From Book News, Inc.
Responding to what they see as a pressing need for a structured methodology for system-on-a-chip (SOC) text automation, Chakrabarty, Vikram Iyengar, and Anshuman Chandra (all electrical and computer engineering, Duke U.) describe test resource partitioning and optimization techniques for systems using the plug-and-play paradigm. They address the design of dedicated system-level TAMs for SOCs, test scheduling, and test data compression. Various findings from their ongoing research project have been published as papers in journals and conference proceedings, but are compiled here for the first time.Book News, Inc.®, Portland, OR

Book Description
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.

Book Info
About test resource partitioning and of techniques for plug and play system on a chip (SOC) test automation.

SYNOPSIS

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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