Pedro Bruel

According to our database, Pedro Bruel authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

The Distribution Is the Performance.

Eitan Frachtenberg, Viyom Mittal, Pedro Bruel, Michalis Faloutsos, Dejan S. Milojicic

Computer, April, 2024

Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows.

Pedro Bruel, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan S. Milojicic, Pavana Prakash, Gourav Rattihalli

Computer, January, 2024

2023

X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs.

Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves

CoRR, 2023

Adaptive Stopping Rule for Performance Measurements.

Viyom Mittal, Pedro Bruel, Dejan S. Milojicic, Eitan Frachtenberg

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling.

Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando P. Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan S. Milojicic

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2021

Toward transparent and parsimonious methods for automatic performance tuning. (Vers des méthodes transparentes et parcimonieuses pour l'optimisation automatique des performances).

Pedro Bruel

PhD thesis, 2021

Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.

Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2019

Autotuning Under Tight Budget Constraints: A Transparent Design of Experiments Approach.

Pedro Bruel, Steven Quinito Masnada, Brice Videau, Arnaud Legrand, Jean-Marc Vincent, Alfredo Goldman

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2017

Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework.

Pedro Bruel, Marcos Amaris, Alfredo Goldman

Concurr. Comput. Pract. Exp., 2017

Autotuning high-level synthesis for FPGAs using OpenTuner and LegUp.

Pedro Bruel, Alfredo Goldman, Sai Rahul Chalamalasetti, Dejan S. Milojicic

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017

Generalize or Die: Operating Systems Support for Memristor-Based Accelerators.

Pedro Bruel, Sai Rahul Chalamalasetti, Chris I. Dalton, Izzat El Hajj, Alfredo Goldman, Catherine Graves, Wen-Mei W. Hwu, Phil Laplante, Dejan S. Milojicic, Geoffrey Ndu, John Paul Strachan

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

OpenMP is Not as Easy as It Appears.

Rogério Aparecido Gonçalves, Marcos Amaris, Thiago Kenji Okada, Pedro Bruel, Alfredo Goldman

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2014

A Protocol for creating Multiagent Systems in Ensemble with Pure Data.

Pedro Bruel, Marcelo Queiroz

Proceedings of the Music Technology meets Philosophy, 2014