An Area-Effective Datapath Architecture for Embedded Microprocessors and Scalable Systems
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- INOUE Toshiaki
- Silicon System Research Laboratories, System Devices and Fundamental Research, NEC Corpration
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- MANABE Takashi
- Production Technology Laboratories, Prototype Engineering Center, NEC Corpration
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- TORII Sunao
- Silicon System Research Laboratories, System Devices and Fundamental Research, NEC Corpration
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- MATSUSHITA Satoshi
- Silicon System Research Laboratories, System Devices and Fundamental Research, NEC Corpration
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- EDAHIRO Masato
- Silicon System Research Laboratories, System Devices and Fundamental Research, NEC Corpration
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- NISHI Naoki
- Silicon System Research Laboratories, System Devices and Fundamental Research, NEC Corpration
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- MAYASINA Masakazu
- Silicon System Research Laboratories, System Devices and Fundamental Research, NEC Corpration
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Abstract
We have proposed area-reduction techniques for superscalar datapath architectures with 34 SIMD instructions and have developed an integer-media unit based on these techniques. The unit's design is both functionally asymmetrical and integer-SIMD unified, and the resulting savings in area are 27%-48% as compared to other, functionally equivalent mid-level microprocessor designs, with performance that is, at most, only 7.2% lower. Further, in 2-D IDCT processing, the unit outperforms embedded microprocessor designs without SIMD functions by 49%-118%. Specifically, effective area reduction of adders, shifters, and multiply-and-adders has been achieved by using the unified design. These area-effective techniques are useful for embedded microprocessors and scalable systems that employ highly parallel superscalar and on-chip parallel architectures. The integer-media unit has been implemented in an evaluation chip fabricated with 0.15-μm 5-metal CMOS technology.
Journal
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- IEICE transactions on electronics
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IEICE transactions on electronics 84 (8), 1014-1020, 2001-08-01
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1573387452279451648
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- NII Article ID
- 110003212269
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- NII Book ID
- AA10826283
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- ISSN
- 09168524
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- Text Lang
- en
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- Data Source
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- CiNii Articles