Fang Zheng

20 papers A 7B 2C 3Journal 3Unranked 4
YearRankTypeTitle / Venue / Authors
2019 J jnl
DeStager: feature guided in-situ data management in distributed deep memory hierarchies.
Distributed Parallel Databases
Xuechen Zhang, Fang Zheng, Bao Nguyen
2017 B conf
Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies.
ICPADS
Xuechen Zhang, Bao Nguyen, Fang Zheng
2017 — conf
GOVERNOR: Smoother Stream Processing Through Smarter Backpressure.
ICAC
Xin Chen, Ymir Vigfusson, Douglas M. Blough, Fang Zheng, Kun-Lung Wu, Liting Hu
2016 J jnl
Consistent Regions: Guaranteed Tuple Processing in IBM Streams.
Proc. VLDB Endow.
Gabriela Jacques da Silva, Fang Zheng, Daniel Debrunner, Kun-Lung Wu, Victor Dogaru, Eric Johnson, Michael Spicer, Ahmet Erdem Sariyüce
2016 C conf
FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection.
CLUSTER
Xuechen Zhang, Fang Zheng, Karsten Schwan, Matthew Wolf
2016 B conf
Landrush: Rethinking In-Situ Analysis for GPGPU Workflows.
CCGrid
Anshuman Goswami, Yuan Tian, Karsten Schwan, Fang Zheng, Jeffrey S. Young, Matthew Wolf, Greg Eisenhauer, Scott Klasky
2014 — —
Middleware for online scientific data analytics at extreme scale.
Fang Zheng
2013 A conf
Cache Topology Aware Mapping of Stream Processing Applications onto CMPs.
ICDCS
Fang Zheng, Chitra Venkatramani, Rohit Wagle, Karsten Schwan
2013 A conf
FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics.
IPDPS
Fang Zheng, Hongbo Zou, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Jai Dayal, Tuan-Anh Nguyen, Jianting Cao, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Hongfeng Yu
2013 C conf
FlexQuery: An online query system for interactive remote visual data exploration at large scale.
CLUSTER
Hongbo Zou, Karsten Schwan, Magdalena Slawiñska, Matthew Wolf, Greg Eisenhauer, Fang Zheng, Jai Dayal, Jeremy Logan, Qing Liu, Scott Klasky, Tanja Bode, Michael Clark, Matthew Kinsey
2013 A conf
GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution.
SC
Fang Zheng, Hongfeng Yu, Can Hantas, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Scott Klasky
2013 — conf
I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes.
IPDPS Workshops
Jai Dayal, Jianting Cao, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Fang Zheng, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Jay F. Lofstead
2012 — conf
Quality-Aware Data Management for Large Scale Scientific Applications.
SC Companion
Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky
2010 J jnl
DataStager: scalable data staging services for petascale applications.
Clust. Comput.
Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng
2010 A conf
Managing Variability in the IO Performance of Petascale Storage Systems.
SC
Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf
2010 A conf
PreDatA - preparatory data analytics on peta-scale machines.
IPDPS
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf
2009 A conf
Adaptable, metadata rich IO methods for portable high performance IO.
IPDPS
Jay F. Lofstead, Fang Zheng, Scott Klasky, Karsten Schwan
2009 A conf
DataStager: scalable data staging services for petascale applications.
HPDC
Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng
2009 C conf
Extending I/O through high performance data services.
CLUSTER
Hasan Abbasi, Jay F. Lofstead, Fang Zheng, Karsten Schwan, Matthew Wolf, Scott Klasky
2009 — conf
Plasma fusion code coupling using scalable I/O services and scientific workflows.
SC-WORKS
Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings