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2016 | OriginalPaper | Chapter

5. An Efficient Technological Support for Mind Genomics

Authors : Veljko Milutinovic, Jakob Salom

Published in: Mind Genomics

Publisher: Springer International Publishing

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Abstract

This chapter brings attention to the fact that Mind Genomics creates a number of problems in the domain of BigData Analytics, and that these problems are effectively solvable only with modern DataFlow technology. One such DataFlow technology, coming from the Maxeler Technologies, is briefly overviewed and the interested readers are pointed to more detailed sources on the subject. This technology brings speedups of 20 to 200 or even higher in some cases, while the power consumption is about 20 times smaller; dimensions are also about 20 times smaller. 

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Literature
go back to reference Trifunovic N, Milutinovic V et al (2016) The appgallery for big data supercomputing. J Big Data Trifunovic N, Milutinovic V et al (2016) The appgallery for big data supercomputing. J Big Data
go back to reference Milutinovic V et al (2015) Guide to dataflow supercomputing. Springer Milutinovic V et al (2015) Guide to dataflow supercomputing. Springer
go back to reference Milutinovic V et al (eds) (2015) Advances in computers: dataflow. Elsevier Milutinovic V et al (eds) (2015) Advances in computers: dataflow. Elsevier
go back to reference Trifunovic N, Milutinovic V et al (2015) Paradigm shift in supercomputing: dataflow vs. controlflow. J Big Data Trifunovic N, Milutinovic V et al (2015) Paradigm shift in supercomputing: dataflow vs. controlflow. J Big Data
go back to reference Jovanovic Z, Milutinovic V (2012) FPGA accelerator for floating-point matrix multiplication. The IET Comput Digit Tech 6(4):249–256 Jovanovic Z, Milutinovic V (2012) FPGA accelerator for floating-point matrix multiplication. The IET Comput Digit Tech 6(4):249–256
go back to reference Flynn M, Mencer O, Milutinovic V et al (2013) Moving from petaflops to petadata. Commun ACM Flynn M, Mencer O, Milutinovic V et al (2013) Moving from petaflops to petadata. Commun ACM
Metadata
Title
An Efficient Technological Support for Mind Genomics
Authors
Veljko Milutinovic
Jakob Salom
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-39733-7_5