Guo-Jing Cong

Most-cited papers

Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing
Guo-Jing Cong, Sreedhar B. Kodali, S. Krishnamoorthy, D. Lea +2 more
2008International Conference on Parallel Processing106 citations
Semantic Scholar
Fast PGAS Implementation of Distributed Graph Algorithms
Guo-Jing Cong, G. Almási, V. Saraswat
20102010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis58 citations
Semantic Scholar
Optimizing Large-scale Graph Analysis on Multithreaded, Multicore Platforms
Guo-Jing Cong, K. Makarychev
2011IEEE International Parallel and Distributed Processing Symposium31 citations
Semantic Scholar
A framework for automated performance bottleneck detection
I-Hsin Chung, Guo-Jing Cong, D. Klepacki, Simone Sbaraglia +2 more
20082008 IEEE International Symposium on Parallel and Distributed Processing26 citations
Semantic Scholar
Application data prefetching on the IBM Blue Gene/Q supercomputer
I-Hsin Chung, Changhoan Kim, H. Wen, Guo-Jing Cong
2012International Conference for High Performance Computing, Networking, Storage and Analysis24 citations
Semantic Scholar
A Productivity Centered Tools Framework for Application Performance Tuning
H. Wen, Simone Sbaraglia, S. Seelam, I-Hsin Chung +2 more
2007International Conference on Quantitative Evaluation of Systems18 citations
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Fast PGAS connected components algorithms
Guo-Jing Cong, G. Almási, V. Saraswat
2009International Conference on Partitioned Global Address Space Programming Models14 citations
Semantic Scholar
A Study on the Locality Behavior of Minimum Spanning Tree Algorithms
Guo-Jing Cong, Simone Sbaraglia
2006International Conference on High Performance Computing13 citations Open access
Semantic Scholar
A Systematic Approach toward Automated Performance Analysis and Tuning
Guo-Jing Cong, I-Hsin Chung, H. Wen, D. Klepacki +3 more
2012IEEE Transactions on Parallel and Distributed Systems11 citations
Semantic Scholar
A Holistic Approach towards Automated Performance Analysis and Tuning
Guo-Jing Cong, I-Hsin Chung, H. Wen, D. Klepacki +3 more
2009European Conference on Parallel Processing10 citations Open access
Semantic Scholar
Guided Performance Analysis Combining Profile and Trace Tools
Judit Giménez, Jesús Labarta, F. X. Pegenaute, H. Wen +5 more
2010Euro-Par Workshops9 citations Open access
Semantic Scholar
Fast Parallel Connected Components Algorithms on GPUs
Guo-Jing Cong, P. Muzio
2014Euro-Par Workshops7 citations Open access
Semantic Scholar
Tool-assisted Optimization of Shared-memory Accesses in UPC Applications
Guo-Jing Cong, H. Wen, H. Murata, Yasushi Negishi
20122012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems6 citations
Semantic Scholar
A Selective Profiling Tool: Towards Automatic Performance Tuning
A. Bhatele, Guo-Jing Cong
2007IEEE International Parallel and Distributed Processing Symposium4 citations
Semantic Scholar
Composable Locality Optimizations for Accelerating Parallel Forest Computations
Guo-Jing Cong, Ilie Gabriel Tanase
20162016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)3 citations
Semantic Scholar
Mapping applications for high performance on multithreaded, NUMA systems
Guo-Jing Cong, H. Wen
2013ACM International Conference on Computing Frontiers3 citations
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Towards a framework for automated performance tuning
Guo-Jing Cong, S. Seelam, I-Hsin Chung, H. Wen +1 more
20092009 IEEE International Symposium on Parallel & Distributed Processing3 citations
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A scalable, asynchronous spanning tree algorithm on a cluster of SMPs
Guo-Jing Cong, Hanhong Xue
20082008 IEEE International Symposium on Parallel and Distributed Processing3 citations
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Workload Performance Characterization of DARPA HPCS Benchmarks
S. Seelam, I-Hsin Chung, Guo-Jing Cong, H. Wen +1 more
2008IEEE International Conference on High Performance Computing and Communications3 citations
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Parallel Strategies for Solving Large Unit Commitment Problems in the California ISO Planning Model
Guo-Jing Cong, C. Meyers, D. Rajan, T. Parriani
2015IEEE International Parallel and Distributed Processing Symposium2 citations Open access
Semantic Scholar
Accelerating Minimum Spanning Forest Computations on Multicore Platforms
Guo-Jing Cong, Ilie Gabriel Tanase, Ying-Long Xia
2015Euro-Par Workshops2 citations Open access
Semantic Scholar
Maximizing the performance of irregular applications on multithreaded, NUMA systems
Guo-Jing Cong, H. Wen
2013Workshop on Irregular Applications: Architectures and Algorithms2 citations
Semantic Scholar
A static analysis tool using a three-step approach for data races in HPC programs
Yasushi Negishi, H. Murata, Guo-Jing Cong, H. Wen +1 more
2012Parallel and Distributed Systems: Testing, Analysis, and Debugging2 citations
Semantic Scholar
An Efficient Framework for Multi-dimensional Tuning of High Performance Computing Applications
Guo-Jing Cong, H. Wen, I-Hsin Chung, D. Klepacki +2 more
2012IEEE International Parallel and Distributed Processing Symposium2 citations
Semantic Scholar
Locality behavior of parallel and sequential algorithms for irregular graph problems
Guo-Jing Cong, Tong Wen
20072 citations
Semantic Scholar
An efficient approach for solving large stochastic unit commitment problems arising in a California ISO planning model
T. Parriani, Guo-Jing Cong, C. Meyers, D. Rajan
20142014 IEEE PES General Meeting | Conference & Exposition1 citations Open access
Semantic Scholar
Improving Memory Access Locality for Large-Scale Graph Analysis Applications
Guo-Jing Cong, K. Makarychev
2009Parallel and Distributed Computing and Communications Systems1 citations
Semantic Scholar
A productivity centered application performance tuning framework
Simone Sbaraglia, H. Wen, S. Seelam, I-Hsin Chung +3 more
2007ValueTools1 citations Open access
Semantic Scholar
Memory Centric Computation (Mc2) for Large-Scale Graph Processing
K. Ekanadham, Guo-Jing Cong
2015Symposium on Computer Architecture and High Performance Computing0 citations
Semantic Scholar
A Synchronous Parallel Max-Flow Algorithm for Real-World Networks
Guo-Jing Cong
20142014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS)0 citations
Semantic Scholar
Application tuning through bottleneck-driven refactoring
Guo-Jing Cong, I-Hsin Chung, H. Wen, D. Klepacki +3 more
2010IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum0 citations
Semantic Scholar
An Extensible Bottleneck Discov- ery Framework
Simone Sbaraglia, I-Hsin Chung, Guo-Jing Cong, D. Klepacki +1 more
20080 citations
Semantic Scholar
A Productivity Centered Tools Framework for Application Performance Tuning
H. Wen, Simone Sbaraglia, S. Seelam, I-Hsin Chung +2 more
20070 citations
Semantic Scholar
A study on the locality behavior of parallel and sequential algorithms for connectivity problems
Guo-Jing Cong, Simone Sbaraglia
20060 citations
Semantic Scholar
A Study on the Impact of Memory Consistency Models on Parallel Algorithms for Shared-Memory Multiprocessors
Guo-Jing Cong
20050 citations
Semantic Scholar
职工“泡工伤”企业怎么办
Zhan-Liang Cao, Guo-Jing Cong
20050 citations
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