Title of article :
An Integrated Temporal Partitioning and Mapping Framework for Improving Performance of a Reconfigurable Instruction Set Processor
Author/Authors :
مهدي پور، فرهاد نويسنده , , نوري، حميد نويسنده دانشگاه اصفهان Nory, H , صاحب زماني، مرتضي نويسنده IT and Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran Saheb Zamani, Morteza , Honda، Hiroaki نويسنده Institute of Systems, Information Technologies and Nanotechnologies, Fukuoka, Japan Honda, Hiroaki , Inoue، Inoue نويسنده Faculty of Information Science and Electrical Engineering, Department of Informatics, Kyushu University, Fukuoka, Japan Inoue, Koji , Murakami، Kazuaki نويسنده Faculty of Information Science and Electrical Engineering, Department of Informatics, Kyushu University, Fukuoka, Japan Murakami, Kazuaki
Issue Information :
دوفصلنامه با شماره پیاپی 0 سال 2010
Pages :
11
From page :
1
To page :
11
Abstract :
Reconfigurable instruction set processors allow customization for an application domain by extending the core instruction set architecture. Extracting appropriate custom instructions is an important phase for implementing an application on a reconfigurable instruction set processor. A custom instruction (CI) is usually extracted from critical portions of applications and implemented on a reconfigurable functional unit. In this paper, our proposed RFU architecture for a reconfigurable instruction set processor is introduced. As the main contribution of this work, an integrated framework of temporal partitioning and mapping is introduced that partitions and maps CIs on the RFU. Temporal partitioning iterates and modifies partitions incrementally to generate CIs. The proposed framework improves the timing performance particularly for the applications comprising a considerable amount of CIs that could not be implemented on the RFU due to architectural limitations. Furthermore, exploiting similarity detection and merging as two complementary techniques for the integrated framework brings about reduction in the configuration memory size.
Journal title :
Journal of Computer and Robotics
Serial Year :
2010
Journal title :
Journal of Computer and Robotics
Record number :
1826603
Link To Document :
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