Pedro Henrique Rocha Bruel

Idiomas

Participação em eventos

Produções bibliográficas

• BRUEL, PEDRO ; AMARÍS, MARCOS ; GOLDMAN, ALFREDO . Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , v. n/a, p. e3973, 2017.

• HUANG, S. ; ANKIT, A. ; SILVEIRA, P. ; ANTUNES, R. ; CHALAMALASETTI, S. R. ; HAJJ, I. E. ; KIM, D. E. ; AGUIAR, G. ; BRUEL, P. ; SEREBRYAKOV, S. ; XU, C. ; MILOJICIC, D. . Mixed precision quantization for ReRAM-based DNN inference accelerators. In: 2021 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021, IEEE Online Conference. Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), 2021. p. 372-377.

• BRUEL, P. ; MASNADA, S. Q. ; VIDEAU, B. ; LEGRAND, A. ; VINCENT, J. ; GOLDMAN, A. . Autotuning under Tight Budget Constraints: A Transparent Design of Experiments Approach. In: The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, 2019, Larnaka. Proceedings of The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, 2019.

• BRUEL, P. ; MEIRELLES, Paulo ; COBE, R. ; GOLDMAN, A. . OpenMP or Pthreads: Which is Better for Beginners?. In: 8th Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU 2017), 2017, Vancouver. 8th Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU 2017), 2017.

• BRUEL, P. ; CHALAMALASETTI, S. R. ; DALTON, C. ; HAJJ, I. E. ; GOLDMAN, A. ; GRAVES, C. ; HWU, W. ; LAPLANTE, P. ; MILOJICIC, D. ; NDU, G. ; STRACHAN, J. P. . Generalize or Die: Operating System Support for Memristor-based Accelerators. In: IEEE International Conference on Rebooting Computing (ICRC 2017), 2017, Washington. IEEE International Conference on Rebooting Computing (ICRC 2017), 2017.

• BRUEL, P. ; GOLDMAN, A. ; CHALAMALASETTI, S. R. ; MILOJICIC, D. . Autotuning High-Level Synthesis for FPGAs Using OpenTuner and LegUp. In: International Conference on Reconfigurable Computing and FPGAs (ReConFig), 2017, Cancún. Proceedings of the IEEE International Conference on Reconfigurable Computing and FPGAs (ReConFig), 2017.

• GONÇALVEZ, R. ; AMARIS, M. ; OKADA, T. ; BRUEL, P. ; GOLDMAN, A. . OpenMP is not as Easy as it Appears. In: 49th Hawaii International Conference on System Sciences, 2016, Kauai. 49th Hawaii International Conference on System Sciences, 2016. p. 5742-5751.

• BRUEL, P. ; GOLDMAN, A. ; AMARIS, M. . Autotuning GPU Compiler Parameters Using OpenTuner. In: XVI Simpósio em Sistemas Computacionais de Alto Desempenho, 2015, Florianópolis. WSCAD'15 - XVI Simpósio em Sistemas Computacionais de Alto Desempenho, 2015., 2015. p. 13-23.

• BRUEL, P. ; QUEIROZ, M. G. . A Protocol for creating Multiagent Systems in Ensemble with Pure Data.. In: International Computer Music Conference / Sound and Music Computing 2014 Joint Conference, 2014, Atenas. Proceedings of the ICMC / SMC 2014 Joint Conference, 2014. p. 1-8.

• BRUEL, P. ; GOLDMAN, A. . Autotuning CUDA Compiler Parameters for Heterogeneous Applications using the OpenTuner Framework. In: PhD Forum of the 31st IPDPS IEEE International Parallel & Distributed Processing Symposium, 2016, Chigago. PhD Forum of the 31st IPDPS IEEE International Parallel & Distributed Processing Symposium, 2016.

• BRUEL, P. ; GOLDMAN, A. ; CHALAMALASETTI, S. R. ; MILOJICIC, D. . Autotuning for FPGAs. 2017. (Apresentação de Trabalho/Seminário).

• BRUEL, P. ; GOLDMAN, A. . Autotuning CUDA Compiler Parameters for Heterogeneous Applications using the OpenTuner Framework. 2016. (Apresentação de Trabalho/Seminário).

• BRUEL, P. ; GOLDMAN, A. ; CHALAMALASETTI, S. R. ; MILOJICIC, D. . Autotuning High-Level Synthesis for FPGAs. 2016. (Apresentação de Trabalho/Seminário).

• BRUEL, P. ; AMARIS, M. ; GOLDMAN, A. . Autotuning GPU Compiler Parameters Using OpenTuner. 2015. (Apresentação de Trabalho/Seminário).

Outras produções

Projetos de pesquisa

• 2021 - Atual

  Trends on High Performance Computing: from Resource Management to New Computer Architectures, Descrição: The ever-increasing scale of High-Performance Computing (HPC) problems and systems,as well as the growing adoption of new technologies such as Cloud Computing, GPGPUsand FPGAs, results in complex management, development, QoS, and fault-tolerance issuesthat hinder the production and use of HPC techniques and solutions.In this project, we join efforts and expertise from several Computer Science researcherson HPC to explore contemporary challenges and promote high impact research on paralleland HPC systems development. This work is focused on two main research axes: ResourceManagement and New Computer Architectures, encompassing a set of broad areas relevantfor HPC, such as cloud distributed computing and systems software.Our ultimate goal is to enable better QoS for users coupled with high resource utilizationfor service providers while supporting simple development and reliable fault-tolerance, evenin heterogeneous environments. To this end, within the Resource Management theme, weintend to investigate application-agnostic scheduling of large-scale, parallel applicationsand scientific workflows on both traditional clusters and cloud platforms with supportfor heterogeneous systems comprized of various CPUs, GPUs, and FPGAs. As for NewComputer Architectures, we aim to provide improved and simplified hardware and FPGAdesign, better automatic parallelization of code while targeting multiple, heterogeneousarchitectures, efficient and streamlined fault tolerance, and seamless, optimized schedulingof both coarse- and fine-grain applications in heterogeneous environments.Each area is divided in various topics, lead by an experienced researcher and tackledwith the help of collaborators and students. With this project, we want to provide not onlythe research itself but also promote the synergy of São Paulo State researchers.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Pedro Henrique Rocha Bruel - Integrante / Alfredo Goldman vel Lejbman - Coordenador / AMARÍS, MARCOS - Integrante / Raphael Y. de Camargo - Integrante / Hermes Senger - Integrante / Luiz Bittencourt - Integrante / Daniel de Angelis Cordeiro - Integrante / Kelly Braghetto - Integrante / Rodolfo Jardim Azevedo - Integrante / Guido Araújo - Integrante / Emílio Francesquini - Integrante / Paulo Sérgio Lopes de Souza - Integrante / Sarita Mazzini Bruschi - Integrante / Álvaro Fazenda - Integrante / Alexandro Baldassin - Integrante / Denise Stringhini - Integrante / Hélio Crestana Guardia - Integrante / Danilo Carastan-Santos - Integrante., Financiador(es): Fundação de Amparo à Pesquisa do Estado de São Paulo - Auxílio financeiro.