Chao Jin

According to our database, Chao Jin authored at least 32 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Moving small files in a networked environment.

Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu

Future Gener. Comput. Syst., 2023

2022

Democratising large scale instrument-based science through e-Infrastructure.

David Abramson, Deborah S. Barkauskas, Jake Carroll, Nicholas D. Condon, Naphak Modhiran, Hoang Nguyen, James Springfield, Daniel Watterson, Chao Jin

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020

A BeeGFS-Based Caching File System for Data-Intensive Parallel Computing.

David Abramson, Chao Jin, Justin Luong, Jake Carroll

Proceedings of the Supercomputing Frontiers - 6th Asian Conference, 2020

2019

Statistical and machine learning models for optimizing energy in parallel applications.

Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski

Int. J. High Perform. Comput. Appl., 2019

A Cache-Based Data Movement Infrastructure for On-demand Scientific Cloud Computing.

David Abramson, Jake Carroll, Chao Jin, Michael Mallon, Zane van Iperen, Hoang Nguyen, Allan McRae, Liang Ming

Proceedings of the Supercomputing Frontiers - 5th Asian Conference, 2019

2018

Energy efficiency modeling of parallel applications.

Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski

Proceedings of the International Conference for High Performance Computing, 2018

2017

A survey on software methods to improve the energy efficiency of parallel computing.

Chao Jin, Bronis R. de Supinski, David Abramson, Heidi Poxon, Luiz DeRose, Minh Ngoc Dinh, Mark Endrei, Elizabeth R. Jessup

Int. J. High Perform. Comput. Appl., 2017

A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs.

Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski

Proceedings of the Parallel Computing is Everywhere, 2017

A Metropolitan Area Infrastructure for Data Intensive Science.

David Abramson, Jake Carroll, Chao Jin, Michael Mallon

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

Runtime Verification of Scientific Computing: Towards an Extreme Scale.

Minh Ngoc Dinh, Chao Jin, David Abramson, Clinton L. Jeffery

Proceedings of the 5th Workshop on Extreme-Scale Programming Tools, 2016

Runtime Verification of Scientific Codes Using Statistics.

Minh Ngoc Dinh, David Abramson, Chao Jin

Proceedings of the International Conference on Computational Science 2016, 2016

2015

A data-centric framework for debugging highly parallel applications.

Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose

Softw. Pract. Exp., 2015

Relative debugging for a highly parallel hybrid computer system.

Luiz De Rose, Andrew Gontarek, Aaron Vose, Robert Moench, David Abramson, Minh Ngoc Dinh, Chao Jin

Proceedings of the International Conference for High Performance Computing, 2015

2014

Scalable Relative Debugging.

Minh Ngoc Dinh, David Abramson, Chao Jin

IEEE Trans. Parallel Distributed Syst., 2014

Statistical assertion: A more powerful method for debugging scientific applications.

Minh Ngoc Dinh, David Abramson, Chao Jin

J. Comput. Sci., 2014

Supporting Relative Debugging for Large-scale UPC Programs.

Minh Ngoc Dinh, David Abramson, Chao Jin, Luiz De Rose, Bob Moench, Andrew Gontarek

Proceedings of the International Conference on Computational Science, 2014

2013

Extending the Eclipse Parallel Tools Platform Debugger with Scalable Parallel Debugging Library.

Chao Jin, Liang Ding, David Abramson

Proceedings of the International Conference on Computational Science, 2013

2012

Debugging Scientific Applications With Statistical Assertions.

Minh Ngoc Dinh, David Abramson, Chao Jin, Donny Kurniawan, Andrew Gontarek, Bob Moench, Luiz De Rose

Proceedings of the International Conference on Computational Science, 2012

Scalable parallel debugging with statistical assertions.

Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose

Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

A Scalable Parallel Debugging Library with Pluggable Communication Protocols.

Chao Jin, David Abramson, Minh Ngoc Dinh, Andrew Gontarek, Robert Moench, Luiz De Rose

Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011

Assertion Based Parallel Debugging.

Minh Ngoc Dinh, David Abramson, Donny Kurniawan, Chao Jin, Bob Moench, Luiz De Rose

Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011

2009

Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction

Chao Jin, Jayavardhana Gubbi, Rajkumar Buyya, Marimuthu Palaniswami

CoRR, 2009

An Adaptive Mechanism for Fair Sharing of Storage Resources.

Chao Jin, Rajkumar Buyya

Proceedings of the 21st International Symposium on Computer Architecture and High Performance Computing, 2009

MapReduce Programming Model for .NET-Based Cloud Computing.

Chao Jin, Rajkumar Buyya

Proceedings of the Euro-Par 2009 Parallel Processing, 2009

Enabling Computational Steering with an Asynchronous-Iterative Computation Framework.

Alexandre di Costanzo, Chao Jin, Carlos A. Varela, Rajkumar Buyya

Proceedings of the Fifth International Conference on e-Science, 2009

2008

Gridbus Work?ow Management System on Clouds and Global Grids.

Suraj Pandey, Chao Jin, William Voorsluys, Mustafizur Rahman, Rajkumar Buyya

Proceedings of the Fourth International Conference on e-Science, 2008

MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms.

Chao Jin, Christian Vecchiola, Rajkumar Buyya

Proceedings of the Fourth International Conference on e-Science, 2008

2007

BitVault: a highly reliable distributed data retention platform.

Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin

ACM SIGOPS Oper. Syst. Rev., 2007

Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications.

Xingchen Chu, Krishna Nadiminti, Chao Jin, Srikumar Venugopal, Rajkumar Buyya

Proceedings of the Third International Conference on e-Science and Grid Computing, 2007

2004

TODS: cluster object storage platform designed for scalable services.

Feng Zhou, Chao Jin, Yinghui Wu, Weimin Zheng

Future Gener. Comput. Syst., 2004

RepStore: A Self-Managing and Self-Tuning Storage Backend with Smart Bricks.

Zheng Zhang, Shiding Lin, Qiao Lian, Chao Jin

Proceedings of the 1st International Conference on Autonomic Computing (ICAC 2004), 2004

2002

A distributed persistent object store for scalable service.

Chao Jin, Weimin Zheng, Feng Zhou, Yinghui Wu

ACM SIGOPS Oper. Syst. Rev., 2002