Year of Publication

2010

Degree Name

Master of Science in Electrical Engineering (MSEE)

Document Type

Thesis

College

Engineering

Department

Electrical Engineering

First Advisor

Dr. Henry G. Dietz

Abstract

As code complexity increases, maxlive increases. This is especially true in the case of the Kentucky If-Then-Else architecture proposed for Nanocontrollers. To achieve low circuit complexity, computations are decomposed to bit-level operations, thus generating large blocks of code with complex dependence structures. Additionally, the Nanocontroller architecture allows for only a small number of single bit registers and no extra memory.

The assumption of an infinite number of registers made during code generation becomes a huge problem during register allocation because the small number of registers and no additional memory. The large basic blocks mean that maxlive almost always exceeds the number of registers and the traditional methods of register allocation such as instruction re-ordering and register spill/reload cannot be applied trivially. This thesis deals with finding a solution to reduce maxlive for successful register allocation using Genetic Algorithms.

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