Search Results - "Gu, Junmin"
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ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management
Published in SoftwareX (01-07-2020)“…We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses scientific data management needs ranging from scalable I/O…”
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Performance Analysis, Design Considerations, and Applications of Extreme-Scale In Situ Infrastructures
Published in SC16: International Conference for High Performance Computing, Networking, Storage and Analysis (01-11-2016)“…A key trend facing extreme-scale computational science is the widening gap between computational and I/O rates, and the challenge that follows is how to best…”
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Conference Proceeding -
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Apply Block Index Technique to Scientific Data Analysis and I/O Systems
Published in 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (14-05-2017)“…Scientific discoveries are increasingly relying on analysis of massive amounts of data. The ability to directly access the most relevant data records through…”
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Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization
Published in IEEE transactions on parallel and distributed systems (01-04-2022)“…The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with…”
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Adaptation and policy-based resource allocation for efficient bulk data transfers in high performance computing environments
Published in 2014 Fourth International Workshop on Network-Aware Data Management (16-11-2014)“…Many science applications increasingly make use of data-intensive methods that require bulk data movement such as staging of large datasets in preparation for…”
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Conference Proceeding -
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Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows
Published in 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (01-05-2016)“…Data driven science is becoming increasingly more common, complex, and is placing tremendous stresses on visualization and analysis frameworks. Data sources…”
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Conference Proceeding -
7
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
Published in IEEE transactions on parallel and distributed systems (29-07-2021)“…The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with…”
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Journal Article -
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Efficient Data Staging Using Performance-Based Adaptation and Policy-Based Resource Allocation
Published in 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (01-02-2014)“…Before scientific analyses run on shared infrastructure, such as the Open Science Grid or XSEDE, scientists must often transfer or stage key data sets those…”
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Conference Proceeding -
9
Resolution dependence of precipitation statistical fidelity in hindcast simulations
Published in Journal of advances in modeling earth systems (01-06-2016)“…Numerous studies have shown that atmospheric models with high horizontal resolution better represent the physics and statistics of precipitation in climate…”
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Adaptive Data Transfers that Utilize Policies for Resource Sharing
Published in 2012 SC Companion: High Performance Computing, Networking Storage and Analysis (01-11-2012)“…With scientific data collected at unprecedented volumes and rates, the success of large scientific collaborations requires that they provide distributed data…”
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Conference Proceeding -
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StorNet: Co-scheduling of end-to-end bandwidth reservation on storage and network systems for high-performance data transfers
Published in 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (01-04-2011)“…Modern scientific data-intensive applications brought about the need for novel data transfer technologies and automated tools capable of effectively utilizing…”
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12
Object-extended OLAP querying
Published in Data & knowledge engineering (01-05-2009)“…On-line analytical processing (OLAP) systems based on a dimensional view of data have found widespread use in business applications and are being used…”
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13
DataMover: robust terabyte-scale multi-file replication over wide-area networks
Published in Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004 (2004)“…Typically, large scientific datasets (order of terabytes) are generated at large computational centers, and stored on mass storage systems. However, large…”
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14
Storage Resource Managers: Recent International Experience on Requirements and Multiple Co-Operating Implementations
Published in 24th IEEE Conference on Mass Storage Systems and Technologies (MSST 2007) (01-09-2007)“…Storage management is one of the most important enabling technologies for large-scale scientific investigations. Having to deal with multiple heterogeneous…”
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15
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting
Published 02-11-2023“…This work starts an in situ processing capability to study a certain diffusion process in magnetic confinement fusion. This diffusion process involves plasma…”
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16
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
Published 19-01-2022“…This paper aims to create a transition path from file-based IO to streaming-based workflows for scientific applications in an HPC environment. By using the…”
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17
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
Published 15-07-2021“…IEEE Transactions on Parallel and Distributed Systems, 2021 The applications being developed within the U.S. Exascale Computing Project (ECP) to run on…”
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Journal Article -
18
Grid collector: an event catalog with automated file management
Published in 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515) (2003)“…High Energy Nuclear Physics (HENP) experiments such as STAR at BNL and ATLAS at CERN produce large amounts of data that are stored as files on mass storage…”
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