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SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA
2015
2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines
This paper proposes SSketch, a novel automated computing framework for FPGA-based online analysis of big data with dense (non-sparse) correlation matrices. SSketch targets streaming applications where each data sample can be processed only once and storage is severely limited. The stream of input data is used by SSketch for adaptive learning and updating a corresponding ensemble of lower dimensional data structures, a.k.a., a sketch matrix. A new sketching methodology is introduced that tailors
doi:10.1109/fccm.2015.56
dblp:conf/fccm/RouhaniSMK15
fatcat:n3jjxkpwbzgvvboez4ywtgik54