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Chao Jin 0001
Person information
- affiliation: University of Queensland, Research Computing Centre, St Lucia, Australia
- affiliation: Monash University, Clayton, Australia
- affiliation (2007 - 2009): University of Melbourne, Department of Computer Science and Software Engineering, Grid Computing and Distributed Systems (GRIDS) Laboratory, Melbourne, Australia
- affiliation (2003 - 2006): Microsoft Research Asia, Beijing, China
- affiliation (PhD 2003): Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Chao Jin — disambiguation page
- Chao Jin 0002 — Institute for Infocomm Research (I2R), Singapore (and 1 more)
- Chao Jin 0003 — Ningbo University, College of Information Science and Engineering, CKC Institute of Artificial Intelligence and Software Engineering, Zhejiang, China
Other persons with a similar name
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2020 – today
- 2024
- [e1]David Abramson, Sasha Vassar, Chao Jin:
Proceedings of the 2024 Australasian Computer Science Week, ACSW 2024, Sydney, NSW, Australia, 29 January 2024 - 2 February 2024. ACM 2024 [contents] - 2023
- [j9]Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu:
Moving small files in a networked environment. Future Gener. Comput. Syst. 139: 167-180 (2023) - 2022
- [c22]David Abramson, Deborah S. Barkauskas, Jake Carroll, Nicholas D. Condon, Naphak Modhiran, Hoang Nguyen, James Springfield, Daniel Watterson, Chao Jin:
Democratising large scale instrument-based science through e-Infrastructure. e-Science 2022: 192-203 - 2020
- [c21]David Abramson, Chao Jin, Justin Luong, Jake Carroll:
A BeeGFS-Based Caching File System for Data-Intensive Parallel Computing. SCFA 2020: 3-22
2010 – 2019
- 2019
- [j8]Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski:
Statistical and machine learning models for optimizing energy in parallel applications. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [c20]David Abramson, Jake Carroll, Chao Jin, Michael Mallon, Zane van Iperen, Hoang Nguyen, Allan McRae, Liang Ming:
A Cache-Based Data Movement Infrastructure for On-demand Scientific Cloud Computing. SCFA 2019: 38-56 - 2018
- [c19]Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski:
Energy efficiency modeling of parallel applications. SC 2018: 17:1-17:13 - 2017
- [j7]Chao Jin, Bronis R. de Supinski, David Abramson, Heidi Poxon, Luiz DeRose, Minh Ngoc Dinh, Mark Endrei, Elizabeth R. Jessup:
A survey on software methods to improve the energy efficiency of parallel computing. Int. J. High Perform. Comput. Appl. 31(6): 517-549 (2017) - [c18]David Abramson, Jake Carroll, Chao Jin, Michael Mallon:
A Metropolitan Area Infrastructure for Data Intensive Science. eScience 2017: 238-247 - [c17]Mark Endrei, Chao Jin, Minh Ngoc Dinh, David Abramson, Heidi Poxon, Luiz DeRose, Bronis R. de Supinski:
A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs. PARCO 2017: 265-276 - 2016
- [c16]Minh Ngoc Dinh, David Abramson, Chao Jin:
Runtime Verification of Scientific Codes Using Statistics. ICCS 2016: 1473-1484 - [c15]Minh Ngoc Dinh, Chao Jin, David Abramson, Clinton L. Jeffery:
Runtime Verification of Scientific Computing: Towards an Extreme Scale. ESPT@SC 2016: 26-33 - 2015
- [j6]Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose:
A data-centric framework for debugging highly parallel applications. Softw. Pract. Exp. 45(4): 501-526 (2015) - [c14]Luiz De Rose, Andrew Gontarek, Aaron Vose, Robert Moench, David Abramson, Minh Ngoc Dinh, Chao Jin:
Relative debugging for a highly parallel hybrid computer system. SC 2015: 63:1-63:12 - 2014
- [j5]Minh Ngoc Dinh, David Abramson, Chao Jin:
Statistical assertion: A more powerful method for debugging scientific applications. J. Comput. Sci. 5(2): 126-134 (2014) - [j4]Minh Ngoc Dinh, David Abramson, Chao Jin:
Scalable Relative Debugging. IEEE Trans. Parallel Distributed Syst. 25(3): 740-749 (2014) - [c13]Minh Ngoc Dinh, David Abramson, Chao Jin, Luiz De Rose, Bob Moench, Andrew Gontarek:
Supporting Relative Debugging for Large-scale UPC Programs. ICCS 2014: 1491-1503 - 2013
- [c12]Chao Jin, Liang Ding, David Abramson:
Extending the Eclipse Parallel Tools Platform Debugger with Scalable Parallel Debugging Library. ICCS 2013: 1774-1783 - 2012
- [c11]Chao Jin, David Abramson, Minh Ngoc Dinh, Andrew Gontarek, Robert Moench, Luiz De Rose:
A Scalable Parallel Debugging Library with Pluggable Communication Protocols. CCGRID 2012: 252-259 - [c10]Minh Ngoc Dinh, David Abramson, Chao Jin, Andrew Gontarek, Bob Moench, Luiz De Rose:
Scalable parallel debugging with statistical assertions. PPoPP 2012: 311-312 - [c9]Minh Ngoc Dinh, David Abramson, Chao Jin, Donny Kurniawan, Andrew Gontarek, Bob Moench, Luiz De Rose:
Debugging Scientific Applications With Statistical Assertions. ICCS 2012: 1940-1949 - 2011
- [c8]Minh Ngoc Dinh, David Abramson, Donny Kurniawan, Chao Jin, Bob Moench, Luiz De Rose:
Assertion Based Parallel Debugging. CCGRID 2011: 63-72
2000 – 2009
- 2009
- [c7]Alexandre di Costanzo, Chao Jin, Carlos A. Varela, Rajkumar Buyya:
Enabling Computational Steering with an Asynchronous-Iterative Computation Framework. eScience 2009: 255-262 - [c6]Chao Jin, Rajkumar Buyya:
MapReduce Programming Model for .NET-Based Cloud Computing. Euro-Par 2009: 417-428 - [c5]Chao Jin, Rajkumar Buyya:
An Adaptive Mechanism for Fair Sharing of Storage Resources. SBAC-PAD 2009: 75-82 - [i1]Chao Jin, Jayavardhana Gubbi, Rajkumar Buyya, Marimuthu Palaniswami:
Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction. CoRR abs/0903.1388 (2009) - 2008
- [c4]Chao Jin, Christian Vecchiola, Rajkumar Buyya:
MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms. eScience 2008: 214-221 - [c3]Suraj Pandey, Chao Jin, William Voorsluys, Mustafizur Rahman, Rajkumar Buyya:
Gridbus Work?ow Management System on Clouds and Global Grids. eScience 2008: 323-324 - 2007
- [j3]Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin:
BitVault: a highly reliable distributed data retention platform. ACM SIGOPS Oper. Syst. Rev. 41(2): 27-36 (2007) - [c2]Xingchen Chu, Krishna Nadiminti, Chao Jin, Srikumar Venugopal, Rajkumar Buyya:
Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications. eScience 2007: 151-159 - 2004
- [j2]Feng Zhou, Chao Jin, Yinghui Wu, Weimin Zheng:
TODS: cluster object storage platform designed for scalable services. Future Gener. Comput. Syst. 20(4): 549-563 (2004) - [c1]Zheng Zhang, Shiding Lin, Qiao Lian, Chao Jin:
RepStore: A Self-Managing and Self-Tuning Storage Backend with Smart Bricks. ICAC 2004: 122-129 - 2002
- [j1]Chao Jin, Weimin Zheng, Feng Zhou, Yinghui Wu:
A distributed persistent object store for scalable service. ACM SIGOPS Oper. Syst. Rev. 36(4): 36-49 (2002)
Coauthor Index
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last updated on 2024-11-28 20:29 CET by the dblp team
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