(update at 11/07/2010) |
Personal Information
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Office: |
Ames Laboratory/DOE 329 Wilhelm Hall Ames, IA 50011 |
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Phone: |
(515)294-9192 |
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Fax: |
(515)294-4491 |
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Email: |
fangliu (at) scl (dot) ameslab (dot) gov |
Research
Assistantship Requirements
For those who are interested in
working in scalable computing lab,
you have to meet the following requirements before contacting me:
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Must be a full time student
in ISU CS/ECE department
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Must be in the program for
at least one semester
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Must be able to provide at
least two references
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Must demonstrate strong
desire on working with us
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Must be able to show the
proof that you have basic background
on the parallel and distributed computing, scientific computing,
object-oriented design, and knowledge of Linux, shell
environment.
Knowledge in a scientific domain, such as physics or chemistry
is a plus.
Willingness to work with application scientists.
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Must be self-motivated,
able to finish the task on time, able to
solve the problem independently
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Research Interests
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High-Performance
computing and applications
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Parallel
numerical algorithm adaptive infrastructure
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Computational
science and engineering
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Component
engineering for high-performance computing
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Distributed and
cloud computing |
Education
Ph.D. in Computer Science, Indiana University at
Bloomington, June 2009 (GPA 3.95/4.0)
Thesis advisor: Professor
Randall Bramley
Dissertation title: Building Sparse Linear Solver Component for
Large Scale Scientific Simulation and Multi-physics Coupling
M.S. in Computer Science, Indiana University at Bloomington,
Nov. 2006. (GPA 3.92/4.0)
M.S. Applied Mathematics, minor in computer science, University of
North Carolina, May 2003 (4.0/4.0)
Work Experience
Assistant Scientist, USDOE
Ames Laboratory, Scalable Computing Lab, 07/2009 – present
Summer Intern, Tech-X Corporation (Research Oriented Company), Distributed
Technologies Group, 05/2007 – 08/2007
Summer Intern, Scientific Computing Group, the National Center for Computational
Sciences (NCCS), Oak Ridge National Laboratory, 06/2006 – 08/2006
Associated Instructor,
Computer Science Department, Indiana University 01/2009 – 05/2009
Research Assistant,
Computer Science Department, Extreme Lab, Indiana University 05/2004 –
08/2004, 05/2005 – 12/2008
Support Staff,
HPC Support Group, Indiana University Wruble Computing Center,
09/2004 – 05/2005
Research Assistant,
Computer Science Department under Professor David Wise 05/2003 –
05/2004
Java Tutor,
University of North
Carolina at Wilmington, 08/2001 – 05/2002
Math lab
Instructor,
University of North
Carolina at Wilmington, 08/2000 – 05/2002
Publications
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“A Multilevel Parallelism Support for Multi-Physics Coupling
”, Fang Liu and Masha Sosonkina,
The International Conference on Computational Science (ICCS 2011),
Tsukuba, Japan, June 1-3, 2011 [pdf]
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“A Dynamic Frequency Scaling and Energy Saving in Quantum Chemistry Applications
”, Vaibhav Sundriyal, Masha Sosonkina,
Fang Liu,
Michael Schmidt The Seventh Workshop on High-Performance, Power-Aware Computing (HPPAC 2011),
Anchorage, Alaska, May 16, 2011
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“A Data Management System for Ab-Initio Nuclear Physics Applications
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Fang Liu, Ritu Mundhe,
Masha Sosonkina, Chase Cockrell, Miles Aronnax, Pieter Maris and James P. Vary High Performance Computing Symposium (HPC 2011),
Boston, MA, Apr. 3-7, 2011 [pdf]
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“A New Approach: Component-Based Multi-Physics
Coupling Through CCA-LISI”,
Fang Liu,
Masha Sosonkina and Randall Bramley The 2010 International Conference on Computational Science and Its Applications (ICCSA 2010), Fukuoka, Japan, Mar. 23-26, 2010 [pdf]
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“Coupling of Multi-Level Component
Interfaces for Parallel Sparse Linear System Solvers”,
Fang Liu,
Masha Sosonkina and Dane Coffey The 2009 Workshop on
Component-Based High Performance Computing (CBHPC 2009),
Portland, Oregon, Nov. 15-16, 2009
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“Concurrent Data Processing for Fusion
Simulation Through Distributed CCA Component”,
Fang Liu,
Nanbor Wang, Roopa Pundaleeka and Randall Bramley ISCA
