David I. August
Professor in the Department of Computer Science, Princeton University
Affiliated with the Department of Electrical Engineering, Princeton University
Ph.D. May 2000, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

Office: Computer Science Building Room 221
Email: august@princeton.edu
Phone: (609) 258-2085
Fax: (609) 964-1699
Administrative Assistant: Pamela DelOrefice, (609) 258-5551

Front Page Publication List (with stats) Curriculum Vitae (PDF) The Liberty Research Group


Design Tools for Application Specific Embedded Processors [abstract] (SpringerLink, PDF)
Wei Qin, Subramanian Rajagopalan, Manish Vachharajani, Hangsheng Wang, Xinping Zhu, David I. August, Kurt Keutzer, Sharad Malik, and Li-Shiuan Peh
Proceedings of the Second International Workshop on Embedded Software, Lecture Notes in Computer Science (EMSOFT), Volume 2491, October 2002. Invited.

A variety of factors make it increasingly difficult and expensive to design and manufacture traditional Application Specific Integrated Circuits (ASICs). Consequently, programmable alternatives are more attractive than ever. The flexibility provided by programmability comes with a performance and power overhead. This can be significantly mitigated by using application specific platforms, also referred to as Application Specific Embedded Processors, or Application Specific Instruction Set Processors (ASIPs). ASIPs and the embedded software applications running on them, require specialized design tools - both during architectural evaluation to provide feedback on the suitability of the architecture for the application; as well as during system implementation to ensure efficient mapping and validation of design constraints. These functions result in requirements different from those of traditional software development environments. The first requirement is retargetability, especially during the early architectural evaluation stage where a rapid examination of design alternatives is essential. The second requirement is for additional metrics such as power consumption, real-time constraints and code size. This paper describes a set of design tools and associated methodology designed to meet the challenges posed by architectural evaluation and software synthesis. This work is part of the MESCAL (Modern Embedded Systems, Compilers, Architectures, and Languages) project.