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An fpga based architecture for native protocol testing of multi-gbps source-synchronous devices

This thesis presents methods for developing FPGA-based test solutions that solve the challenges of evaluating source-synchronous and protocol-laden systems and devices at multi-gigabit per second signaling rates. These interfaces are becoming more prevalent in emerging designs and are difficult to test using traditional automated test equipment (ATE) and test instrumentation which were designed for testing designs utilizing synchronous and deterministic signaling. The main motivation of this research was to develop solutions that address these challenges. The methods shown in this thesis are used to design a test architecture consisting of custom hardware components, reprogrammable digital logic for hardware integration, and a software interface for external data transport and configuration. The hardware components consist of a multi-GHz field programmable gate array (FPGA) based interface board providing processing, control, and data capabilities to the system and enhanced by one or more application modules which can be tailored for specific test functionality compatible with source-synchronous and protocol interfaces. Software controls from a host computer provide high and low level access to the internal tester data and configuration memory space.
The architecture described in this thesis is demonstrated through a specific test solution for a high-speed optical packet switched network called the Data Vortex. Reprogrammable firmware and software controls allow for a high degree of adaptability and application options. The modularized implementation of the hardware elements introduces additional adaptability and future upgradability, capable of incorporating new materials and design techniques for the test platform and application modules.

Identiferoai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/44858
Date03 July 2012
CreatorsGray, Carl Edward
PublisherGeorgia Institute of Technology
Source SetsGeorgia Tech Electronic Thesis and Dissertation Archive
Detected LanguageEnglish
TypeDissertation

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