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» Revisiting Genetic Algorithms for the FPGA Placement Problem
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FPL
2000
Springer
122views Hardware» more  FPL 2000»
13 years 10 months ago
A Placement Algorithm for FPGA Designs with Multiple I/O Standards
State-of-the-art FPGAs possess I/O resources that can be configured to support a wide variety of I/O standards [1]. In such devices, the I/O resources are grouped into banks. One o...
Jason Helge Anderson, Jim Saunders, Sudip Nag, Cha...
EOR
2007
95views more  EOR 2007»
13 years 6 months ago
A hybrid genetic algorithm for the two-dimensional single large object placement problem
In the two-dimensional single large object placement problem, we are given a rectangular master surface which has to be cut into a set of smaller rectangular items, with the aim o...
Eleni Hadjiconstantinou, Manuel Iori
DAC
1997
ACM
13 years 10 months ago
Quadratic Placement Revisited
The “quadratic placement” methodology is rooted in [6] [14] [16] and is reputedly used in many commercial and in-house tools for placement of standard-cell and gate-array desi...
Charles J. Alpert, Tony F. Chan, Dennis J.-H. Huan...
FPGA
2006
ACM
224views FPGA» more  FPGA 2006»
13 years 10 months ago
Flexible implementation of genetic algorithms on FPGAs
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...
Tatsuhiro Tachibana, Yoshihiro Murata, Naoki Shiba...
ERSA
2010
152views Hardware» more  ERSA 2010»
13 years 4 months ago
Persistent CAD for in-the-field Power Optimization
A major focus within the Integrated Chip (IC) industry is reducing power consumption of devices. In this paper, we explore the idea of persistent CAD algorithms that constantly imp...
Peter Jamieson