DocumentCode
3091549
Title
Matrix Odd-Even Partition: A High Power-Efficient Solution to the Small Grain Data Shuffle
Author
Liu, Sheng ; Chen, Shuming ; Wan, Jianghua ; Chen, HaiYan ; Wang, Yaohua
Author_Institution
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
fYear
2011
fDate
28-30 July 2011
Firstpage
348
Lastpage
354
Abstract
The shuffle operation is one of the bottlenecks invector DSPs. The partitioning problem of the shuffle matrix will have a great effect on the design of the shuffle unit, when dealing with the small grain data shuffle using a smaller-sized crossbar. The traditional matrix block partitioning solution will bring much chip area, power consumption and critical path delay. This paper presents a new matrix partitioning solution: the odd-even partition, which has advantages in dealing with the data going into or out of the shuffle network. It can simplify the hardware design and improve the power efficacy of the shuffle unit in vector DSPs, compared with the matrix block partitioning solution. The principles and theorems of the odd-even partition are explained and proofed. The shuffle unit based on the odd-even partition is implemented. Some contrastive experimental results show that the odd-even partitioning solution can decrease the critical path delay by 12.2%~21.6%, reduce the hardware area by 20.9%~40.8% and cut down the power consumption by 23.5%~56.8%, compared with the matrix block partitioning solution.
Keywords
digital signal processing chips; matrix algebra; power aware computing; DSP; critical path delay; hardware design; matrix block partitioning solution; matrix odd even partition; power consumption; power efficacy; power efficient solution; shuffle matrix; shuffle network; shuffle operation; small grain data shuffle; Decision support systems; Delay; Digital signal processing; Hardware; Indexes; Power demand; Registers;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Architecture and Storage (NAS), 2011 6th IEEE International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-4577-1172-5
Electronic_ISBN
978-0-7695-4509-7
Type
conf
DOI
10.1109/NAS.2011.29
Filename
6005459
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