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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 9 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 5 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 9 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 9 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 3 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