Pablo Antonio Martínez

J. Supercomput., July, 2024

A multi-GPU implementation of Real-Time Time-Dependent Auxiliary Density Functional Theory for the investigation of nanosystems irradiations.

[BibT_eX]

[DOI]

Theresa Vock

Liliane Racha Kharchi

Jesús N. Pedroza-Montero

Xiaojing Wu

Karim Hasnaoui

Aurélien de la Lande

Comput. Phys. Commun., 2024

Code Detection for Hardware Acceleration Using Large Language Models.

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

Matching linear algebra and tensor code to specialized hardware accelerators.

[BibT_eX]

[DOI]

Dataset, January, 2023

Matching linear algebra and tensor code to specialized hardware accelerators.

[BibT_eX]

[DOI]

Dataset, January, 2023

Matching linear algebra and tensor code to specialized hardware accelerators.

[BibT_eX]

[DOI]

Dataset, January, 2023

Matching linear algebra and tensor code to specialized hardware accelerators.

[BibT_eX]

[DOI]

Dataset, January, 2023

Matching Linear Algebra and Tensor Code to Specialized Hardware Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction, 2023

2022

HDNN: a cross-platform MLIR dialect for deep neural networks.

[BibT_eX]

[DOI]

José Manuel García Carrasco

J. Supercomput., 2022

Performance portability in a real world application: PHAST applied to Caffe.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2022

POAS: A high-performance scheduling framework for exploiting Accelerator Level Parallelism.

[BibT_eX]

[DOI]

CoRR, 2022

Applying Intel's oneAPI to a machine learning case study.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

2021

ACOTSP-MF: A memory-friendly and highly scalable ACOTSP approach.

[BibT_eX]

[DOI]

Eduardo José Gómez-Hernández

José M. García

Eng. Appl. Artif. Intell., 2021

2020

Using PHAST to port Caffe library: First experiences and lessons learned.

[BibT_eX]

[DOI]

José Manuel García Carrasco

Biagio Peccerillo

Sandro Bartolini