Practical problems in VLSI physical design automation · Read more · VLSI Physical Design Automation: Theory and Practice. Read more. VLSI Physical Design Automation: Theory and Practice fills the void and is an essential introduction for senior undergraduates, postgraduates and anyone. It sounds good when knowing the vlsi physical design automation theory and practice in this website. This is one of the books that many people looking for.
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VLSI physical design automation theory and practice. Material. Type. Book. Language English. Title. VLSI physical design automation theory and practice. Download as PDF, TXT or read online from Scribd. Flag for VLSI PHYSICAL. DESIGN AUTOMATION: Theory and Practice. Sadiq M. Sait Habib Youssef. a design engineer relies on software supplied by a CAD to the layout of random logic. The book concludes with a vendor to complete the design of the physical.
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Showing Rating details. Sort order. Sadiq M. Pradeep Sharma rated it really liked it Nov 11, Joseph added it Aug 26, Abc added it Dec 27, Naveen marked it as to-read Jan 14, Aruna Arya marked it as to-read May 21, Rinky Sahu marked it as to-read Sep 18, Mahak Mj marked it as to-read Nov 16, Charantej Peteti marked it as to-read Dec 23, Sachin marked it as to-read Jan 16, Siva Kumar marked it as to-read Mar 03, Atif Yasin marked it as to-read Aug 12, Hemin Kh added it Aug 19, Ron added it Aug 31, Prabha Choudhary marked it as to-read Nov 21, Shubham Jain added it Jan 04, During placement there has to be enough space reserved to ensure the completion of all interconnections later on.
In the routing phase, pins Figure 1: The input for a xed cell top on the border of the modules have to be connected. The algorithm described in this paper combines the routing with the placement pro- A layout is described by the positions of the mod- cess during layout generation.
For a more detailed ules, the chosen implementation for the exible mod- description of the usual phases and possible solution ules and the routes of the interconnection nets on methods in contrast to the approach described in this the layout-surface between the cells.
A feasible way to characterize the placement of the modules is a binary slicing tree. This tree is the problem spe- ci c genotype encoding for the layout optimization cf. Each module represents a functional unit which consists of hierarchically arranged sub- cells. There are two kinds of modules cf.
For the interconnection nets of a exible module, only a list of terminals for each side is given but no exact termi- nal positions, because these vary with the di erent Figure 2: The genotype representation implementations. For that, a complete graph is con- by its leaves.
Each inner node represents a meta- structed: the nodes represent the blocks, and each block, which de nes the arrangement for the set of edge is weighted with a value which de nes the qual- blocks characterized by the leaves of the correspond- ity of a meta-block consisting of the two blocks char- ing sub-tree and information about the routing in- acterized by the adjacent nodes.
A matching in this side this partial layout. All possible implementations graph is a set of disjunct node pairs and the max- for exible blocks are taken into account by storing imum weighted matching is the matching with the shape-functions for all nodes in the tree so that a maximal sum of edge weights cf.
The qual- single individual represents di erent layouts, if some ity of a meta-block is marked out by the number of blocks are exible. When combining two blocks to common nets of the combined blocks. Hence, the shape- functions of both blocks can be added which results in a shape-function for the meta-block.
For the example shown in gure 65 75 3, two exible blocks with three and two implemen- 80 tations are positioned upon. The shape-function for the resulting meta-block has only two di erent non redundant implementations. An upper bound for the routing space inside the meta-block is computed 60 and added to its shape-function. In the second iteration, meta-blocks which consist of two blocks are paired, in the third iteration meta-blocks with four blocks are combined, and so on.
This heuristic places highly connected blocks together and so re- Figure 3: The combination of two exible duces the overall wirelength and the total area of the blocks to a meta-block and the layout.
Because the iterated matching is a determin- addition of routing space istic process, care has to be taken to create various individuals. For that, randomness is included in the computation of the edge weights for some of the used matching graphs. When choosing random routes Figure 5: The construction of the detailed for all nets out of the channels, many nets are routed routing when combining a meta- to the outer border of the layout and have to be con- block nected after composing the root node.
Note that a meta-block is considered to be a xed unit in the higher levels of the tree.
When combining two blocks, all routing inside the resulting meta-block is done cf. Ter- As mentioned before, all resulting implementations minals in the channel and on the outer sides of the for the meta-blocks containing exible blocks are blocks are connected, if they are shared by a com- stored. Storing all alternatives is useful because one mon net. Nets inside the channel which could not could not decide in the lower levels of the tree, which be connected or have to be connected to more termi- implementation of a meta-block would be the best to nals than only those contained in this meta-block are minimize the overall area of the layout.
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