Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
FAST CONSTRAINT GRAPH GENERATION ALGORITHMS FOR VLSI LAYOUT COMPACTION
Date
1994-04-14
Author
TORUNOGLU, IH
ASKAR, M
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
141
views
0
downloads
Cite This
Three new fast constraint graph generation algorithms, PPSS-1D, PPSS-1Dk and PPSS-2D, are presented for VLSI layout compaction. The algorithms are based on parallel plane sweep shadowing (PPSS). The PPSS-1D algorithm improves the time spent on searching processes from O(N/spl circ/1.5) to O(G*N) with extra O(G) memory where G is independent of N. PPSS-1Dk, the successor to PPSS-1D, eliminates the possibility of generation of unnecessary constraints using extra O(k*G) memory. PPSS-2D improves the O(NlogN) sorting time required by PPSS to O(NlogN/logG). The experimental results show the superiority of each algorithm to the PPSS algorithm on time complexity bases.
Subject Keywords
Very Large Scale Integration
,
Compaction
,
Shadow Mapping
,
Topology
,
Solid Modeling
,
Sorting
,
Fabrication
,
Humans
,
Time Factors
,
Binary Trees
URI
https://hdl.handle.net/11511/66139
Collections
Department of Mining Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
An Efficient Parallel Solution Framework for the Linear Solution of Large Systems on PC Clusters
Kurç, Özgür (Tsinghua University Press, 2008-10-01)
In this paper, a parallel solution framework for the linear static analysis of large structures on PC clusters is presented. The framework consists of two main steps: data preparation and parallel solution. The parallel solution is performed by a substructure based method with direct solvers. The aim of the data preparation step is to create the best possible substructures so that the parallel solution time is minimized. An actual structural model was solved utilizing both homogeneous and heterogeneous PC c...
Fast Algorithms for Digital Computation of Linear Canonical Transforms
Koc, Aykut; Öktem, Sevinç Figen; Ozaktas, Haldun M.; Kutay, M. Alper (2016-01-01)
Fast and accurate algorithms for digital computation of linear canonical transforms (LCTs) are discussed. Direct numerical integration takes O.N-2/time, where N is the number of samples. Designing fast and accurate algorithms that take O. N logN/time is of importance for practical utilization of LCTs. There are several approaches to designing fast algorithms. One approach is to decompose an arbitrary LCT into blocks, all of which have fast implementations, thus obtaining an overall fast algorithm. Another a...
An adaptive, energy-aware and distributed fault-tolerant topology-control algorithm for heterogeneous wireless sensor networks
Deniz, Fatih; Bagci, Hakki; KÖRPEOĞLU, İBRAHİM; Yazıcı, Adnan (2016-07-01)
This paper introduces an adaptive, energy-aware and distributed fault-tolerant topology control algorithm, namely the Adaptive Disjoint Path Vector (ADPV) algorithm, for heterogeneous wireless sensor networks. In this heterogeneous model, we have resource-rich supernodes as well as ordinary sensor nodes that are supposed to be connected to the supernodes. Unlike the static alternative Disjoint Path Vector (DPV) algorithm, the focus of ADPV is to secure supernode connectivity in the presence of node failures...
Robust feature space separation for deep convolutional neural network training
Sekmen, Ali; Parlaktuna, Mustafa; Abdul-Malek, Ayad; Erdemir, Erdem; Koku, Ahmet Buğra (2021-11-01)
This paper introduces two deep convolutional neural network training techniques that lead to more robust feature subspace separation in comparison to traditional training. Assume that dataset has M labels. The first method creates M deep convolutional neural networks called {DCNNi}i=1M" role="presentation">{DCNNi}Mi=1. Each of the networks DCNNi" role="presentation">DCNNi is composed of a convolutional neural network (CNNi" role="presentation">CNNi) and a fully connected neural network (FCNNi" role="pre...
Optimum design of grillage systems using harmony search algorithm
Erdal, Ferhat; Saka, Mehmet Polat; Department of Engineering Sciences (2007)
Harmony search method based optimum design algorithm is presented for the grillage systems. This numerical optimization technique imitates the musical performance process that takes place when a musician searches for a better state of harmony. For instance, jazz improvisation seeks to find musically pleasing harmony similar to the optimum design process which seeks to find the optimum solution. The design algorithm considers the displacement and strength constraints which are implemented from LRFD-AISC (Loa...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
I. TORUNOGLU and M. ASKAR, “FAST CONSTRAINT GRAPH GENERATION ALGORITHMS FOR VLSI LAYOUT COMPACTION,” 1994, p. 577, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66139.