Analysis of memory BIST architecture flow

The burgeoning amount and complexity of memories in modern SoC have brought forth new challenges in memory testing. Memory Built-in self-test (BIST) is the most widely used solution for memory testing. MBIST is defined as a method used for insertion of embedded memory controllers inside the chip to...

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Main Author: Sharma, Anmol
Other Authors: Chang Chip Hong
Format: Theses and Dissertations
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76070
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-760702023-07-04T15:39:51Z Analysis of memory BIST architecture flow Sharma, Anmol Chang Chip Hong School of Electrical and Electronic Engineering Technical University of Munich DRNTU::Engineering::Electrical and electronic engineering::Integrated circuits The burgeoning amount and complexity of memories in modern SoC have brought forth new challenges in memory testing. Memory Built-in self-test (BIST) is the most widely used solution for memory testing. MBIST is defined as a method used for insertion of embedded memory controllers inside the chip to make its memories fully testable after manufacturing. This work focusses on implementation of different memory BIST architecture optimization techniques to generate MBIST architectures for given design specifications. These architectures are then compared on the basis of power consumption per memory controller, total cell area and test time required per memory controller. The analysis of these architectures is done to recommend the most optimized MBIST architecture for a given design specification. This work also provides a comprehensive study of two memory built-in self-test flows which are predominantly used in IC design industry to generate MBIST architecture. The two flows used for this purpose are Tessent Memory BIST LV Flow and Tessent Memory BIST Shell Flow. Master of Science (Integrated Circuit Design) 2018-10-22T13:27:18Z 2018-10-22T13:27:18Z 2018 Thesis http://hdl.handle.net/10356/76070 en 116 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Integrated circuits
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Integrated circuits
Sharma, Anmol
Analysis of memory BIST architecture flow
description The burgeoning amount and complexity of memories in modern SoC have brought forth new challenges in memory testing. Memory Built-in self-test (BIST) is the most widely used solution for memory testing. MBIST is defined as a method used for insertion of embedded memory controllers inside the chip to make its memories fully testable after manufacturing. This work focusses on implementation of different memory BIST architecture optimization techniques to generate MBIST architectures for given design specifications. These architectures are then compared on the basis of power consumption per memory controller, total cell area and test time required per memory controller. The analysis of these architectures is done to recommend the most optimized MBIST architecture for a given design specification. This work also provides a comprehensive study of two memory built-in self-test flows which are predominantly used in IC design industry to generate MBIST architecture. The two flows used for this purpose are Tessent Memory BIST LV Flow and Tessent Memory BIST Shell Flow.
author2 Chang Chip Hong
author_facet Chang Chip Hong
Sharma, Anmol
format Theses and Dissertations
author Sharma, Anmol
author_sort Sharma, Anmol
title Analysis of memory BIST architecture flow
title_short Analysis of memory BIST architecture flow
title_full Analysis of memory BIST architecture flow
title_fullStr Analysis of memory BIST architecture flow
title_full_unstemmed Analysis of memory BIST architecture flow
title_sort analysis of memory bist architecture flow
publishDate 2018
url http://hdl.handle.net/10356/76070
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