By Glenford J. Myers
A totally up-to-date version of this evaluate of contemporary computing device structure. Examines possible choices to classical low-level von Neumann computing device structure, discussing the issues of classical structure and new options to those difficulties. Illustrates new innovations via in-depth case stories of the Intel APX 432, IBM's SWARD, and different machines. cutting-edge innovations lined comprise tagged garage, capability-based addressing, technique administration, safety domain names, and blunder detection
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Extra info for Advances in computer architecture
Aided Des. Integr. Circuits Syst. Syrzycki, A tool for automated analog CMOS layout module generation and placement. IEEE Can. Conf. Elect. Comput. Eng. 1, 416–421 (2002) 9. Smith, Introduction to Evolutionary Computing (Springer, Berlin, 2003) 10. Shahookar, Macro-cell and module placement by genetic adaptive search with bitmap-represented chromosome. Integr. 12(1), 49–77 (1991) 11. Vornberger, Hybrid genetic algorithms for constrained placement problems. IEEE Trans. Evol. Comput. 1(4), 266–277 (1997) 12.
The solution space is greatly reduced as only feasible regions (admissible placements) of the solution space are explored. However, depending on the topological representation used, the optimal solution can be left out of the search space. Furthermore, since the optimization kernel only changes the relative positioning, symmetry-feasible conditions by means of structure scan or post-processing in order to penalize, avoid or fix the symmetries violated each time the typically SA-based kernel perturbs the structure must be derived for each representation.
In these automatic approaches only results for single-net problem solving are presented, which focus on the WT generation, and the applicability to obtain design rulecorrect routings for the set of conflicting nets of real analog IC design cases remains to be proved [65–71]. In the traditional automatic approaches for design rule-correct layouts [4, 7, 8, 51, 52, 62–64, 78], besides the traditional deterministic and error-prone implementations, the exact location of the single-port terminals may be either defined in the generation/import of the modules, selected manually or by pin assignment problem solving, which lead to higher setup times and/or sub-optimal solutions.