEEE Trans. Parallel Distributed Syst., 2015
Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform.
IEEE Trans. Cloud Comput., 2015
Optimization of Composite Cloud Service Processing with Virtual Machines.
IEEE Trans. Computers, 2015
GloudSim: Google trace based cloud simulator with virtual machines.
Softw. Pract. Exp., 2015
Optimization of asynchronous graph processing on GPU with hybrid coloring model.
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications.
Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015
An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2014
Characterizing and modeling cloud applications/jobs on a Google data center.
J. Supercomput., 2014
Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors.
IEEE Trans. Cloud Comput., 2014
Google hostload prediction based on Bayesian model with optimized feature combination.
J. Parallel Distributed Comput., 2014
Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales.
Proceedings of the International Conference for High Performance Computing, 2014
Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014
Communication-driven scheduling for virtual clusters in cloud.
Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014
GIRAFFE: A scalable distributed coordination service for large-scale systems.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014
2013
Error-Tolerant Resource Allocation and Payment Minimization for Cloud System.
IEEE Trans. Parallel Distributed Syst., 2013
Dynamic Optimization of Multiattribute Resource Allocation in Self-Organizing Clouds.
IEEE Trans. Parallel Distributed Syst., 2013
Ex-post efficient resource allocation for Self-organizing Cloud.
Comput. Electr. Eng., 2013
Optimization of cloud task processing with checkpoint-restart mechanism.
Proceedings of the International Conference for High Performance Computing, 2013
Optimization and stabilization of composite service processing in a cloud system.
Proceedings of the 21st IEEE/ACM International Symposium on Quality of Service, 2013
Characterizing Cloud Applications on a Google Data Center.
Proceedings of the 42nd International Conference on Parallel Processing, 2013
Minimization of cloud task execution length with workload prediction errors.
Proceedings of the 20th Annual International Conference on High Performance Computing, 2013
Towards Payment-Bound Analysis in Cloud Systems with Task-Prediction Errors.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013
2012
Decentralized proactive resource allocation for maximizing throughput of P2P Grid.
J. Parallel Distributed Comput., 2012
Host load prediction in a Google compute cloud with a Bayesian model.
Proceedings of the SC Conference on High Performance Computing Networking, 2012
Characterization and Comparison of Cloud versus Grid Workloads.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012
2011
Optimal divisible resource allocation for self-organizing cloud
PhD thesis, 2011
Defeating Network Jitter for Virtual Machines.
Proceedings of the IEEE 4th International Conference on Utility and Cloud Computing, 2011
WAVNet: Wide-Area Network Virtualization Technique for Virtual Private Cloud.
Proceedings of the International Conference on Parallel Processing, 2011
Probabilistic Best-Fit Multi-dimensional Range Query in Self-Organizing Cloud.
Proceedings of the International Conference on Parallel Processing, 2011
Social-optimized win-win resource allocation for Self-organizing Cloud.
Proceedings of the 2011 International Conference on Cloud and Service Computing, 2011
2010
Dual-Phase Just-in-Time Workflow Scheduling in P2P Grid Systems.
Proceedings of the 39th International Conference on Parallel Processing, 2010
Conflict-minimizing dynamic load balancing for P2P desktop Grid.
Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010
2008
A Semantic Double-Buffer Based Approach to Enhance Semantic Web Search.
Proceedings of the Second International Conference on the Digital Society (ICDS 2008), 2008
2007
Efficient Time Series Data Classification and Compression in Distributed Monitoring.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007
A Composite-Service Authorization Prediction Platform for Grid Environment.
Proceedings of the Cooperative Design, 2007
Ontology Based Grid Information Interoperation.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007
2006
GlobalWatch: A Distributed Service Grid Monitoring Platform with High Flexibility and Usability.
Proceedings of The 1st IEEE Asia-Pacific Services Computing Conference, 2006