Title :
FT-Matrix: A Coordination-Aware Architecture for Signal Processing
Author :
Shuming Chen ; Yaohua Wang ; Sheng Liu ; Jianghua Wan ; Haiyan Chen ; Hengzhu Liu ; Kai Zhang ; Xiangyuan Liu ; Xi Ning
Author_Institution :
Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Vector-SIMD architectures have gained increasing attention because of their high performance in signal-processing applications. However, the performance of existing vector-SIMD architectures remains limited because of their inefficiency in the coordinated exploitation of different hardware units. To solve this problem, this article proposes the FT-Matrix architecture, which improves the coordination of traditional vector-SIMD architectures from three aspects: the cooperation between the scalar and SIMD unit is refined with the dynamic coupling execution scheme, the communication among SIMD lanes is enhanced with the matrix-style communication, and data sharing among vector memory banks is accomplished by the unaligned vector memory accessing scheme. Evaluation results show an average performance gain of 58.5 percent against vector-SIMD architectures without the proposed improvements. A four-core chip with each core built on the FT-Matrix architecture is also under fabrication.
Keywords :
data communication; matrix algebra; signal processing; FT-MATRIX:; coordination-aware architecture; data sharing; dynamic coupling execution scheme; matrix-style communication; signal processing; vector memory accessing scheme; vector-SIMD architecture; Hardware; Integrated circuits; Memory management; Registers; Signal processing; SIMD unit; SIMDU; SU; coordination; scalar unit; vector-SIMD;
Journal_Title :
Micro, IEEE
DOI :
10.1109/MM.2013.129