The MATISSE MATLAB compiler. - João Bispo; Pedro Pinto 002; Ricardo Nobre; Tiago Carvalho 001; João M. P. Cardoso; Pedro C. Diniz (INDIN, 2013)

On Expressing Strategies for Directive-Driven Multicore Programing Models. - Ricardo Nobre; Pedro Pinto 002; Tiago Carvalho 001; João M. P. Cardoso; Pedro C. Diniz (PARMA-DITAM@HiPEAC, 2014)

Programming Strategies for Contextual Runtime Specialization. - Tiago Carvalho 001; Pedro Pinto 002; João M. P. Cardoso (SCOPES, 2015)

Fault Detection in C Programs using Monitoring of Range Values: Preliminary Results. - Pedro Pinto 002; Rui Abreu 001; João M. P. Cardoso (CoRR, 2015)

The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems. - Cristina Silvano; Giovanni Agosta; Stefano Cherubin; Davide Gadioli; Gianluca Palermo; Andrea Bartolini; Luca Benini; Jan Martinovic; Martin Palkovic; Katerina Slaninová; João Bispo; João M. P. Cardoso; et al. (Conf. Computing Frontiers, 2016)

Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach. - Cristina Silvano; Giovanni Agosta; Andrea Bartolini; Andrea Rosario Beccari; Luca Benini; João Bispo; Radim Cmar; João M. P. Cardoso; Carlo Cavazzoni; Jan Martinovic; Gianluca Palermo; Martin Palkovic; et al. (DATE, 2016)

LARA as a language-independent aspect-oriented programming approach. - Pedro Pinto 002; Tiago Carvalho 001; João Bispo; João M. P. Cardoso (SAC, 2017)

The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems. - Cristina Silvano; Giovanni Agosta; Jorge G. Barbosa; Andrea Bartolini; Andrea Rosario Beccari; Luca Benini; João Bispo; João M. P. Cardoso; Carlo Cavazzoni; Stefano Cherubin; Radim Cmar; Davide Gadioli; et al. (SAMOS, 2017)

Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox. - Cristina Silvano; Gianluca Palermo; Giovanni Agosta; Amir H. Ashouri; Davide Gadioli; Stefano Cherubin; Emanuele Vitali; Luca Benini; Andrea Bartolini; Daniele Cesarini; João M. P. Cardoso; João Bispo; et al. (CF, 2018)

SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications. - Davide Gadioli; Ricardo Nobre; Pedro Pinto 002; Emanuele Vitali; Amir H. Ashouri; Gianluca Palermo; João M. P. Cardoso; Cristina Silvano (DATE, 2018)

ANTAREX: A DSL-Based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing. - Cristina Silvano; Giovanni Agosta; Andrea Bartolini; Andrea Rosario Beccari; Luca Benini; Loïc Besnard; João Bispo; Radim Cmar; João M. P. Cardoso; Carlo Cavazzoni; Stefano Cherubin; Davide Gadioli; et al. (DSD, 2018)

Aspect composition for multiple target languages using LARA. - Pedro Pinto 002; Tiago Carvalho 001; João Bispo; Miguel António Ramalho; João M. P. Cardoso (Comput. Lang. Syst. Struct., 2018)

Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach. - Cristina Silvano; Giovanni Agosta; Andrea Bartolini; Andrea Rosario Beccari; Luca Benini; Loïc Besnard; João Bispo; Radim Cmar; João M. P. Cardoso; Carlo Cavazzoni; Daniele Cesarini; Stefano Cherubin; et al. (PDP, 2019)

The ANTAREX Domain Specific Language for High Performance Computing. - Cristina Silvano; Giovanni Agosta; Andrea Bartolini; Andrea Rosario Beccari; Luca Benini; Loïc Besnard; João Bispo; Radim Cmar; João M. P. Cardoso; Carlo Cavazzoni; Daniele Cesarini; Stefano Cherubin; et al. (CoRR, 2019)

A framework for automatic and parameterizable memoization. - Loïc Besnard; Pedro Pinto 002; Imane Lasri; João Bispo; Erven Rohou; João M. P. Cardoso (SoftwareX, 2019)

A methodology and framework for software memoization of functions. - Pedro Pinto 002; João M. P. Cardoso (CF, 2021)

An Efficient Monte Carlo-Based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System. - Emanuele Vitali; Davide Gadioli; Gianluca Palermo; Martin Golasowski; João Bispo; Pedro Pinto 002; Jan Martinovic; Katerina Slaninová; João M. P. Cardoso; Cristina Silvano (IEEE Trans. Emerg. Top. Comput., 2021)

Pegasus: Performance Engineering for Software Applications Targeting HPC Systems. - Pedro Pinto 002; João Bispo; João M. P. Cardoso; Jorge G. Barbosa; Davide Gadioli; Gianluca Palermo; Jan Martinovic; Martin Golasowski; Katerina Slaninová; Radim Cmar; Cristina Silvano (IEEE Trans. Software Eng., 2022)

A DSL-based runtime adaptivity framework for Java. - Tiago Carvalho 001; João Bispo; Pedro Pinto 002; João M. P. Cardoso (SoftwareX, 2023)

Source-to-source Programmable Performance Engineering For High-Performance Computing - Pedro Pinto 002 (2024)