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This paper explores hardware specialization of low­ power processors to improve performance and energy efficiency. Our main contribution is an automated framework that analyzes instruction sequences of applications within a domain at the loop body level and identifies exactly and partially-matching sequences across applications that can become custom instructions. Our framework transforms sequences to a new code abstraction, a Merging Diagram, that improves similarity identification, clusters alike groups of potential custom instructions to effectively reduce the search space, and selects merged custom instructions to efficiently exploit the available customizable area. For a set of 11 media applications, our fast framework generates instructions that significantly improve the energy-delay product and speed­ up, achieving more than double the savings as compared to a technique analyzing sequences within basic blocks. This paper shows that partially-matched custom instructions, which do not significantly increase design time, are crucial to achieving higher energy efficiency at limited hardware areas.
Keywords
ALGORITHMS, SET EXTENSIONS

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Please use this url to cite or link to this publication:

Chicago
González-Álvarez, Cecilia, Jennifer Sartor, Carlos Alvarez, Daniel Jimenez-Gonzalez, and Lieven Eeckhout. 2015. “Automatic Design of Domain-specific Instructions for Low-power Processors.” In IEEE International Conference on Application-Specific Systems Architectures and Processors, 1–8. IEEE.
APA
González-Álvarez, C., Sartor, J., Alvarez, C., Jimenez-Gonzalez, D., & Eeckhout, L. (2015). Automatic design of domain-specific instructions for low-power processors. IEEE International Conference on Application-Specific Systems Architectures and Processors (pp. 1–8). Presented at the 26th International Conference on Application-Specific Systems, Architectures and Processors (ASAP), IEEE.
Vancouver
1.
González-Álvarez C, Sartor J, Alvarez C, Jimenez-Gonzalez D, Eeckhout L. Automatic design of domain-specific instructions for low-power processors. IEEE International Conference on Application-Specific Systems Architectures and Processors. IEEE; 2015. p. 1–8.
MLA
González-Álvarez, Cecilia et al. “Automatic Design of Domain-specific Instructions for Low-power Processors.” IEEE International Conference on Application-Specific Systems Architectures and Processors. IEEE, 2015. 1–8. Print.
@inproceedings{6954093,
  abstract     = {This paper explores hardware specialization of low­ power processors to improve performance and energy efficiency. Our main contribution is an automated framework that analyzes instruction sequences of applications within a domain at the loop body level and identifies exactly and partially-matching sequences across applications that can become custom instructions. Our framework transforms sequences to a new code abstraction, a Merging Diagram, that improves similarity identification, clusters alike groups of potential custom instructions to effectively reduce the search space, and selects merged custom instructions to efficiently exploit the available customizable area. For a set of 11 media applications, our fast framework generates instructions that significantly improve the energy-delay product and speed­ up, achieving more than double the savings as compared to a technique analyzing sequences within basic blocks. This paper shows that partially-matched custom instructions, which do not significantly increase design time, are crucial to achieving higher energy efficiency at limited hardware areas.},
  author       = {González-Álvarez, Cecilia and Sartor, Jennifer and Alvarez, Carlos and Jimenez-Gonzalez, Daniel and Eeckhout, Lieven},
  booktitle    = {IEEE International Conference on Application-Specific Systems Architectures and Processors},
  isbn         = {978-1-4799-1925-3},
  issn         = {1063-6862},
  keywords     = {ALGORITHMS,SET EXTENSIONS},
  language     = {eng},
  location     = {Toronto, CANADA},
  pages        = {1--8},
  publisher    = {IEEE},
  title        = {Automatic design of domain-specific instructions for low-power processors},
  year         = {2015},
}

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