Automatic Identification of Customized Instruction Based on Multiple Attribute Decision-Making for Multi-Issue Architectures
This paper illustrates the importance of the configuration of function units and the change of an application’s critical path when using instruction set extension (ISE) with multi-issue architectures. This paper also presents an automatic identification approach for customized instruction without in...
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Published in | Tsinghua science and technology Vol. 16; no. 3; pp. 278 - 284 |
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Main Author | |
Format | Journal Article |
Language | English Chinese |
Published |
Elsevier Ltd
01.06.2011
Tsinghua National Laboratory of Information and Technology, Institute of Microelectronics, Tsinghua University, Beijing 100084, China |
Subjects | |
Online Access | Get full text |
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Summary: | This paper illustrates the importance of the configuration of function units and the change of an application’s critical path when using instruction set extension (ISE) with multi-issue architectures. This paper also presents an automatic identification approach for customized instruction without input/output number constraints for multi-issue architectures. The approach identifies customized instructions using multiple attribute decision-making based on the analysis of several attributes for each candidate node. Tests indicate that the approach achieves higher speedup ratios than previous approaches, as well as less area cost. In addition, this approach provides designers with multiple candidate designs. |
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Bibliography: | 11-3745/N instruction set extension (ISE); multi-issue architecture; customized instruction (CI) This paper illustrates the importance of the configuration of function units and the change of an application’s critical path when using instruction set extension (ISE) with multi-issue architectures. This paper also presents an automatic identification approach for customized instruction without input/output number constraints for multi-issue architectures. The approach identifies customized instructions using multiple attribute decision-making based on the analysis of several attributes for each candidate node. Tests indicate that the approach achieves higher speedup ratios than previous approaches, as well as less area cost. In addition, this approach provides designers with multiple candidate designs. TAN Honghe , SUN Yihe Tsinghua National Laboratory of Information and Technology, Institute of Microelectronics, Tsinghua University, Beijing 100084, China ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1007-0214 1878-7606 1007-0214 |
DOI: | 10.1016/S1007-0214(11)70040-2 |