Kesheng Wu

Orcid: 0000-0002-6907-3393

Affiliations:
  • Lawrence Berkeley National Lab, Berkeley, CA, USA


According to our database1, Kesheng Wu authored at least 208 papers between 1993 and 2024.

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Bibliography

2024
ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection.
Neural Networks, 2024

Mg-SubAgg: Multi-granularity Subgraph Aggregation with topology for GNN.
Inf. Sci., 2024

Detecting Anomalies in Time Series Using Kernel Density Approaches.
IEEE Access, 2024

A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

The Art of Sparsity: Mastering High-Dimensional Tensor Storage.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Serving Deep Learning Models from Relational Databases.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis.
J. Big Data, December, 2023

Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering.
Sensors, February, 2023

Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective.
Syst., 2023

Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows.
Sensors, 2023

Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting.
CoRR, 2023

Serving Deep Learning Model in Relational Databases.
CoRR, 2023

Data Driven Dimensionality Reduction to Improve Modeling Performance✱.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Effectiveness and predictability of in-network storage cache for Scientific Workflows.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Analyzing Transatlantic Network Traffic over Scientific Data Caches.
Proceedings of the 2023 on Systems and Network Telemetry and Analytics, 2023

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption.
Proceedings of the IEEE International Conference on Big Data, 2023

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

Improving nonnegative matrix factorization with advanced graph regularization.
Inf. Sci., 2022

Real-time and post-hoc compression for data from Distributed Acoustic Sensing.
Comput. Geosci., 2022

Enhancing IoT anomaly detection performance for federated learning.
Digit. Commun. Networks, 2022

Feature Engineering and Classification Models for Partial Discharge in Power Transformers.
CoRR, 2022

Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow.
CoRR, 2022

Design and implementation of dynamic I/O control scheme for large scale distributed file systems.
Clust. Comput., 2022

Exploring Large All-Flash Storage System with Scientific Simulation.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Adaptive Optimization for Sparse Data on Heterogeneous GPUs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Predicting Slow Network Transfers in Scientific Computing.
Proceedings of the SNTA@HPDC 2022, 2022

Access Trends of In-network Cache for Scientific Data.
Proceedings of the SNTA@HPDC 2022, 2022

Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches.
Proceedings of the SNTA@HPDC 2022, 2022

Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
User-Defined Tensor Data Analysis, 2
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-70749-1, 2021

An empirical study of I/O separation for burst buffers in HPC systems.
J. Parallel Distributed Comput., 2021

Network traffic performance analysis from passive measurements using gradient boosting machine learning.
Int. J. Big Data Intell., 2021

Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers.
CoRR, 2021

Improving Botnet Detection with Recurrent Neural Network and Transfer Learning.
CoRR, 2021

Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data.
CoRR, 2021

Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Access Patterns to Disk Cache for Large Scientific Archive.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

GPU-based Classification for Wireless Intrusion Detection.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

Analyzing Scientific Data Sharing Patterns for In-network Data Caching.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

Asynchronous I/O Strategy for Large-Scale Deep Learning Applications.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

An In-Depth I/O Pattern Analysis in HPC Systems.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020

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

Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research.
CoRR, 2020

Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes.
IEEE Access, 2020

A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers.
Proceedings of the 2020 IFIP Networking Conference, 2020

DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Towards HPC I/O Performance Prediction through Large-scale Log Analysis.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

HPC Workload Characterization Using Feature Selection and Clustering.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

Botnet Detection Using Recurrent Variational Autoencoder.
Proceedings of the IEEE Global Communications Conference, 2020

Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Effective Missing Value Imputation Methods for Building Monitoring Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion.
Int. J. Mach. Learn. Cybern., 2019

Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization.
ACM J. Data Inf. Qual., 2019

Special issue on scientific and statistical data management.
Distributed Parallel Databases, 2019

IDEALEM: Statistical Similarity Based Data Reduction.
CoRR, 2019

Parallel membership queries on very large scientific data sets using bitmap indexes.
Concurr. Comput. Pract. Exp., 2019

Enabling SQL-Query Processing for Ethereum-based Blockchain Systems.
Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, 2019

SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis.
Proceedings of the High Performance Computing - 34th International Conference, 2019

Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study.
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

HDF5 as a vehicle for in transit data movement.
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2019

Automatic Detection of Network Traffic Anomalies and Changes.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Understanding Parallel I/O Performance Trends Under Various HPC Configurations.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Performance Prediction for Data Transfers in LCLS Workflow.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Similarity-based Compression with Multidimensional Pattern Matching.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters.
Proceedings of the Fourth International Conference on Fog and Mobile Edge Computing, 2019

Multidimensional Compression with Pattern Matching.
Proceedings of the Data Compression Conference, 2019

DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Understanding Data Similarity in Large-Scale Scientific Datasets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Federated Wireless Network Intrusion Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Consensus Ensemble System for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2018

Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE.
Int. J. Comput. Sci. Eng., 2018

Predicting baseline for analysis of electricity pricing.
Int. J. Big Data Intell., 2018

Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction.
CoRR, 2018

Distributed Caching for Complex Querying of Raw Arrays.
CoRR, 2018

Distributed caching for processing raw arrays.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Querying Large Scientific Data Sets with Adaptable IO System ADIOS.
Proceedings of the Supercomputing Frontiers - 4th Asian Conference, 2018

Efficient Online Hyperparameter Learning for Traffic Flow Prediction.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Modeling Data Transfers: Change Point and Anomaly Detection.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Identifying Anomalous File Transfer Events in LCLS Workflow.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Detecting Anomalies in the LCLS Workflow.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Predicting Network Traffic Using TCP Anomalies.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
ArrayBridge: Interweaving declarative array processing with high-performance computing.
CoRR, 2017

Improving Statistical Similarity Based Data Reduction for Non-Stationary Data.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Incremental View Maintenance over Array Data.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Optimizing the query performance of block index through data analysis and I/O modeling.
Proceedings of the International Conference for High Performance Computing, 2017

UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

ArrayUDF: User-Defined Scientific Data Analysis on Arrays.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns.
Proceedings of the 2017 Data Compression Conference, 2017

Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Apply Block Index Technique to Scientific Data Analysis and I/O Systems.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Parallel Variable Selection for Effective Performance Prediction.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Accurate signal timing from high frequency streaming data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Data quality challenges with missing values and mixed types in joint sequence analysis.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers.
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma.
IEEE Trans. Big Data, 2016

Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer.
IEEE J. Sel. Top. Signal Process., 2016

A science data gateway for environmental management.
Concurr. Comput. Pract. Exp., 2016

Novel Data Reduction Based on Statistical Similarity.
Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016

AMR-aware in situ indexing and scalable querying.
Proceedings of the 24th High Performance Computing Symposium, 2016

Similarity Join over Array Data.
Proceedings of the 2016 International Conference on Management of Data, 2016

Performance analysis, design considerations, and applications of extreme-scale <i>in situ</i> infrastructures.
Proceedings of the International Conference for High Performance Computing, 2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

MPO: A System to Document and Analyze Distributed Heterogeneous Workflows.
Proceedings of the Provenance and Annotation of Data and Processes, 2016

In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses.
Proceedings of the 45th International Conference on Parallel Processing, 2016

SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting.
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

Data Elevator: Low-Contention Data Movement in Hierarchical Storage System.
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Indexing Blocks to Reduce Space and Time Requirements for Searching Large Data Files.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Usage Pattern-Driven Dynamic Data Layout Reorganization.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.
CoRR, 2015

Extracting Baseline Electricity Usage Using Gradient Tree Boosting.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Heavy-tailed distribution of parallel I/O system response time.
Proceedings of the 10th Parallel Data Storage Workshop, 2015

PATHA: Performance Analysis Tool for HPC Applications.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

In-memory Query System for Scientific Dataseis.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Parallel In Situ Detection of Connected Components in Adaptive Mesh Refinement Data.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Security for the scientific data services framework.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Spatially clustered join on heterogeneous scientific data sets.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.
Concurr. Comput. Pract. Exp., 2014

Parallel data analysis directly on scientific file formats.
Proceedings of the International Conference on Management of Data, 2014

Exploring irregular time series through non-uniform fast Fourier transform.
Proceedings of the 7th Workshop on High Performance Computational Finance, 2014

Model-Driven Data Layout Selection for Improving Read Performance.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Simplifying index file structure to improve I/O performance of parallel indexing.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations.
Proceedings of the Databases in Networked Information Systems - 9th International Workshop, 2014

Parallel query evaluation as a Scientific Data Service.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
A big data approach to analyzing market volatility.
Algorithmic Finance, 2013

Why high performance visual data analytics is both relevant and difficult.
Proceedings of the Visualization and Data Analysis 2013, 2013

Accelerating gene context analysis using bitmaps.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Optimizing fastquery performance on lustre file system.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

SDS: a framework for scientific data services.
Proceedings of the 8th Parallel Data Storage Workshop, 2013

Expediting scientific data analysis with reorganization of data.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

Fast Change Point Detection for electricity market analysis.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
TECA: A Parallel Toolkit for Extreme Climate Analysis.
Proceedings of the International Conference on Computational Science, 2012

Minimizing Index Size by Reordering Rows and Columns.
Proceedings of the Scientific and Statistical Database Management, 2012

Efficient Attribute-Based Data Access in Astronomy Analysis.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Parallel I/O, analysis, and visualization of a trillion particle simulation.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Query-Driven Visualization and Analysis.
Proceedings of the High Performance Visualization, 2012

2011
Massive-Scale RDF Processing Using Compressed Bitmap Indexes.
Proceedings of the Scientific and Statistical Database Management, 2011

FastQuery: A General Indexing and Querying System for Scientific Data.
Proceedings of the Scientific and Statistical Database Management, 2011

Parallel index and query for large scale data analysis.
Proceedings of the Conference on High Performance Computing Networking, 2011

Federal market information technology in the post flash crash era: roles for supercomputing.
Proceedings of the WHPCF'11, 2011

