Static mapping of multiple data-parallel applications on embedded many-core SoCs

Junya Kaida; Yuko Hara-Azumi; Takuji Hieda; Ittetsu Taniguchi; Hiroyuki Tomiyama; Koji Inoue

doi:10.1587/transinf.E96.D.2268

Static mapping of multiple data-parallel applications on embedded many-core SoCs

Junya Kaida, Yuko Hara-Azumi, Takuji Hieda, Ittetsu Taniguchi, Hiroyuki Tomiyama, Koji Inoue

Department of I&E Visionaries

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper studies the static mapping of multiple applications on embedded many-core SoCs. The mapping techniques proposed in this paper take into account both inter-application and intra-application parallelism in order to fully utilize the potential parallelism of the manycore architecture. Two approaches are proposed for static mapping: one approach is based on integer linear programming and the other is based on a greedy algorithm. Experiments show the effectiveness of the proposed techniques.

Original language	English
Pages (from-to)	2268-2271
Number of pages	4
Journal	IEICE Transactions on Information and Systems
Volume	E96-D
Issue number	10
DOIs	https://doi.org/10.1587/transinf.E96.D.2268
Publication status	Published - Oct 2013

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence

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10.1587/transinf.E96.D.2268

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abstract = "This paper studies the static mapping of multiple applications on embedded many-core SoCs. The mapping techniques proposed in this paper take into account both inter-application and intra-application parallelism in order to fully utilize the potential parallelism of the manycore architecture. Two approaches are proposed for static mapping: one approach is based on integer linear programming and the other is based on a greedy algorithm. Experiments show the effectiveness of the proposed techniques.",

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AU - Tomiyama, Hiroyuki

AU - Inoue, Koji

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AB - This paper studies the static mapping of multiple applications on embedded many-core SoCs. The mapping techniques proposed in this paper take into account both inter-application and intra-application parallelism in order to fully utilize the potential parallelism of the manycore architecture. Two approaches are proposed for static mapping: one approach is based on integer linear programming and the other is based on a greedy algorithm. Experiments show the effectiveness of the proposed techniques.

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Static mapping of multiple data-parallel applications on embedded many-core SoCs

Abstract

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