Published 1987 .
Written in EnglishRead online
|The Physical Object|
|Number of Pages||91|
Download MINNET: a new heuristic technique for standard cell-placement.
An efficient heuristic for standard-cell placement H.J. Kappen Philips Research Laboratories, P.O. BoxJA Eindhoven, Netherlands Received 15 October Abstract.
A new method is presented for optimization of the one and two-dimensional quadratic assignment by: 3. VLSI cell placement problem is known to be NP complete. A wide repertoire of heuristic algorithms exists in the literature for efficiently arranging the logic cells on a VLSI chip.
VLSI cell placement problem is known to be NP complete. A wide repertoire of heuristic algorithms exists in the literature for efficiently arranging the logic cells on a VLSI chip.
The objective of this paper is to present a comprehensive survey of the various cell placement techniques, with emphasis on standard cell and macro by: new technique. Bisection The framework for our placement tool might be considered a text-book implementation of the approach of Dunlop and Kernighan.
We repeatedly divide the circuit netlist by either horizontal or ver-tical cut lines. We utilize the recent multi-level clustering based partitioning algorithm hMetis, version A new hierarchal clustering heuristic is presented that demonstrates excellent characteristics for reducing the execution time of standard-cell placement while achieving better results compared to.
A traditional standard cell library consists of various functional cells with the same height, which could speed up VLSI design flow since designers could align cells to placement sites in rows. Standard cell placement algorithms have been at the forefront of academic research concerning the physical design stages of VLSI design flows.
The penultimate step of a standard cell placement procedure is legalization. In this step the manufacturability of the design is directly settled, and the quality of the solution, in terms of wirelength, congestion, timing and power consumption is.
Thesis: "MINNET: A New Heuristic Technique For Standard Cell Placement". M.W-H. Leung, Thesis: "A Fast Implementation of the Normalized Least Squares Lattice Adaptive Filter" (co-supervised with Prof. J.L. Yen). Heuristic spanning and section annealing are shown experimentally to converge to the same final cost function as regular simulated annealing.
These approaches achieve significant speedup over uniprocessor simulated annealing, giving high-quality VLSI placement of standard. (1) Because the TPL layout decomposition problem is NP-hard , most of the decomposers are based on approximation or heuristic methods, possibly leading to extra conflicts being reported.
(2) For each design, since the library only contains a fixed number of standard cells, layout decomposition would contain numerous redundant works.
Standard cell placement is a NP complete open problem. The main objectives of a placement algorithm are to minimize chip area and the total wire length of all the nets.
We present a new. Since this problem is NP-hard, heuristic techniques have to be applied. Modern approaches include simulated annealing and genetic algorithms. In this paper, we discuss those methods and show that they can be improved by combination.
A heuristic technique called parallel recombinative simulated annealing (PRSA) is described. It integrates. Many meta-heuristic approaches have been developed in literature to solve the standard cell placement problem like simulated annealing algorithm , simulated evolution algorithm [5.
Standard-cell placement. In a standard-cell design, all modules have the same height. The placement of standard cells has to be aligned with some prespecified standard-cell rows in the placement region.
Because of the popularity of standard-cell design, most placement algorithms assume a standard-cell design style. A novel technique is introduced, called stochastic evolution (SE), for solving a wide range of combinatorial optimization problems.
It is shown that SE can be specifically tailored to solve the network bisection, traveling salesman, and standard cell placement problems. A Parallel Tabu Search Algorithm for VLSI standard-cell placement. In: Proceedings of The IEEE International Symposium on Circuits and Systems (ISCAS ), Geneva, vol.
2, pp. – () Google Scholar. We propose a novel algorithm for placement of standard cells in VLSI circuits based on an analogy of this problem with neural networks. By employing some of the organising principles of these nets, we have attempted to improve the behaviour of the bipartitioning method as proposed by Kernighan and Lin.
Our algorithm yields better quality placements compared with the above method, and also. A hierarchical placement algorithm which combines mincut partitioning and simulated annealing has been developed.
The objective of mincut partitioning is to minimise the number of crossing nets, while the objective of placement by simulated annealing is usually to minimise the total estimated wire length.
The combined placement algorithm can optimise both the routing density and the. In standard cell placement, a circuit is given consisting of cells with a standard height, (different widths) and the problem is to place the cells in the standard rows of a chip area so that no overlaps occur and some target function is optimized.
The process is usually split into at least two phases. In a first pass, a global placement algorithm distributes the cells across the circuit area. A linear-time heuristic for improving network partitions, Proceedings of the Design Automation Hybrid techniques for standard cell placement, Proceedings of the International Conference on Computer-Aided Design, pp.
TimberWolf A new standard cell placement and global routing package, Proceedings of the Design Automation. The technique of circuit partitioning has been applied to standard cell placement for many years.
A fuzzy-clustering-based algorithm is proposed to obtain a better two-way area-constrained partitioning for a partitioning-oriented standard cell placement. The proposed algorithm has tested several industrial circuit benchmarks, and the experimental results have shown that the algorithm obtains a.