Parallel in situ indexing for data-intensive computing.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

A Communication-Avoiding Thick-Restart Lanczos Method on a Distributed-Memory System.
Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011

BMF: Bitmapped Mass Fingerprinting for Fast Protein Identification.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

FastQuery: A Parallel Indexing System for Scientific Data.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010
Adaptive Projection Subspace Dimension for the Thick-Restart Lanczos Method.
ACM Trans. Math. Softw., 2010

Analyses of multi-level and multi-component compressed bitmap indexes.
ACM Trans. Database Syst., 2010

Multi-level bitmap indexes for flash memory storage.
Proceedings of the Fourteenth International Database Engineering and Applications Symposium (IDEAS 2010), 2010

Finding Tropical Cyclones on a Cloud Computing Cluster: Using Parallel Virtualization for Large-Scale Climate Simulation Analysis.
Proceedings of the Cloud Computing, Second International Conference, 2010

2009
Using Bitmap Index for Joint Queries on Structured and Text Data.
Proceedings of the New Trends in Data Warehousing and Data Analysis, 2009

Fast connected-component labeling.
Pattern Recognit., 2009

Optimizing two-pass connected-component labeling algorithms.
Pattern Anal. Appl., 2009

Finding Regions of Interest in Large Scientific Datasets.
Proceedings of the Scientific and Statistical Database Management, 2009

Data Parallel Bin-Based Indexing for Answering Queries on Multi-core Architectures.
Proceedings of the Scientific and Statistical Database Management, 2009

Efficiently Extracting Operational Profiles from Execution Logs Using Suffix Arrays.
Proceedings of the ISSRE 2009, 2009

Efficient joins with compressed bitmap indexes.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Accelerating Queries on Very Large Datasets.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

2008
Breaking the Curse of Cardinality on Bitmap Indexes.
Proceedings of the Scientific and Statistical Database Management, 2008

High performance multivariate visual data exploration for extremely large data.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008

Efficient Operational Profiling of Systems Using Suffix Arrays on Execution Logs.
Proceedings of the 19th International Symposium on Software Reliability Engineering (ISSRE 2008), 2008

Adaptive Bitmap Indexes for Space-Constrained Systems.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Enabling Real-Time Querying of Live and Historical Stream Data.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

Bitmap Index Design Choices and Their Performance Implications.
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007

2006
Optimizing bitmap indices with efficient compression.
ACM Trans. Database Syst., 2006

Minimizing I/O Costs of Multi-Dimensional Queries with Bitmap Indices.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets using Fast Bitmap Indices.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Imaging and visual analysis - Detecting distributed scans using high-performance query-driven visualization.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

Accelerating Network Traffic Analytics Using Query-Driven Visualization.
Proceedings of the 1st IEEE Symposium On Visual Analytics Science And Technology, 2006

2005
Query-Driven Visualization of Large Data Sets.
Proceedings of the 16th IEEE Visualization Conference, 2005

DEX: Increasing the Capability of Scientific Data Analysis Pipelines by Using Efficient Bitmap Indices to Accelerate Scientific Visualization.
Proceedings of the 17th International Conference on Scientific and Statistical Database Management, 2005

Network Traffic Analysis With Query Driven Visualization SC 2005 HPC Analytics Results.
Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005

Optimizing connected component labeling algorithms.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Optimizing I/O Costs of Multi-dimensional Queries Using Bitmap Indices.
Proceedings of the Database and Expert Systems Applications, 16th International Conference, 2005

Optimizing candidate check costs for bitmap indices.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
On the performance of bitmap indices for high cardinality attributes.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Evaluation Strategies for Bitmap Indices with Binning.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

2003
Using Bitmap Index for Interactive Exploration of Large Datasets.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003

2002
A Block Orthogonalization Procedure with Constant Synchronization Requirements.
SIAM J. Sci. Comput., 2002

Compressing Bitmap Indexes for Faster Search Operations.
Proceedings of the 14th International Conference on Scientific and Statistical Database Management, 2002

Strategies for processing ad hoc queries on large data warehouses.
Proceedings of the DOLAP 2002, 2002

2001
A Performance Comparison of bitmap indexes.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems.
SIAM J. Matrix Anal. Appl., 2000

1999
Parallel Efficiency of the Lanczos Method for Eigenvalue Problems.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

An Evaluation of the Parallel Shift-and-Invert Lanczos Method.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

1998
Dynamic Thick Restarting of the Davidson, and the Implicitly Restarted Arnoldi Methods.
SIAM J. Sci. Comput., 1998

A new Lanczos method for electronic structure calculations.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1998

Thick-Restart Lanczos Method for Symmetric Eigenvalue Problems.
Proceedings of the Solving Irregularly Structured Problems in Parallel, 1998

1996
DQGMRES: a Direct Quasi-minimal Residual Algorithm Based on Incomplete Orthogonalization.
Numer. Linear Algebra Appl., 1996

1993
Performance of the CM-5 and Message Passing Primitives.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

Sparse Matrix Computations on the CM-5.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

Basic Sparse Computations on Data Parallel Computers.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993


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