PUBLICACIÓN

Heterogeneous model parallelism for deep neural networks

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Moreno-Alvarez S., Haut J.M., Paoletti M.E., Rico-Gallego J.A.

2021 NEUROCOMPUTING

Artificial Intelligence (Q1), Cognitive Neuroscience (Q1), Computer Science Applications (Q1)

JCR: 5.779

SJR: 1.66

CITAS

13

DOI

10.1016/j.neucom.2021.01.125

EID

2-s2.0-85102105469

ISSN

0925-2312

EISSN

1872-8286

BIBTEX

@article{Paoletti2021,title = {Heterogeneous model parallelism for deep neural networks},journal = {Neurocomputing},year = {2021},volume = {441},pages = {1-12},author = {Moreno-Alvarez, S. and Haut, J.M. and Paoletti, M.E. and Rico-Gallego, J.A.}}

AUTORES DE LA UEX

Mercedes Eugenia Paoletti Ávila
Juan Mario Haut Hurtado
Juan Antonio Rico Gallego

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Formal Modeling And Performance Evaluation Of A Run-Time Rank Remapping Technique In Broadcast, Allgather And Allreduce Mpi Collective Operations
Model-Based Estimation Of The Communication Cost Of Hybrid Data-Parallel Applications On Heterogeneous Clusters
A Navigation Agent For Mobile Manipulators
Model-Based Estimation Of The Communication Cost Of Hybrid Data-Parallel Applications On Heterogeneous Clusters
A Navigation Agent For Mobile Manipulators
Extending Τ-Lop To Model Concurrent Mpi Communications In Multicore Clusters
A Navigation Agent For Mobile Manipulators
Extending Τ-Lop To Model Concurrent Mpi Communications In Multicore Clusters
Exascale Machines Require New Programming Paradigms And Runtimes
Extending Τ-Lop To Model Concurrent Mpi Communications In Multicore Clusters
Exascale Machines Require New Programming Paradigms And Runtimes
Modeling Contention And Mapping Effects In Multi-Core Clusters
Exascale Machines Require New Programming Paradigms And Runtimes
Modeling Contention And Mapping Effects In Multi-Core Clusters
Τ-Lop: Modeling Performance Of Shared Memory Mpi
Modeling Contention And Mapping Effects In Multi-Core Clusters
Τ-Lop: Modeling Performance Of Shared Memory Mpi
On The Performance Of Concurrent Transfers In Collective Algorithms
Τ-Lop: Modeling Performance Of Shared Memory Mpi
On The Performance Of Concurrent Transfers In Collective Algorithms
Improving Collectives By User Buffer Relocation
On The Performance Of Concurrent Transfers In Collective Algorithms
Improving Collectives By User Buffer Relocation
Performance Evaluation Of Thread-Based Mpi In Shared Memory
Improving Collectives By User Buffer Relocation
Performance Evaluation Of Thread-Based Mpi In Shared Memory
Issues On Building An Mpi Cluster On Microblaze
Performance Evaluation Of Thread-Based Mpi In Shared Memory
Issues On Building An Mpi Cluster On Microblaze
An Mpi-1 Compliant Thread-Based Implementation
Issues On Building An Mpi Cluster On Microblaze
An Mpi-1 Compliant Thread-Based Implementation
A Network Service For Dsp Multicomputers
An Mpi-1 Compliant Thread-Based Implementation
A Network Service For Dsp Multicomputers
A Pthreads-Based Mpi-1 Implementation For Mmu-Less Machines
A Network Service For Dsp Multicomputers
A Pthreads-Based Mpi-1 Implementation For Mmu-Less Machines
Qatris Mediabase: Almacenamiento, Análisis Y Recuperación Basada En La Semántica De Documentos Multimedia
A Pthreads-Based Mpi-1 Implementation For Mmu-Less Machines
Qatris Mediabase: Almacenamiento, Análisis Y Recuperación Basada En La Semántica De Documentos Multimedia
An Mpi Implementation For Distributed Signal Processing
Qatris Mediabase: Almacenamiento, Análisis Y Recuperación Basada En La Semántica De Documentos Multimedia
An Mpi Implementation For Distributed Signal Processing
Aprendiendo Multiprocesamiento Simétrico Con Minix
An Mpi Implementation For Distributed Signal Processing
Aprendiendo Multiprocesamiento Simétrico Con Minix
Porting P4 To Digital Signal Processing Platforms
Aprendiendo Multiprocesamiento Simétrico Con Minix
Porting P4 To Digital Signal Processing Platforms
Ponnhi: Una Nueva Arquitectura Microkernel Pthreads En Espacio De Usuario
Porting P4 To Digital Signal Processing Platforms
Ponnhi: Una Nueva Arquitectura Microkernel Pthreads En Espacio De Usuario
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
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