Synthesis Techniques and Optimizations for Reconfigurable Systems

Synthesis Techniques and Optimization for Reconfigurable Systems discusses methods used to model reconfigurable applications at the system level, many of which could be incorporated directly into modern compilers. The book also discusses a framework for reconfigurable system synthesis, which bridges the gap between application-level compiler analysis and high-level device synthesis. The development of this framework (discussed in Chapter 5), and the creation of application analysis which further optimize its output (discussed in Chapters 7, 8, and 9), represent over four years of rigorous investigation within UCLA's Embedded and Reconfigurable Laboratory (ERLab) and UCSB's Extensible, Programmable and Reconfigirable Embedded SystemS (ExPRESS) Group. The research of these systems has not yet matured, and we continually strive to develop data and methods, which will extend the collective understanding of reconfigurable system synthesis.

• Hardware
• development
• embedded systems
• logic
• model

• Dept. Electrical & Computer Engineering, University of California, Santa Barbara College of Engineering, Santa Barbara, USA

  Ryan Kastner

• University of California Los Angeles Dept. Computer Science, Los Angeles, USA

  Adam Kaplan

• University of California at Berkeley Dept. of Computer Science, Berkeley, USA

  Majid Sarrafzadeh

Majid Sarrafzadeh is the Director of the Embedded and Reconfigurable Systems Laboratory and a Professor in the Computer Science Department at UCLA.

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