Automatic identification of customized instruction based on multiple attribute decision-making for multi-issue architectures
Honghe Tan, Yihe Sun · Tsinghua Science & Technology · 2011
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.