Exploring architectural heterogeneity in intelligent vision systems

Nanchini Chandramoorthy; Giuseppe Tagliavini; Kevin Irick; Antonio Pullini; Siddharth Advani; Sulaiman Al Habsi; Matthew Cotter; John Sampson; Vijaykrishnan Narayanan; Luca Benini

doi:10.1109/HPCA.2015.7056017

Exploring architectural heterogeneity in intelligent vision systems

Nanchini Chandramoorthy, Giuseppe Tagliavini, Kevin Irick, Antonio Pullini, Siddharth Advani, Sulaiman Al Habsi, Matthew Cotter, John Sampson, Vijaykrishnan Narayanan, Luca Benini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Scopus citations

Abstract

Limited power budgets and the need for high performance computing have led to platform customization with a number of accelerators integrated with CMPs. In order to study customized architectures, we model four customization design points and compare their performance and energy across a number of computer vision workloads. We analyze the limitations of generic architectures and quantify the costs of increasing customization using these micro-architectural design points. This analysis leads us to develop a framework consisting of low-power multi-cores and an array of configurable micro-accelerator functional units. Using this platform, we illustrate dataflow and control processing optimizations that provide for performance gains similar to custom ASICs for a wide range of vision benchmarks.

Original language	English (US)
Title of host publication	2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-12
Number of pages	12
ISBN (Electronic)	9781479989300
DOIs	https://doi.org/10.1109/HPCA.2015.7056017
State	Published - Mar 6 2015
Event	2015 21st IEEE International Symposium on High Performance Computer Architecture, HPCA 2015 - Burlingame, United States Duration: Feb 7 2015 → Feb 11 2015

Publication series

Name	2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015

Other

Other	2015 21st IEEE International Symposium on High Performance Computer Architecture, HPCA 2015
Country/Territory	United States
City	Burlingame
Period	2/7/15 → 2/11/15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Software

Access to Document

10.1109/HPCA.2015.7056017

Cite this

Chandramoorthy, N., Tagliavini, G., Irick, K., Pullini, A., Advani, S., Habsi, S. A., Cotter, M., Sampson, J., Narayanan, V., & Benini, L. (2015). Exploring architectural heterogeneity in intelligent vision systems. In 2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015 (pp. 1-12). Article 7056017 (2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPCA.2015.7056017

Chandramoorthy, Nanchini ; Tagliavini, Giuseppe ; Irick, Kevin et al. / Exploring architectural heterogeneity in intelligent vision systems. 2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1-12 (2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015).

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title = "Exploring architectural heterogeneity in intelligent vision systems",

abstract = "Limited power budgets and the need for high performance computing have led to platform customization with a number of accelerators integrated with CMPs. In order to study customized architectures, we model four customization design points and compare their performance and energy across a number of computer vision workloads. We analyze the limitations of generic architectures and quantify the costs of increasing customization using these micro-architectural design points. This analysis leads us to develop a framework consisting of low-power multi-cores and an array of configurable micro-accelerator functional units. Using this platform, we illustrate dataflow and control processing optimizations that provide for performance gains similar to custom ASICs for a wide range of vision benchmarks.",

author = "Nanchini Chandramoorthy and Giuseppe Tagliavini and Kevin Irick and Antonio Pullini and Siddharth Advani and Habsi, {Sulaiman Al} and Matthew Cotter and John Sampson and Vijaykrishnan Narayanan and Luca Benini",

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Chandramoorthy, N, Tagliavini, G, Irick, K, Pullini, A, Advani, S, Habsi, SA, Cotter, M, Sampson, J , Narayanan, V & Benini, L 2015, Exploring architectural heterogeneity in intelligent vision systems. in 2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015., 7056017, 2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1-12, 2015 21st IEEE International Symposium on High Performance Computer Architecture, HPCA 2015, Burlingame, United States, 2/7/15. https://doi.org/10.1109/HPCA.2015.7056017

Exploring architectural heterogeneity in intelligent vision systems. / Chandramoorthy, Nanchini; Tagliavini, Giuseppe; Irick, Kevin et al.
2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1-12 7056017 (2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Chandramoorthy N, Tagliavini G, Irick K, Pullini A, Advani S, Habsi SA et al. Exploring architectural heterogeneity in intelligent vision systems. In 2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1-12. 7056017. (2015 IEEE 21st International Symposium on High Performance Computer Architecture, HPCA 2015). doi: 10.1109/HPCA.2015.7056017

Exploring architectural heterogeneity in intelligent vision systems

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