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 languageEnglish (US)
Pages (from-to)323-327
Number of pages5
JournalJournal of Computational Electronics
Volume3
Issue number3-4
DOIs
StatePublished - Oct 2004

Fingerprint

Memory Management
Monte Carlo Algorithm
Data storage equipment
data compression
random access memory
Random Access
Data compression
Data Compression
Semiconductors
Compression
Semiconductor materials
Robustness

Keywords

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

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

Cite this

Efficient memory management for cellular Monte Carlo algorithm. / Branlard, Julien; Aboud, S. J.; Goodnick, Stephen; Saraniti, Marco.

In: Journal of Computational Electronics, Vol. 3, No. 3-4, 10.2004, p. 323-327.

Research output: Contribution to journalArticle

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