César Piñeiro

According to our database, César Piñeiro authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Corrigendum to "Towards universal MPI bindings for enhanced new language support" [J. Comput. Sci. 87 (2025), 102557].

César Piñeiro, Álvaro Vázquez, Juan Carlos Pichel

J. Comput. Sci., 2026

OMP4Py: A pure Python implementation of openMP.

César Piñeiro, Juan Carlos Pichel

Future Gener. Comput. Syst., 2026

NetQIR: An extension of QIR for distributed quantum computing.

Francisco Javier Cardama, Jorge Vázquez-Pérez, César Piñeiro, Tomás F. Pena, Juan Carlos Pichel, Andrés Gómez

Future Gener. Comput. Syst., 2026

Unlocking Python Multithreading Capabilities using OpenMP-Based Programming with OMP4Py.

César Piñeiro, Juan Carlos Pichel

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

2025

Review of intermediate representations for quantum computing.

Francisco Javier Cardama, Jorge Vázquez-Pérez, César Piñeiro, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez

J. Supercomput., January, 2025

Inqasm: InQuIR compiler to NetQASM.

Jorge Vázquez-Pérez, Francisco Javier Cardama, César Piñeiro, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez

J. Supercomput., 2025

Towards universal MPI bindings for enhanced new language support.

César Piñeiro, Álvaro Vázquez, Juan Carlos Pichel

J. Comput. Sci., 2025

Review of Distributed Quantum Computing: From single QPU to High Performance Quantum Computing.

David Barral, Francisco Javier Cardama, Guillermo Díaz-Camacho, Daniel Faílde, Iago F. Llovo, Mariamo Mussa-Juane, Jorge Vázquez-Pérez, Juan Villasuso, César Piñeiro, Natalia Costas, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez

Comput. Sci. Rev., 2025

2024

QPU integration in OpenCL for heterogeneous programming.

Jorge Vázquez-Pérez, César Piñeiro, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez

J. Supercomput., May, 2024

Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing.

David Barral, Francisco Javier Cardama, Guillermo Díaz, Daniel Faílde, Iago F. Llovo, Mariamo Mussa-Juane, Jorge Vázquez-Pérez, Juan Villasuso, César Piñeiro, Natalia Costas, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez

CoRR, 2024

MPI4All: Universal Binding Generation for MPI Parallel Programming.

César Piñeiro, Álvaro Vázquez, Juan Carlos Pichel

Proceedings of the Computational Science - ICCS 2024, 2024

2022

A unified framework to improve the interoperability between HPC and Big Data languages and programming models.

César Piñeiro, Juan Carlos Pichel

Future Gener. Comput. Syst., 2022

2020

Fast Distributed <i>k</i>NN Graph Construction Using Auto-tuned Locality-sensitive Hashing.

Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos

ACM Trans. Intell. Syst. Technol., 2020

Ignis: An efficient and scalable multi-language Big Data framework.

César Piñeiro, Rodrigo Martínez-Castaño, Juan Carlos Pichel

Future Gener. Comput. Syst., 2020

Very Fast Tree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies.

César Piñeiro, José Manuel Abuín, Juan Carlos Pichel

Bioinform., 2020

2018

LinguaKit: A Big Data-Based Multilingual Tool for Linguistic Analysis and Information Extraction.

Pablo Gamallo Otero, Marcos García, César Piñeiro, Rodrigo Martínez-Castaño, Juan Carlos Pichel

Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

2017

Perldoop2: A Big Data-Oriented Source-to-Source Perl-Java Compiler.

César Piñeiro, José Manuel Abuín, Juan Carlos Pichel

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017