Chao Jin

34 papers A 2B 4C 1Misc 4Journal 10Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
A Cache Interaction Graph for Data Locality Optimization.
SC Workshops
Chao Jin, David Abramson, Mo'ath Qutaish, Mark Endrei, Bronis R. de Supinski
2024 — ed.
Proceedings of the 2024 Australasian Computer Science Week, ACSW 2024, Sydney, NSW, Australia, 29 January 2024 - 2 February 2024
ACSW
David Abramson, Sasha Vassar, Chao Jin
2023 J jnl
Moving small files in a networked environment.
Future Gener. Comput. Syst.
Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu
2022 B conf
Democratising large scale instrument-based science through e-Infrastructure.
e-Science
David Abramson, Deborah S. Barkauskas, Jake Carroll, Nicholas D. Condon, Naphak Modhiran, Hoang Nguyen, James Springfield, Daniel Watterson, Chao Jin
2020 — conf
A BeeGFS-Based Caching File System for Data-Intensive Parallel Computing.
SCFA
David Abramson, Chao Jin, Justin Luong, Jake Carroll
2019 — conf
A Cache-Based Data Movement Infrastructure for On-demand Scientific Cloud Computing.
SCFA
David Abramson, Jake Carroll, Chao Jin, Michael Mallon, Zane van Iperen, Hoang Nguyen, Allan McRae, Liang Ming
2019 J jnl
Statistical and machine learning models for optimizing energy in parallel applications.
Int. J. High Perform. Comput. Appl.
Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski
2018 A conf
Energy efficiency modeling of parallel applications.
SC
Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski
2017 — conf
A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs.
PARCO
Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski
2017 — conf
A Metropolitan Area Infrastructure for Data Intensive Science.
eScience
David Abramson, Jake Carroll, Chao Jin, Michael Mallon
2017 J jnl
A survey on software methods to improve the energy efficiency of parallel computing.
Int. J. High Perform. Comput. Appl.
Chao Jin, Bronis R. de Supinski, David Abramson, Heidi Poxon, Luiz DeRose, Minh Ngoc Dinh, Mark Endrei, Elizabeth R. Jessup
2016 Misc conf
Runtime Verification of Scientific Codes Using Statistics.
ICCS
Minh Ngoc Dinh, David Abramson, Chao Jin
2016 — conf
Runtime Verification of Scientific Computing: Towards an Extreme Scale.
ESPT@SC
Minh Ngoc Dinh, Chao Jin, David Abramson, Clinton L. Jeffery
2015 J jnl
A data-centric framework for debugging highly parallel applications.
Softw. Pract. Exp.
Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose
2015 A conf
Relative debugging for a highly parallel hybrid computer system.
SC
Luiz De Rose, Andrew Gontarek, Aaron Vose, Robert Moench, David Abramson, Minh Ngoc Dinh, Chao Jin
2014 J jnl
Scalable Relative Debugging.
IEEE Trans. Parallel Distributed Syst.
Minh Ngoc Dinh, David Abramson, Chao Jin
2014 J jnl
Statistical assertion: A more powerful method for debugging scientific applications.
J. Comput. Sci.
Minh Ngoc Dinh, David Abramson, Chao Jin
2014 Misc conf
Supporting Relative Debugging for Large-scale UPC Programs.
ICCS
Minh Ngoc Dinh, David Abramson, Chao Jin, Luiz De Rose, Bob Moench, Andrew Gontarek
2013 Misc conf
Extending the Eclipse Parallel Tools Platform Debugger with Scalable Parallel Debugging Library.
ICCS
Chao Jin, Liang Ding, David Abramson
2012 B conf
A Scalable Parallel Debugging Library with Pluggable Communication Protocols.
CCGRID
Chao Jin, David Abramson, Minh Ngoc Dinh, Andrew Gontarek, Robert Moench, Luiz De Rose
2012 Misc conf
Debugging Scientific Applications With Statistical Assertions.
ICCS
Minh Ngoc Dinh, David Abramson, Chao Jin, Donny Kurniawan, Andrew Gontarek, Bob Moench, Luiz De Rose
2012 B conf
Scalable parallel debugging with statistical assertions.
PPoPP
Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose
2011 B conf
Assertion Based Parallel Debugging.
CCGRID
Minh Ngoc Dinh, David Abramson, Donny Kurniawan, Chao Jin, Bob Moench, Luiz De Rose
2009 C conf
An Adaptive Mechanism for Fair Sharing of Storage Resources.
SBAC-PAD
Chao Jin, Rajkumar Buyya
2009 — conf
Enabling Computational Steering with an Asynchronous-Iterative Computation Framework.
eScience
Alexandre di Costanzo, Chao Jin, Carlos A. Varela, Rajkumar Buyya
2009 J jnl
Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction
CoRR
Chao Jin, Jayavardhana Gubbi, Rajkumar Buyya, Marimuthu Palaniswami
2009 — conf
MapReduce Programming Model for .NET-Based Cloud Computing.
Euro-Par
Chao Jin, Rajkumar Buyya
2008 — conf
Gridbus Work?ow Management System on Clouds and Global Grids.
eScience
Suraj Pandey, Chao Jin, William Voorsluys, Mustafizur Rahman, Rajkumar Buyya
2008 — conf
MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms.
eScience
Chao Jin, Christian Vecchiola, Rajkumar Buyya
2007 — conf
Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications.
eScience
Xingchen Chu, Krishna Nadiminti, Chao Jin, Srikumar Venugopal, Rajkumar Buyya
2007 J jnl
BitVault: a highly reliable distributed data retention platform.
ACM SIGOPS Oper. Syst. Rev.
Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin
2004 — conf
RepStore: A Self-Managing and Self-Tuning Storage Backend with Smart Bricks.
ICAC
Zheng Zhang, Shiding Lin, Qiao Lian, Chao Jin
2004 J jnl
TODS: cluster object storage platform designed for scalable services.
Future Gener. Comput. Syst.
Feng Zhou, Chao Jin, Yinghui Wu, Weimin Zheng
2002 J jnl
A distributed persistent object store for scalable service.
ACM SIGOPS Oper. Syst. Rev.
Chao Jin, Weimin Zheng, Feng Zhou, Yinghui Wu