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» Performance of VLSI Engines for Lattice Computations
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FCCM
2009
IEEE
204views VLSI» more  FCCM 2009»
13 years 9 months ago
Acceleration and Energy Efficiency of a Geometric Algebra Computation using Reconfigurable Computers and GPUs
Geometric algebra (GA) is a mathematical framework that allows the compact description of geometric relationships and algorithms in many fields of science and engineering. The exe...
Holger Lange, Florian Stock, Andreas Koch, Dietmar...
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
13 years 11 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
EUROPAR
2008
Springer
13 years 7 months ago
Parallel Lattice Boltzmann Flow Simulation on Emerging Multi-core Platforms
Abstract. A parallel Lattice Boltzmann Method (pLBM), which is based on hierarchical spatial decomposition, is designed to perform large-scale flow simulations. The algorithm uses ...
Liu Peng, Ken-ichi Nomura, Takehiro Oyakawa, Rajiv...
ISPD
2005
ACM
188views Hardware» more  ISPD 2005»
13 years 11 months ago
A semi-persistent clustering technique for VLSI circuit placement
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...
FCCM
1997
IEEE
111views VLSI» more  FCCM 1997»
13 years 10 months ago
Real-time stereo vision on the PARTS reconfigurable computer
This paper describes a powerful, scalable, reconfigurable computer called the PARTS engine. The PARTS engine consists of 16 Xilinx 4025 FPGAs, and 16 one-megabyte SRAMs. The FPGAs...
John Woodfill, Brian Von Herzen