Efficient memory management for cellular Monte Carlo algorithm

Julien Branlard; S. J. Aboud; Stephen Goodnick; Marco Saraniti

doi:10.1007/s10825-004-7069-2

Efficient memory management for cellular Monte Carlo algorithm

Julien Branlard, S. J. Aboud, Stephen Goodnick, Marco Saraniti

Research output: Contribution to journal › Article › peer-review

Abstract

Data compression techniques aimed to the reduction of the memory usage of the Cellular Monte Carlo (CMC) approach are presented in this work. Two approaches have been investigated and implemented, resulting in memory savings of 25 and 50% of computer random access memory (RAM). The loss of precision due to the proposed techniques is measured, and its consequences are studied. The validity and accuracy of the results obtained with compression is verified and robustness is tested on various semiconductor materials. Some applications of the proposed approach are discussed as well.

Original language	English (US)
Pages (from-to)	323-327
Number of pages	5
Journal	Journal of Computational Electronics
Volume	3
Issue number	3-4
DOIs	https://doi.org/10.1007/s10825-004-7069-2
State	Published - Oct 2004

Keywords

Compression algorithms
Full-band particle-based simulation
Monte Carlo techniques

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Modeling and Simulation
Electrical and Electronic Engineering

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10.1007/s10825-004-7069-2

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title = "Efficient memory management for cellular Monte Carlo algorithm",

abstract = "Data compression techniques aimed to the reduction of the memory usage of the Cellular Monte Carlo (CMC) approach are presented in this work. Two approaches have been investigated and implemented, resulting in memory savings of 25 and 50% of computer random access memory (RAM). The loss of precision due to the proposed techniques is measured, and its consequences are studied. The validity and accuracy of the results obtained with compression is verified and robustness is tested on various semiconductor materials. Some applications of the proposed approach are discussed as well.",

keywords = "Compression algorithms, Full-band particle-based simulation, Monte Carlo techniques",

author = "Julien Branlard and Aboud, {S. J.} and Stephen Goodnick and Marco Saraniti",

note = "Funding Information: This work has been partially supported by the NSF GRANT ECS-0115548 and the HPTi award CEN-K4-001.",

year = "2004",

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doi = "10.1007/s10825-004-7069-2",

language = "English (US)",

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T1 - Efficient memory management for cellular Monte Carlo algorithm

AU - Branlard, Julien

AU - Aboud, S. J.

AU - Goodnick, Stephen

AU - Saraniti, Marco

N1 - Funding Information: This work has been partially supported by the NSF GRANT ECS-0115548 and the HPTi award CEN-K4-001.

PY - 2004/10

Y1 - 2004/10

N2 - Data compression techniques aimed to the reduction of the memory usage of the Cellular Monte Carlo (CMC) approach are presented in this work. Two approaches have been investigated and implemented, resulting in memory savings of 25 and 50% of computer random access memory (RAM). The loss of precision due to the proposed techniques is measured, and its consequences are studied. The validity and accuracy of the results obtained with compression is verified and robustness is tested on various semiconductor materials. Some applications of the proposed approach are discussed as well.

AB - Data compression techniques aimed to the reduction of the memory usage of the Cellular Monte Carlo (CMC) approach are presented in this work. Two approaches have been investigated and implemented, resulting in memory savings of 25 and 50% of computer random access memory (RAM). The loss of precision due to the proposed techniques is measured, and its consequences are studied. The validity and accuracy of the results obtained with compression is verified and robustness is tested on various semiconductor materials. Some applications of the proposed approach are discussed as well.

KW - Compression algorithms

KW - Full-band particle-based simulation

KW - Monte Carlo techniques

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JO - Journal of Computational Electronics

JF - Journal of Computational Electronics

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ER -

Efficient memory management for cellular Monte Carlo algorithm

Abstract

Keywords

ASJC Scopus subject areas

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