DocumentCode
2817136
Title
An ultra-fast parallel architecture using sequential circuits computing on random bits
Author
Daran Cai ; Ang Wang ; Ge Song ; Weikang Qian
Author_Institution
Univ. of Michigan-Shanghai Jiao Tong Univ. Joint Inst., Shanghai, China
fYear
2013
fDate
19-23 May 2013
Firstpage
2215
Lastpage
2218
Abstract
Digital computation on stochastic bit streams is a non-conventional type of computation, which uses digital circuits to process probabilistic inputs. In this paradigm, digital circuits compute on the probability values. This leads to extremely simple digital implementations for complex arithmetic operations. The combinational logic-based designs can be implemented in parallel to realize fast computation by trading off silicon area with delay. However, it is impossible to implement the current sequential logic-based designs in parallel to reduce delay, since they need to compute for a large number of clock cycles to obtain the result. In this work, we propose a novel design methodology for synthesizing sequential circuits that compute on stochastic bit streams, which does not require a long computation delay. We further demonstrate a parallel implementation based on our design, which provides ultra-fast arithmetic computation.
Keywords
combinational circuits; delays; digital arithmetic; elemental semiconductors; logic design; parallel architectures; probability; sequential circuits; silicon; Si; clock cycles; combinational logic-based designs; complex arithmetic operations; computation delay; digital circuits; digital computation; probabilistic input process; random bits; sequential circuit computing; sequential circuit synthesis; sequential logic-based designs; stochastic bit streams; ultra-fast arithmetic computation; ultra-fast parallel architecture; Approximation error; Clocks; Delays; Polynomials; Radiation detectors; Sequential circuits; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location
Beijing
ISSN
0271-4302
Print_ISBN
978-1-4673-5760-9
Type
conf
DOI
10.1109/ISCAS.2013.6572316
Filename
6572316
Link To Document