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 Grigorios Chrysos

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Average citations per article0.60
Citation Count6
Publication count10
Publication years2006-2013
Available for download2
Average downloads per article416.00
Downloads (cumulative)832
Downloads (12 Months)92
Downloads (6 Weeks)8
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January 2013 ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers: Volume 9 Issue 4, January 2013
Publisher: ACM
Citation Count: 3
Downloads (6 Weeks): 8,   Downloads (12 Months): 88,   Downloads (Overall): 773

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Data mining is a new field of computer science with a wide range of applications. Its goal is to extract knowledge from massive datasets in a human-understandable structure, for example, the decision trees. In this article we present an innovative, high-performance, system-level architecture for the Classification And Regression Tree (CART) ...
Keywords: R project, WEKA platform, classification and regression tree (CART), Decision tree classification (DTC), HW architecture, reconfigurable system, high-performance computing, rpart library

November 2012 BIBE '12: Proceedings of the 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)
Publisher: IEEE Computer Society
Citation Count: 0

This paper presents an in-depth look of how FPGA computing can offer substantial speedups in the execution of bioinformatics algorithms, with specific results achieved to date for a broad range of algorithms. Examples and case studies are presented for sequence comparison (BLAST, CAST), multiple sequence alignment (MAFFT, T-Coffee), RNA and ...
Keywords: Field programmable gate arrays,Software algorithms,Computer architecture,Bioinformatics,Software,Prediction algorithms,Algorithm design and analysis,high performance,Bioinformatics algorithms,FPGA based systems

May 2012 Microprocessors & Microsystems: Volume 36 Issue 3, May, 2012
Publisher: Elsevier Science Publishers B. V.
Citation Count: 0

Image segmentation is one of the first important and difficult steps of image analysis and computer vision and it is considered as one of the oldest problems in machine vision. Lately, several segmentation algorithms have been developed with features related to thresholding, edge location and region growing to offer an ...
Keywords: Image segmentation, Embedded systems, Reconfigurable architectures

September 2011 FPL '11: Proceedings of the 2011 21st International Conference on Field Programmable Logic and Applications
Publisher: IEEE Computer Society
Citation Count: 1

The available e-data throughout the Web are growing at such a high rate that data mining on the web is considered the biggest challenge of information technology. As a result it is crucial to find new and innovative ways for classifying and mining those huge amounts of data. In this ...
Keywords: Decision Tree Classification (DTC), Reconfigurable architecture

May 2011 FCCM '11: Proceedings of the 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines
Publisher: IEEE Computer Society
Citation Count: 0

The Light field descriptor method for 3D computer graphics offers the highest quality object retrieval from a database at the expense of higher storage and computational cost vs. other methods. This paper presents two special purpose architectures, based on FPGAs and GPUs, for the depth buffer extraction algorithm which is ...
Keywords: Lightfield Descriptors, 3D modeling, Reconfigurable Architecture, Graphics Processor Unit (GPU)

August 2010 FPL '10: Proceedings of the 2010 International Conference on Field Programmable Logic and Applications
Publisher: IEEE Computer Society
Citation Count: 0

Secondary structure prediction is a compute-intensive task that is used in many bioinformatics applications. In this paper we have selected two of the most well-known secondary structure prediction algorithms, the Predator and the Zuker algorithm, and we present two FPGA-based systems that implement them. Also, this paper presents different schemes ...
Keywords: Secondary structure prediction, Reconfigurable architecture, Bioinformatics

August 2009 ADHOC-NOW '09: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
Publisher: Springer-Verlag
Citation Count: 1

Power consumption is a crucial issue for Wireless Sensor Networks (WSNs). The overall energy in the WSN nodes is consumed in three distinct processes: data processing, sensing the surroundings and data transmission. If data compression is applied, the energy consumed for data processing is increased whereas the transmission power consumption ...

April 2009 DATE '09: Proceedings of the Conference on Design, Automation and Test in Europe
Publisher: European Design and Automation Association
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 4,   Downloads (Overall): 59

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BLAST is a very popular Computational Biology algorithm. Since it is computationally expensive it is a natural target for acceleration research, and many reconfigurable architectures have been proposed offering significant improvements. In this paper we approach the same problem with a different approach: we propose a BLAST algorithm preprocessor that ...

April 2007 FCCM '07: Proceedings of the 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Publisher: IEEE Computer Society
Citation Count: 0

SCAN is a class of formal languages for compression, encryption and information hiding. We have previously studied and reported separate hardware implementations of SCAN compression and encryption. This paper presents initial results on the design of a complete single-chip system for the SCAN compression, encryption and information hiding algorithm using ...

June 2006 RSP '06: Proceedings of the Seventeenth IEEE International Workshop on Rapid System Prototyping
Publisher: IEEE Computer Society
Citation Count: 1

In the course of rapid system prototyping of a large scale design and implementation of the BLAST algorithm for bioinformatics, we evaluated two dzfferent design methods. First, we used the "traditional" method of design with modeling in C and design and synthesis using VHDL. Second, we used the automated tools ...

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