Numerical results on a set of benchmark circuits illustrate that this new approach produces standard cell placements that are up to 17% better in wire length, 14% better in row length and up to 24 times faster than a well known Simulated Annealing placement heuristic.
IFORS. This can be achieved by the use of a problem specific genotype encoding, and hybrid, knowledge based techniques, which support the algorithm during the creation of the initial individuals and the optimization process.
In this paper a novel memetic algorithm, which is used to solve standard cell placement problem is presented. 1For example, a modern top-down standard-cell placement tool will perform recursive min-cut bisection of a gate-level hypergraph to obtain a coarse global placement, which is then rened into a detailed placement by local optimizations.
This entire placement process, for example, takes approximately 1. VLSI-Design. During this quarter the VLSI projectcontinued its work on thedesign of a prototype, knowledge-based, circuit-level IC work consisted primarily of researchon heuristic layout algorithms and designconstraint integration techniques and a studyofsystem-level designer interfaces.
Specific accomplishments during thisquarter included: 1. A technique was developed for. The book deals with all aspects of VLSI physical design, from partitioning and floorplanning to layout generation and silicon compilation; provides a comprehensive treatment of most of the popular algorithms; covers developments and gives a bibliography for further research; and offers fully-described examples, problems and programming exercises.
A Comparison of Genetic/Memetic Algorithms and Other Heuristic Search Techniques ICAI Las Vegas, Nevada, June, S. Areibi, M. Thompson, A.
Vannelli A Utility-Based Iterative Improvement Heuristic for Standard-Cell Placement ERSA Las Vegas, Nevada, June, S. Areibi Hierarchical Placement Tool CMC In this paper the solution to the problem of placing n connected points (or nodes) in r-dimensional Euclidean space is criterion for optimality is minimizing a weighted sum of squared distances between the points subject to quadratic constraints of the form X′X = 1, for each of the r unknown coordinate vectors.
It is proved that the problem reduces to the minimization of a sum or r. A new optimization cost model for VLSI standard cell placement. Proceedings of IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97, In this paper, we present FastPlace-- a fast, iterative, flat placement algorithm for large-scale standard cell ace is based on the quadratic placement approach.
The quadratic approach formulates the wirelength minimization problem as a convex quadratic program, which can be solved efficiently by some analytical techniques. Sechen and A.
Sangiovanni-Vincentelli. Timberwolf A new standard cell placement and global routing package. In Proc. Design Automation Conf, pagesGoogle Scholar Digital Library; M. Breuer. A class of min-cut placement algorithms.
In Proc. Design Automation Conf, pagesGoogle Scholar Digital Library. A new placement method is presented in this paper. A quadratic optimization problem is formulated to generate a global initial placement.
The novel st. The new heuristic based on this criteria is described in the section 'New heuristics derived from model (6)'. Min-cut heuristic for model (5) A popular heuristic is based on the minimization of connectivity between successive partitions.
This method is widely cel lrow n- 1 cellrow n cellrow 1 cel I row 2 celirow n- 1 cellrow n Figure 3. An efficient terminal alignment heuristic for delay minimization is employed to further optimize the delay of the circuit in the routing phase.
Simulation results show that the proposed technique can achieve comparable circuit delays (after routing) to those obtained with VPR while achieving a 7-fold speedup in placement runtime.
Such hybrid techniques are known as iterated local search algorithms or meta-heuristics. In this paper we seek to assess the work done in the job-shop domain by providing a review of many of the techniques used. The impact of the major contributions is indicated by applying these techniques to a set of standard benchmark problems.
Dunlop and B. Kernighan, "A Procedure For Placement Of Standard-cell VLSI Circuits", IEEE Trans. on Computer-Aided Design, pp(pdf) Capo or Feng- shui (partition-based placement): see GSRC bookshelf.
Sample Content Downloadable Sample Chapter. Click here for a sample chapter for this book: pdf Preface. Preface. This book describes how genetic algorithms (GAs)can be utilized for developing effcient computer-aided design (CAD)tools for performing VLSI design optimiza- tion,layout generation,and chip testing is written primarily for practicing CAD engineers and academic.
The standard cell placement is one of the significant phases in VLSI circuit design. Many heuristic approaches have been developed in literature to solve this problem.
A Utility-Based Iterative Improvement Heuristic for Standard Cell Placement First International Conference on Engineering and Reconfigurable Systems and Algorithms (ERSA), Las Vegas, Nevada, pp:June S. Areibi, M. Moussa, H. Abdullah, A Comparison of Genetic/Memetic Algorithms and Heuristic Searching.
Department of Mechanical and Aerospace Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ Search for other works by this author on: This Site. This study proposes a multi-objective index-based approach to optimally determine the size and location of multi-distributed generation (DG) units in distribution system with non-unity power factor considering different load models.
It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems.In: Auer M., Tsiatsos T. (eds) The Challenges of the Digital Transformation in Education. ICL Advances in Intelligent Systems and Computing, vol A detailed placement process which optimizes cell placement with up to one hundred percent densities in a linear run time.
The output from a conjugate-gradient coarse placement process is input to the detailed placement process. A dynamic programming technique is used to optimize cell placement by swapping cells between two or more rows.