Accelerating data mining workloads: current approaches and future challenges in system architecture design-Reference-Cited by-同舟云学术

Accelerating data mining workloads: current approaches and future challenges in system architecture design

Published:2011-01 Issue:1 Volume:1 Page:41-54
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Choudhary Alok N.¹,Honbo Daniel¹,Kumar Prabhat¹,Ozisikyilmaz Berkin¹,Misra Sanchit¹,Memik Gokhan¹

Affiliation:

1. Northwestern University. http://www.eece.northwestern.edu

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.9

Reference24 articles.

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2. Design of a Hardware Accelerator for Density Based Clustering Applications

3. Performance characterization of data mining applications using MineBench;Zambreno J;Proceedings of the International Workshop on Computer Architecture Evaluation using Commercial Workloads,2006

4. OzisikyilmazB NarayananR ZambrenoJ MemikG ChoudharyA.An architectural characterization study of data mining and bioinformatics workloads.Proceedings of IEEE International Symposium on Workload Characterization. San Jose CA: October2006 61–70.

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