Abstract
Today’s microprocessor design is one of the most complex and computationally intensive design processes. For overcoming the design challenges, the current chip design involves significant reuse of architectural and component designs and Computer Automated Design (CAD) tools. This begs the question how does the increased level of computer assisted automation and design coordination during chip design affect the range of design activities and their structure? In this study we examine this question by exploring the highly automated design process, often referred to as “physical synthesis” (PS) design approach to the more traditional “structured digital design” (SDD) approach. Our analysis indicates that the PS approach led to smaller and more frequent iterations while the level of iterative activity remained the same across design stages.
This paper is based on work supported, in part, by the National Science Foundation under grants VOSS-0943157, VOSS-0943010, VOSS-1121935 and VOSS-1120966. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. We would like to thank Nicholas Berente, Rob Kulanthinal, James Gaskin, Zhewei Zhang, and Omri Shiv for their contributions to the project.
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References
McFarland, G.: Microprocessor Design: A Practical Guide from Design Planning to Manufacturing. McGraw-Hill, New York (2006)
Campbell, D., Mackenzie, K., Richards, M.: Emerging software frameworks for exploiting Polymorphous Computing Architectures, pp. 52–53 (2002)
Thompson, S.E., Parthasarathy, S.: Moore’s law: the future of Si microelectronics. Materials Today 9, 20–25 (2006)
Sherwood, W.: Simulation hierarchy for microprocessor design, pp. 44–49 (1977)
Xie, Y., Cong, J., Sapatnekar, S.: Three-Dimensional Integrated Circuit Design: EDA, Design and Microarchitectures. Springer (2009)
Scheffer, L., Lavagno, L., Martin, G.: EDA for IC Implementation, Circuit Design, and Process Technology. CRC Press, Boca Raton (2006)
Wood, R.E.: Task complexity: Definition of the construct* 1. Organizational Behavior and Human Decision Processes 37, 60–82 (1986)
Shoval, N., Isaacson, M.: Sequence alignment as a method for human activity analysis in space and time. Annals of the Association of American Geographers 97, 282–297 (2007)
Wilson, C.: Activity patterns of Canadian women: Application of ClustalG sequence alignment software. Transportation Research Record: Journal of the Transportation Research Board 1777, 55–67 (2001)
Wilson, C.: Reliability of sequence-alignment analysis of social processes: Monte Carlo tests of ClustalG software. Environment and Planning A 38, 187 (2006)
Abbott, A.: Sequence analysis: New methods for old ideas. Annual Review of Sociology 21 (1995)
Orlikowski, W.J., Scott, S.V.: Chapter 10: Sociomateriality: Challenging the Separation of Technology, Work and Organization. The Academy of Management Annals 2, 433–474 (2008)
Leonardi, P.M., Barley, S.R.: Materiality and Change: Challenges to Building Better Theory about Technology and Organizing. Information and Organization 18, 159–176 (2008)
Gaskin, J., Lyytinen, K., Thummadi, V., Schutz, D., Yoo, Y., Weiss, A., Berente, N.: Sequencing Design DNA: A Set of Methodological Artifacts for Sequencing Socio-Technical Design Routines
Tolvanen, J., Rossi, M.: MetaEdit+: defining and using domain-specific modeling languages and code generators, pp. 92–93 (2003)
Wilson, C., Harvey, A., Thompson, J.: Clustalg: Software for analysis of activities and sequential events. Paper Presented at the Workshop on Sequence Alignment Methods, Halifax (October 2005)
Ginalski, K., Pas, J., Wyrwicz, L.S., Grotthuss, M., Bujnicki, J.M., Rychlewski, L.: ORFeus: detection of distant homology using sequence profiles and predicted secondary structure. Nucleic Acids Research 31, 3804 (2003)
Tamura, K., Dudley, J., Nei, M., Kumar, S.: MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Molecular Biology and Evolution 24, 1596 (2007)
Kumar, S., Tamura, K., Nei, M.: MEGA3: integrated software for molecular evolutionary genetics analysis and sequence alignment. Briefings in Bioinformatics 5, 150 (2004)
Cavalli-Sforza, L.L., Edwards, A.W.F.: Phylogenetic analysis. Models and estimation procedures. American Journal of Human Genetics 19, 233 (1967)
Shadish, W.R., Cook, T.D., Campbell, D.T.: Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2002)
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Choi, Y., Thummadi, B.V., Lyytinen, K., Yoo, Y. (2012). Analyzing Complex Design Processes: The Effects of Task Automation and Integration on Process Structure in Microprocessor Design. In: Helfert, M., Donnellan, B. (eds) Practical Aspects of Design Science. EDSS 2011. Communications in Computer and Information Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33681-2_4
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DOI: https://doi.org/10.1007/978-3-642-33681-2_4
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