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» Revisiting Genetic Algorithms for the FPGA Placement Problem
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DAC
2005
ACM
14 years 8 months ago
Architecture-adaptive range limit windowing for simulated annealing FPGA placement
Previous research has shown both theoretically and practically that simulated annealing can greatly benefit from the incorporation of an adaptive range limiting window to control ...
Kenneth Eguro, Scott Hauck, Akshay Sharma
FPGA
2003
ACM
125views FPGA» more  FPGA 2003»
14 years 21 days ago
I/O placement for FPGAs with multiple I/O standards
In this paper, we present the first exact algorithm to solve the constrained I/O placement problem for FPGAs that support multiple I/O standards. We derive a compact integer line...
Wai-Kei Mak
AHS
2006
IEEE
137views Hardware» more  AHS 2006»
14 years 1 months ago
Genetic Algorithm based Engine for Domain-Specific Reconfigurable Arrays
Domain-specific reconfigurable arrays have shown to provide an efficient trade-off between flexibility of FPGA and performance of ASIC circuit. Nonetheless, the design of these he...
Wing On Fung, Tughrul Arslan, Sami Khawam
FPL
2010
Springer
124views Hardware» more  FPL 2010»
13 years 5 months ago
Finding System-Level Information and Analyzing Its Correlation to FPGA Placement
One of the more popular placement algorithms for Field Programmable Gate Arrays (FPGAs) is called Simulated Annealing (SA). This algorithm tries to create a good quality placement ...
Farnaz Gharibian, Lesley Shannon, Peter Jamieson
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
14 years 1 months ago
Multiobjective VLSI cell placement using distributed genetic algorithm
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...