Evaluation of Different ASIP-Configurations for an Embedded Computed Order Tracking Algorithm

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Original languageEnglish
Publication statusPublished - 19 Oct 2021

Abstract

Due to the increasing size and complexity of rotating machines, monitoring of all components becomes more critical. Therefore, this work presents a Design Space Exploration using six different Cadence® Tensilica® Xtensa® Instruction-Set Architectures and evaluates their performance regarding cycle count and power performance. Hence, a hardware-related software optimization of a computed order tracking algorithm is used and examined with a Pareto analysis at the end.

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Evaluation of Different ASIP-Configurations for an Embedded Computed Order Tracking Algorithm. / Karrenbauer, Jens Christian; Rinke, Jonas; Blume, Holger Christoph.
2021.

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title = "Evaluation of Different ASIP-Configurations for an Embedded Computed Order Tracking Algorithm",
abstract = "Due to the increasing size and complexity of rotating machines, monitoring of all components becomes more critical. Therefore, this work presents a Design Space Exploration using six different Cadence{\textregistered} Tensilica{\textregistered} Xtensa{\textregistered} Instruction-Set Architectures and evaluates their performance regarding cycle count and power performance. Hence, a hardware-related software optimization of a computed order tracking algorithm is used and examined with a Pareto analysis at the end.",
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AU - Karrenbauer, Jens Christian

AU - Rinke, Jonas

AU - Blume, Holger Christoph

PY - 2021/10/19

Y1 - 2021/10/19

N2 - Due to the increasing size and complexity of rotating machines, monitoring of all components becomes more critical. Therefore, this work presents a Design Space Exploration using six different Cadence® Tensilica® Xtensa® Instruction-Set Architectures and evaluates their performance regarding cycle count and power performance. Hence, a hardware-related software optimization of a computed order tracking algorithm is used and examined with a Pareto analysis at the end.

AB - Due to the increasing size and complexity of rotating machines, monitoring of all components becomes more critical. Therefore, this work presents a Design Space Exploration using six different Cadence® Tensilica® Xtensa® Instruction-Set Architectures and evaluates their performance regarding cycle count and power performance. Hence, a hardware-related software optimization of a computed order tracking algorithm is used and examined with a Pareto analysis at the end.

UR - https://cadenceliveeurope2021.vfairs.com/

M3 - Slides to presentation

ER -

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