Test Resource Partitioning for System-on-a-Chip: 20 (Frontiers in Electronic Testing) - Softcover

Iyengar, Vikram; Chandra, Anshuman

Softcover

ISBN 10: 1461354005 ISBN 13: 9781461354000

Verlag: Springer, 2012

Inhaltsangabe

Test Resource Partitioning for System-on-a-Chip is about test resource partitioning and optimization techniques for plug-and-play system-on-a-chip (SOC) test automation. Plug-and-play refers to the paradigm in which core-to-core interfaces as well as core-to-SOC logic interfaces are standardized, such that cores can be easily plugged into "virtual sockets" on the SOC design, and core tests can be plugged into the SOC during test without substantial effort on the part of the system integrator. The goal of the book is to position test resource partitioning in the context of SOC test automation, as well as to generate interest and motivate research on this important topic.

SOC integrated circuits composed of embedded cores are now commonplace. Nevertheless, There remain several roadblocks to rapid and efficient system integration. Test development is seen as a major bottleneck in SOC design, and test challenges are a major contributor to the widening gap between design capability and manufacturing capacity. Testing SOCs is especially challenging in the absence of standardized test structures, test automation tools, and test protocols.

Test Resource Partitioning for System-on-a-Chip responds to a pressing need for a structured methodology for SOC test automation. It presents new techniques for the partitioning and optimization of the three major SOC test resources: test hardware, testing time and test data volume.

Test Resource Partitioning for System-on-a-Chip paves the way for a powerful integrated framework to automate the test flow for a large number of cores in an SOC in a plug-and-play fashion. The framework presented allows the system integrator to reduce test cost and meet short time-to-market requirements.

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Reseña del editor

Test Resource Partitioning for System-on-a-Chip is about test resource partitioning and optimization techniques for plug-and-play system-on-a-chip (SOC) test automation. Plug-and-play refers to the paradigm in which core-to-core interfaces as well as core-to-SOC logic interfaces are standardized, such that cores can be easily plugged into "virtual sockets" on the SOC design, and core tests can be plugged into the SOC during test without substantial effort on the part of the system integrator. The goal of the book is to position test resource partitioning in the context of SOC test automation, as well as to generate interest and motivate research on this important topic.

SOC integrated circuits composed of embedded cores are now commonplace. Nevertheless, There remain several roadblocks to rapid and efficient system integration. Test development is seen as a major bottleneck in SOC design, and test challenges are a major contributor to the widening gap between design capability and manufacturing capacity. Testing SOCs is especially challenging in the absence of standardized test structures, test automation tools, and test protocols.

Test Resource Partitioning for System-on-a-Chip responds to a pressing need for a structured methodology for SOC test automation. It presents new techniques for the partitioning and optimization of the three major SOC test resources: test hardware, testing time and test data volume.

Test Resource Partitioning for System-on-a-Chip paves the way for a powerful integrated framework to automate the test flow for a large number of cores in an SOC in a plug-and-play fashion. The framework presented allows the system integrator to reduce test cost and meet short time-to-market requirements.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 1461354005
• ISBN 13: 9781461354000
• Einband: Tapa blanda
• Anzahl der Seiten: 248
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Deutschland