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You searched for subject:(Checkpointing Algorithms). Showing records 1 – 4 of 4 total matches.

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1. Aupy, Guillaume. Resilient and energy-efficient scheduling algorithms at scale : Algorithmes d'ordonnancement fiables et efficaces énergétiquement à l'échelle.

Degree: Docteur es, Informatique, 2014, Lyon, École normale supérieure

Dans cette thèse, j'ai considéré d'un point de vue théorique deux problèmes importants pour les futures plateformes dîtes Exascales : les restrictions liées à leur… (more)

Subjects/Keywords: Fiabilité; Énergie; Checkpointing; Prédiction; Silent errors; Dvfs; Théorie; Algorithmes; Ordonnancement; Exascale; Reliability; Energy; Checkpointing; Prediction; Silent errors; Dvfs; Theory; Algorithms; Scheduling; Exascale

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APA (6th Edition):

Aupy, G. (2014). Resilient and energy-efficient scheduling algorithms at scale : Algorithmes d'ordonnancement fiables et efficaces énergétiquement à l'échelle. (Doctoral Dissertation). Lyon, École normale supérieure. Retrieved from http://www.theses.fr/2014ENSL0928

Chicago Manual of Style (16th Edition):

Aupy, Guillaume. “Resilient and energy-efficient scheduling algorithms at scale : Algorithmes d'ordonnancement fiables et efficaces énergétiquement à l'échelle.” 2014. Doctoral Dissertation, Lyon, École normale supérieure. Accessed May 20, 2019. http://www.theses.fr/2014ENSL0928.

MLA Handbook (7th Edition):

Aupy, Guillaume. “Resilient and energy-efficient scheduling algorithms at scale : Algorithmes d'ordonnancement fiables et efficaces énergétiquement à l'échelle.” 2014. Web. 20 May 2019.

Vancouver:

Aupy G. Resilient and energy-efficient scheduling algorithms at scale : Algorithmes d'ordonnancement fiables et efficaces énergétiquement à l'échelle. [Internet] [Doctoral dissertation]. Lyon, École normale supérieure; 2014. [cited 2019 May 20]. Available from: http://www.theses.fr/2014ENSL0928.

Council of Science Editors:

Aupy G. Resilient and energy-efficient scheduling algorithms at scale : Algorithmes d'ordonnancement fiables et efficaces énergétiquement à l'échelle. [Doctoral Dissertation]. Lyon, École normale supérieure; 2014. Available from: http://www.theses.fr/2014ENSL0928

2. Taftaf, Ala. Développements du modèle adjoint de la différentiation algorithmique destinés aux applications intensives en calcul : Extensions of algorithmic differentiation by source transformation inspired by modern scientific computing.

Degree: Docteur es, Mathématiques, 2017, Côte d'Azur

Le mode adjoint de la Différentiation Algorithmique (DA) est particulièrement intéressant pour le calcul des gradients. Cependant, ce mode utilise les valeurs intermédiaires de la… (more)

Subjects/Keywords: Différenciation algorithmique; Méthode adjointe; Algorithmes point-fixe; Communication par passage de message; MPI; Algorithmic differentiation; Adjoint methods; Fixed-point algorithms; Checkpointing; Message passing; MPI

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APA (6th Edition):

Taftaf, A. (2017). Développements du modèle adjoint de la différentiation algorithmique destinés aux applications intensives en calcul : Extensions of algorithmic differentiation by source transformation inspired by modern scientific computing. (Doctoral Dissertation). Côte d'Azur. Retrieved from http://www.theses.fr/2017AZUR4001

Chicago Manual of Style (16th Edition):

Taftaf, Ala. “Développements du modèle adjoint de la différentiation algorithmique destinés aux applications intensives en calcul : Extensions of algorithmic differentiation by source transformation inspired by modern scientific computing.” 2017. Doctoral Dissertation, Côte d'Azur. Accessed May 20, 2019. http://www.theses.fr/2017AZUR4001.

