Task Allocation with Algorithm Transformation for Reducing Data-Transfer Bottlenecks in Heterogeneous Multi-Core Processors : A Case Study of HOG Descriptor Computation

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概要

• 論文の詳細を見る

• Heterogeneous multi-core processors are attracted by the media processing applications due to their capability of drawing strengths of different cores to improve the overall performance. However, the data transfer bottlenecks and limitations in the task allocation due to the accelerator-incompatible operations prevents us from gaining full potential of the heterogeneous multi-core processors. This paper presents a task allocation method based on algorithm transformation to increase the freedom of task allocation. We use approximation methods such as CORDIC algorithms to map the accelerator-incompatible operations to accelerator cores. According to the experimental results using HOG descriptor computation, the proposed task allocation method reduces the data transfer time by more than 82% and the total processing time by more than 79% compared to the conventional task allocation method.

• （社）電子情報通信学会の論文
• 2010-12-01

著者

• Hariyama Masanori

  Graduate School Of Information Sciences Tohoku University

• Hariyama Masanori

  The Department Of Computer And Mathematical Sciences Graduate School Of Information Sciences Tohoku

• Waidyasooriya Hasitha

  Graduate School Of Information Sciences Tohoku University

• Kameyama M

  Graduate School Of Information Sciences Tohoku University

• Kameyama Michitaka

  Graduate School Of Information Science Tohoku University

• Hariyama M

  Graduate School Of Information Sciences Tohoku University

• OKUMURA Daisuke

  Graduate School of Information Sciences, Tohoku University

• Okumura Daisuke

  Graduate School Of Information Sciences Tohoku University

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