DocumentCode
3000526
Title
A practical algorithm for connectivity extraction for very large VLSI layouts
Author
Sharathkumar, R. ; Maheshwari, Puneet ; Gupta, Prosenjit
Author_Institution
Algorithms & Comput. Theor. Lab., Int. Inst. of Inf. Technol., Hyderabad
Volume
2
fYear
2006
fDate
6-9 Aug. 2006
Firstpage
491
Lastpage
495
Abstract
Moore´s law is alive and well. With designs entering the billion transistor era, there is an ever increasing demand on CAD tools to handle larger data sizes efficiently. One problem with processing large VLSI layouts is that the data to be processed is far too massive to fit into main memory. When dealing with data sets of sizes exceeding main memory, communication between the fast internal memory and the slow external memory is often the performance bottleneck and algorithms and data structures designed under the assumption of a single level of memory may not be meaningful. External memory algorithms try to optimize performance by taking into account disk accesses. One can certainly use the standard main memory algorithms for data that reside on disk but their performance is often considerably below the optimum because there is no control over how the operating system performs disk accesses. On demand thrashing can be high thus resulting in an increase in response time.
Keywords
VLSI; circuit layout CAD; data structures; integrated circuit layout; integrated memory circuits; CAD tools; Moore´s law; connectivity extraction; data processing; data structures; external memory algorithm; on demand thrashing; very large VLSI layout; Algorithm design and analysis; Computation theory; Control systems; Data mining; Data structures; Delay; Design automation; Laboratories; Operating systems; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location
San Juan
ISSN
1548-3746
Print_ISBN
1-4244-0172-0
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2006.382320
Filename
4267398
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