Presentation	2013-11-29 A Study on an Optimal Architecture for Stream Mining Applications with FPGA Sayaka AKIOKA,
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Abstract(in English)	Large-scale stream mining applications are characteristic for their data access patterns, a multitude of conditional branches, levels of parallelism, directions of parallelism, and length of critical paths. These distinctions of large-scale stream mining applications differentiate the strategy of speed-ups, and scale-outs from the strategies built for data intensive applications in high performance computing community. This paper discusses optimal computer architectures targeting for large-scale stream mining applications based on their characteristics, including effective use of FPGAs.
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Keyword(in English)	Stream Mining / FPGA / Optimization / Pipelining / Top-K
Paper #	CPSY2013-67
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Committee	CPSY
Conference Date	2013/11/20(1days)
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Paper Information
Registration To	Computer Systems (CPSY)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	A Study on an Optimal Architecture for Stream Mining Applications with FPGA
Sub Title (in English)
Keyword(1)	Stream Mining
Keyword(2)	FPGA
Keyword(3)	Optimization
Keyword(4)	Pipelining
Keyword(5)	Top-K
1st Author's Name	Sayaka AKIOKA
1st Author's Affiliation	School of Interdisciplinary Mathematical Sciences, Meiji University()
Date	2013-11-29
Paper #	CPSY2013-67
Volume (vol)	vol.113
Number (no)	324
Page	pp.pp.-
#Pages	6
Date of Issue