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JetsonLeap: A Framework to Measure Energy-Aware Code Optimizations in Embedded and Heterogeneous Systems

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Book cover Programming Languages (SBLP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9889))

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Abstract

Energy-aware techniques are becoming a staple feature among compiler analyses and optimizations. However, the programming languages community still does not have access to cheap and precise technology to measure the power dissipated by a given program. This paper describes a solution to this problem. To this end, we introduce JetsonLeap, a framework that enables the design and test of energy-aware code transformations. JetsonLeap consists of an embedded hardware, in our case, the Nvidia Tegra TK1 System on a Chip Device, a circuit to control the flow of energy, of our own design, plus a library to instrument program parts. We can measure reliably the energy spent by 400.000 instructions, about half a millisecond of program execution. Our entire infra-structure – board, power meter and circuit – can be reproduced with about $500.00. To demonstrate the efficacy of our framework, we have used it to measure energy consumption of programs running on ARM cores, on the GPU, and on a remote server. Furthermore, we have studied the impact of OpenACC directives on the energy efficiency of high-performance applications.

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Notes

  1. 1.

    LEAP (Low-Power Energy Aware Processing) is a name borrowed from McIntire [6].

  2. 2.

    http://voron.ua/files/pdf/relay/JQC-3F(T73).pdf.

  3. 3.

    http://elinux.org/Jetson/GPIO.

  4. 4.

    http://www.ni.com/labview/pt/.

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Acknowledgement

This project is sponsored by LG Electronics Brazil. From March 2015 to February 2016, Tarsila Bessa was the recipient of a scholarship sponsored by Intel Semiconductors. Currently, Tarsila is sponsored by the Big-Sea joint cooperation between Brazil and the European Union. Fernando Pereira is supported by FAPEMIG, CNPq and CAPES.

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Authors and Affiliations

  1. UFMG, Avenida Antônio Carlos 6627, Belo Horizonte, Minas Gerais, 31270-010, Brazil

    Tarsila Bessa, Pedro Quintão & Fernando Magno Quintão Pereira

  2. San Jose Lab, LG Mobile Research, 2540 North 1st Str., San Jose, California, 95131, USA

    Michael Frank

Authors
  1. Tarsila Bessa
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  2. Pedro Quintão
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  3. Michael Frank
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  4. Fernando Magno Quintão Pereira
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Correspondence to Fernando Magno Quintão Pereira .

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Editors and Affiliations

  1. Universidade Federal de Pernambuco, Recife, Brazil

    Fernando Castor

  2. State University of New York, Binghamton, New York, USA

    Yu David Liu

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Bessa, T., Quintão, P., Frank, M., Magno Quintão Pereira, F. (2016). JetsonLeap: A Framework to Measure Energy-Aware Code Optimizations in Embedded and Heterogeneous Systems. In: Castor, F., Liu, Y. (eds) Programming Languages. SBLP 2016. Lecture Notes in Computer Science(), vol 9889. Springer, Cham. https://doi.org/10.1007/978-3-319-45279-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-45279-1_2

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