Choose-your-own adventure : a lightweight, high-performance approach to defect and variation mitigation in reconfigurable logic / Raphael Yoram Rubin.

Format:

Book

Manuscript

Thesis/Dissertation

Author/Creator:

Rubin, Raphael Yoram, author.

Contributor:

DeHon, André M., degree supervisor.

Devietti, Joseph, degree committee member.

Loo, Boon Thau, degree committee member.

Smith, Jonathan M., degree committee member.

Trimberger, Stephen, 1955- degree committee member.

University of Pennsylvania. Department of Computer and Information Science, degree granting institution.

Language:

English

Subjects (All):

Penn dissertations--Computer and information science.

Computer and information science--Penn dissertations.

Local Subjects:

Penn dissertations--Computer and information science.

Computer and information science--Penn dissertations.

Physical Description:

xvii, 215 leaves : illustrations ; 29 cm

Production:

[Philadelphia, Pennsylvania] : University of Pennsylvania, 2018.

Summary:

For field-programmable gate arrays (FPGAs), fine-grained pre-computed alternative configurations, combined with simple test-based selection, produce limited per-chip specialization to counter yield loss, increased delay, and increased energy costs that come from fabrication defects and variation. This lightweight approach achieves much of the benefit of knowledge-based full specialization while reducing to practical, palatable levels the computational, testing, and load-time costs that obstruct the application of the knowledge-based approach. In practice this may more than double the power-limited computational capabilities of dies fabricated with 22nm technologies.Contributions of this work: * Choose-Your-own-Adventure (CYA), a novel, lightweight, scalable methodology to achieve defect and variation mitigation. * Implementation of CYA, including preparatory components (generation of diverse alternative paths) and FPGA load-time components. * Detailed performance characterization of CYA. a.) Comparison to conventional loading and dynamic frequency and voltage scaling (DFVS) b.) Limit studies to characterize the quality of the CYA implementation and identify potential areas for further optimization.

Notes:

Ph. D. University of Pennsylvania 2018.

Department: Computer and Information Science.

Supervisor: André M. DeHon.

Includes bibliographical references.

OCLC:

1334676046