22nd International Conference on Parallel and Distributed
Computing and Communication Systems (PDCCS-2009), Louisville,
KY, Sept. 24-26, 2009
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“A HPC Sparse Solver
Interface for Scalable Multilevel Methods”,
Fang Liu,
Masha Sosonkina and Randall Bramley High Performance Computing
Symposium, San Diego, CA, March 22-27, 2009 [pdf]
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“Hierarchical Usability
Levels for Sparse Linear System Solver Components”, Masha Sosonkina,
Dane Coffey, Fang Liu and Randall Bramley. short paper in workshop in Component-Based High
Performance Computing, Karsruhe, Germany, October 14-17, 2008
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“Integrating Large-scale
Distributed and Parallel HPC Applications using a Component-Based
Architecture”, Nanbor Wang,
Fang Liu
,Paul Hamill,Stephen Tramer, Rooparani
Pundaleeka and Randy Bramley, short paper in workshop in Component-Based
High Performance Computing, Karsruhe, Germany, October 14-17, 2008
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“Usability Levels for
Sparse Linear Algebra Components”, M. Sosonkina,
Fang Liu
and Randall Bramley. Concurrency and Computation: Practice and
Experience, 2008; 20:1439-1454
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“CCA-LISI: On Designing A
CCA Parallel Sparse Linear Solver Interface”,
Fang Liu, Randall
Bramley, ACM/IEEE 21th International Parallel and Distributed
Processing Symposium (IPDPS), Long Beach, CA March 2007 (10 pages) [pdf]
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“CCA-LISI: On Designing A
CCA Parallel Sparse Linear Solver Interface”,
Fang Liu, Randall
Bramley, Tech report TR644, Indiana university computer science
department, Jan 2007 (13 pages)
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“A Paradigm for Parallel
Matrix Algorithms: Scalable Cholesky”,
David S. Wise, Craig L. Citro, Joshua J. Hursey,
Fang Liu, Michael A. Rainey,
Euro-Par05, Aug 2005 |
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“An Instrument/Sensor
Analysis of the MMSF Automated Photometric Telescope”,
Fang Liu, Randall
Bramley and George Turner, Tech report TR597, Indiana university
computer science department, June 2004
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Talks
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“Designing A CCA Sparse Linear Solver Interface for Large Scale
Scientific Simulation and Multi-Physics Model Coupling”,
Fang Liu,
Ames Laboratory and Iowa State University, Ames, Iowa, Nov. 2008
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“Building CCA
Sparse Linear Solver Component for Large Scale Scientific Simulation”,
Fang Liu,
Student Research Talk, Computer Science Department, Indianan University,
Oct. 2008 |
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“Distributed CCA
Component for Fusion Simulation”, Fang Liu, Tech-X Corp, Boulder, Co, August 2007
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“CCA-LISI: On Designing A
Common Component Architecture Parallel Sparse Linear Solver Interface”,
Fang Liu,
Student Poster/presentation, SuperComputing, Tampa, FL, Nov. 2006
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“Design of A General
Sparse Linear Solver Interface”, Fang Liu,
CCA Forum 2006, Knoxville, TN, July 2006
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Social Activities
Student Volunteer in Super Computing Conference 2005/2006.
Peer reviewer for Clade 2006, SC 2007 and CBHPC 2008, Journal of
Concurrency and Computation: Practice and Experience
Program Committee Member:
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The 2009 Workshop on Component-Based
High-Performance Computing (CBHPC 2009), Portland,OR Nov. 2009
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The 2010 International Conference on
Computational Science and Its Applications (ICCSA 2010), Fukuoka,
Japan March 2010 |
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The 2010 International Conference on
Computational Science (ICCS 2010), Amsterdam, The Netherlands June
2010 |
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The 39th International Conference on
Parallel Processing (ICPP 2010), San Diego, CA Sept. 2010
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High Performance Computing Symposium (HPC
2010), Orlando, FL April 2010
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The 2010 Workshop on Component-Based
High-Performance Computing (CBHPC 2010), Brussels, Belgium, Oct. 2010
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High Performance Computing Symposium (HPC
2011), Boston, MA, April 2011
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The 2011 International Conference on
Computational Science (ICCS 2011), Tsukuba,
Japan, June 2011 |
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The 2011 International Conference on
Computational Science and Its Applications (ICCSA 2011), Santander,
Spain, June 2011 |
Honors & Awards
Travel Awards CRA-W Career Mentoring Workshop at IJCAI 2009 $1000
SC'06 ACM Student Research Competition Award Tampa, FL, 2006 $500
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