Gabriell Alves de Araujo

According to our database, Gabriell Alves de Araujo authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

A C++ annotation-based domain-specific language for expressing stream and data parallelism supporting CPU and GPU.

Gabriell Alves de Araujo, Dinei A. Rockenbach, Júnior Löff, Dalvan Griebler, Luiz Gustavo Fernandes

J. Comput. Lang., 2025

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism.

Dinei A. Rockenbach, Gabriell Alves de Araujo, Dalvan Griebler, Luiz Gustavo Fernandes

Comput. Stand. Interfaces, 2025

Performance, Portability, and Productivity of HIP on GPUs with NAS Parallel Benchmarks.

Gabriell Alves de Araujo, Dalvan Griebler, Luiz Gustavo Fernandes

Proceedings of the 37th IEEE/SBC International Symposium on Computer Architecture and High Performance Computing, 2025

2023

NAS Parallel Benchmarks with CUDA and beyond.

Gabriell Alves de Araujo, Dalvan Griebler, Dinei A. Rockenbach, Marco Danelutto, Luiz Gustavo Fernandes

Softw. Pract. Exp., 2023

2022

High-Level Stream and Data Parallelism in C++ for GPUs.

Dinei A. Rockenbach, Júnior Löff, Gabriell Alves de Araujo, Dalvan Griebler, Luiz Gustavo Fernandes

Proceedings of the SBLP 2022: XXVI Brazilian Symposium on Programming Languages, Virtual Event Brazil, October 6, 2022

2021

NPB-CPP: NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures.

Júnior Löff, Dalvan Griebler, Gabriele Mencagli, Gabriell Alves de Araujo, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes

Dataset, August, 2021

The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures.

Júnior Löff, Dalvan Griebler, Gabriele Mencagli, Gabriell Alves de Araujo, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes

Future Gener. Comput. Syst., 2021

2020

Efficient NAS Parallel Benchmark Kernels with CUDA.

Gabriell Alves de Araujo, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes

Proceedings of the 28th Euromicro International Conference on Parallel, 2020