DocumentCode
1631126
Title
A new approach to constructing optimal prefix circuits with small depth
Author
Lin, Yen-Chun ; Hsiao, Jun-Wei
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
86
Lastpage
91
Abstract
Prefix computation has many applications, and should be implemented as a primitive operation. Many combinational circuits for performing the prefix operation in parallel, called parallel prefix circuits, have been designed and studied. The size of a prefix circuit D, s(D), is the number of operation nodes in D, and the depth of D, d(D), is the maximum level of operation nodes in D. Smaller depth implies faster computation, while smaller size implies less power consumption and smaller area in VLSI implementation and thus less cost. D is depth-size optimal if d(D)+s(D)=2n-2. Another circuit parameter is fan-out. A circuit having a smaller fan-out is faster and smaller in VLSI implementation. Thus, a circuit should have a small fan-out for it to be of practical use. In this paper, we take a new approach to designing a depth-size optimal parallel prefix circuit, WE4, with fan-out 4 and small depth. In many cases of n, WE4 has the smallest depth among all known prefix circuits
Keywords
VLSI; combinational circuits; digital arithmetic; parallel algorithms; VLSI; combinational circuits; depth-size optimal parallel prefix circuit; fan-out; operation nodes; power consumption; prefix computation; primitive operation; small depth; Combinational circuits; Computer applications; Computer science; Concurrent computing; Costs; Energy consumption; Parallel architectures; Processor scheduling; Sorting; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Architectures, Algorithms and Networks, 2002. I-SPAN '02. Proceedings. International Symposium on
Conference_Location
Makati City, Metro Manila
ISSN
1087-4089
Print_ISBN
0-7695-1579-7
Type
conf
DOI
10.1109/ISPAN.2002.1004267
Filename
1004267
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