DocumentCode
3072781
Title
Clustering, restorability and designing of embedded computer systems based on neuroprocessors
Author
Ruchkin, Vladimir ; Romanchuk, Vitaly ; Sulitsa, Roman
Author_Institution
Ryazan State Univ., Ryazan, Russia
fYear
2013
fDate
15-20 June 2013
Firstpage
58
Lastpage
61
Abstract
The article is devoted to the possibilities of improving the recoverability of cluster neuroprocessor systems of pipeline, vector, pipeline-vector or vector-pipeline processing data structures on the base of modern Russian microset NM 640X. The work was performed as a part of the RFBR grant No12-07-97516/12.
Keywords
biocomputing; data structures; embedded systems; pipeline processing; RFBR grant; Russian microset NM 640X; cluster neuroprocessor systems; embedded computer systems; pipeline-vector processing data structures; Gold; Redundancy; clustering; equivalence classes; neuroprocessor systems; probability of reliable performance; recoverability; reflexivity; reliability; set-theoretic model; transitivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Computing (MECO), 2013 2nd Mediterranean Conference on
Conference_Location
Budva
ISSN
1800-993X
Type
conf
DOI
10.1109/MECO.2013.6601318
Filename
6601318
Link To Document