Data Structures مرتضي صاحب الزماني.

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Presentation transcript:

Data Structures مرتضي صاحب الزماني

Layout Representation مرتضي صاحب الزماني

Layout Representation مرتضي صاحب الزماني

Layout Representation Data Structures must be efficient i.t.o. time and space. مرتضي صاحب الزماني

Atomic Operations for Layout Editors مرتضي صاحب الزماني

Atomic Operations مرتضي صاحب الزماني

Atomic Operations مرتضي صاحب الزماني

Atomic Operations مرتضي صاحب الزماني

Data Structures for Layout مرتضي صاحب الزماني

Linked List Representation Space Complexity: O(n) n: Number of tiles. Disadvantage: Long search time Good for hierarchical specifications (limited number of modules) مرتضي صاحب الزماني

Example: Neighbor Finding y11 y12 y21 y22 R مرتضي صاحب الزماني

Bin-Based Representation Space Complexity: O(bn) مرتضي صاحب الزماني

Example: Neighbor Finding مرتضي صاحب الزماني

Bin-Based Representation Bin Size: If too small  too many bins  memory usage. many empty bins  memory waste. If too large  many blocks inside each bin Large lists  slow. مرتضي صاحب الزماني

Neighbor Pointers Space Complexity: O(n2) No explicit space representation. Difficult updating. مرتضي صاحب الزماني

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