DocumentCode
2199582
Title
A Novel Approach for Finding Candidate Locations for Online FPGA Placement
Author
Hu, W. ; Wang, C. ; Ma, J.L. ; Chen, T.Z. ; Chen, D.
Author_Institution
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
fYear
2010
fDate
June 29 2010-July 1 2010
Firstpage
2509
Lastpage
2515
Abstract
Reconfigurable computing (RC) has been viewed as an efficient solution to achieve high performance and flexibility. Hardware tasks can be dynamically placed on and removed from reconfigurable platforms. Field-programmable gate arrays (FPGA) provide partially runtime reconfiguration (PRTR) at runtime. However, this reconfiguration will lead to more time overhead. An efficient algorithm to manage empty space is necessary for online task placement on a PRTR FPGA. This paper first proposes a data structure to maintain information about the available free area and then presents a novel approach to find candidate locations for online FPGA placement. Experimental results show that the approach proposed here is better than similar approaches to find locations for task placement.
Keywords
field programmable gate arrays; reconfigurable architectures; data structure; field-programmable gate arrays; online FPGA placement; partially runtime reconfiguration; reconfigurable computing; Algorithm design and analysis; Arrays; Field programmable gate arrays; Hardware; Heuristic algorithms; Runtime; FPGA; dynamic placement; partially runtime reconfigurable; reconfigurable computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location
Bradford
Print_ISBN
978-1-4244-7547-6
Type
conf
DOI
10.1109/CIT.2010.428
Filename
5578274
Link To Document