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Digital systems are increasingly pervading in the everyday lives of humans. The security of these systems is a concern due to the sensitive data stored in them. The physically unclonable function (PUF) implemented on hardware provides a way to protect

Digital systems are increasingly pervading in the everyday lives of humans. The security of these systems is a concern due to the sensitive data stored in them. The physically unclonable function (PUF) implemented on hardware provides a way to protect these systems. Static random-access memories (SRAMs) are designed and used as a strong PUF to generate random numbers unique to the manufactured integrated circuit (IC).

Digital systems are important to the technological improvements in space exploration. Space exploration requires radiation hardened microprocessors which minimize the functional disruptions in the presence of radiation. The design highly efficient radiation-hardened microprocessor for enabling spacecraft (HERMES) is a radiation-hardened microprocessor with performance comparable to the commercially available designs. These designs are manufactured using a foundry complementary metal-oxide semiconductor (CMOS) 55-nm triple-well process. This thesis presents the post silicon validation results of the HERMES and the PUF mode of SRAM across process corners.

Chapter 1 gives an overview of the blocks implemented on the test chip 25. It also talks about the pre-silicon functional verification methodology used for the test chip. Chapter 2 discusses about the post silicon testing setup of test chip 25 and the validation of the setup. Chapter 3 describes the architecture and the test bench of the HERMES along with its testing results. Chapter 4 discusses the test bench and the perl scripts used to test the SRAM along with its testing results. Chapter 5 gives a summary of the post-silicon validation results of the HERMES and the PUF mode of SRAM.
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    Title
    • Post-silicon Validation of Radiation Hardened Microprocessor and SRAM arrays
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    Date Created
    2017
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  • Text
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    • Masters Thesis Electrical Engineering 2017

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