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Ph.D.
Student
High-performance Computing and Simulation Laboratory (HCS)
NSF Center for High-Performance Reconfigurable Computing (CHREC)
Department
of Electrical and
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Office |
317 Larsen |
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Office Phone # |
(352)392-9034 |
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Cell Phone # |
(352)283-1636 |
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Email |
wangg at hcs dot ufl dot edu |
2007. Performance
prediction of dual paradigm and reconfigurable systems.
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Modeling
and performance prediction for SRC computing systems – SRC-6 and SRC-7
·
Implemented
the prediction methodology into modeling and analysis tool via MLDesigner (http://www.mldesigner.de/cms/index.php?id=227&L=0)
2010. Core-level
modeling and design (CMD) framework for hardware designs of RC
applications.
·
Create
modeling and analysis concepts and methodologies [1]
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Implemented
and integrated in the reconfigurable computing modeling language (RCML)
framework
2011.
Improve RCML to enable modeling of
greater application domain
·
Include
semantics to model control structures
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Include
high-level bottleneck detection
2009. Create
concepts, quantitative metrics and analysis methodologies of evolvability, reliability and supply chain integrity, for
long life cycle (LLC) electronic systems
·
Create
concepts, quantitative metrics
·
Create
analysis algorithms
1. G.
Wang, G. Stitt, H. Lam, and A. George, "A Framework for
Core-level Modeling and Design of Reconfigurable Computing Algorithms," Proc.
of High-Performance Reconfigurable Computing Technology and Applications
Workshop (HPRCTA)
at SC'09, Portland, OR, Nov. 15, 2009.
2.
C.
Reardon, E. Grobelny, A. George, and G. Wang, "A Simulation Framework
for Rapid Analysis of Reconfigurable Computing Systems," ACM
Transactions on Reconfigurable Technology and Systems (TRETS), Vol. 3, No. 4, Nov. 2010, pp.
25:1-25:29.
3.
G.
Stitt, A. George, H. Lam, M. Smith, V. Aggarwal, G. Wang,
C. Reardon, B. Holland, S. Koehler, and J.”Coole,
“An End-to-End Tool Flow for FPGA-Accelerated Scientific Computing,"
IEEE Design & Test of Computers (D&T), Vol. 28, No. 4, July/Aug. 2011,
pp. 68-77.
Spring 2012:
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CHREC ALL-Hands |
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