MLA Handbook (7th Edition):

Taftaf, Ala. “Développements du modèle adjoint de la différentiation algorithmique destinés aux applications intensives en calcul : Extensions of algorithmic differentiation by source transformation inspired by modern scientific computing.” 2017. Web. 20 May 2019.

Vancouver:

Taftaf A. Développements du modèle adjoint de la différentiation algorithmique destinés aux applications intensives en calcul : Extensions of algorithmic differentiation by source transformation inspired by modern scientific computing. [Internet] [Doctoral dissertation]. Côte d'Azur; 2017. [cited 2019 May 20]. Available from: http://www.theses.fr/2017AZUR4001.

Council of Science Editors:

Taftaf A. Développements du modèle adjoint de la différentiation algorithmique destinés aux applications intensives en calcul : Extensions of algorithmic differentiation by source transformation inspired by modern scientific computing. [Doctoral Dissertation]. Côte d'Azur; 2017. Available from: http://www.theses.fr/2017AZUR4001


Indian Institute of Science

3. Kalaiselvi, S. Checkpointing Algorithms for Parallel Computers.

Degree: 1997, Indian Institute of Science

Checkpointing is a technique widely used in parallel/distributed computers for rollback error recovery. Checkpointing is defined as the coordinated saving of process state information at… (more)

Subjects/Keywords: Computer and Information Science; Parallel Computers; Parallel Program; Checkpointing Algorithms; Scalable Coherent Interface (SCI); Static Checkpointing Algorithms; Distributed Shared Memory (DSM); Uniprocessor Systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kalaiselvi, S. (1997). Checkpointing Algorithms for Parallel Computers. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/67

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kalaiselvi, S. “Checkpointing Algorithms for Parallel Computers.” 1997. Thesis, Indian Institute of Science. Accessed May 20, 2019. http://hdl.handle.net/2005/67.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kalaiselvi, S. “Checkpointing Algorithms for Parallel Computers.” 1997. Web. 20 May 2019.

Vancouver:

Kalaiselvi S. Checkpointing Algorithms for Parallel Computers. [Internet] [Thesis]. Indian Institute of Science; 1997. [cited 2019 May 20]. Available from: http://hdl.handle.net/2005/67.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kalaiselvi S. Checkpointing Algorithms for Parallel Computers. [Thesis]. Indian Institute of Science; 1997. Available from: http://hdl.handle.net/2005/67

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Arizona State University

4. Lokam, Sai Ram Dheeraj. InCheck - An Integrated Recovery Methodology for Fine-grained Soft-Error Detection Schemes.

Degree: Computer Science, 2016, Arizona State University

Subjects/Keywords: Computer engineering; Computer science; Electrical engineering; Algorithms; Checkpointing; Recovery; Reliability; Silent Data Corruption; Soft-Errors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lokam, S. R. D. (2016). InCheck - An Integrated Recovery Methodology for Fine-grained Soft-Error Detection Schemes. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/40720

Chicago Manual of Style (16th Edition):

Lokam, Sai Ram Dheeraj. “InCheck - An Integrated Recovery Methodology for Fine-grained Soft-Error Detection Schemes.” 2016. Masters Thesis, Arizona State University. Accessed May 20, 2019. http://repository.asu.edu/items/40720.

MLA Handbook (7th Edition):

Lokam, Sai Ram Dheeraj. “InCheck - An Integrated Recovery Methodology for Fine-grained Soft-Error Detection Schemes.” 2016. Web. 20 May 2019.

Vancouver:

Lokam SRD. InCheck - An Integrated Recovery Methodology for Fine-grained Soft-Error Detection Schemes. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2019 May 20]. Available from: http://repository.asu.edu/items/40720.

Council of Science Editors:

Lokam SRD. InCheck - An Integrated Recovery Methodology for Fine-grained Soft-Error Detection Schemes. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/40720

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