Pedro Bruel

Orcid: 0000-0002-6017-0816

According to our database1, Pedro Bruel authored at least 16 papers between 2014 and 2024.

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Bibliography

2024
Quantum optimization algorithms: Energetic implications.
Concurr. Comput. Pract. Exp., July, 2024

The Distribution Is the Performance.
Computer, April, 2024

Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows.
Computer, January, 2024

SHARP: A Distribution-Based Framework for Reproducible Performance Evaluation.
Proceedings of the IEEE International Symposium on Workload Characterization, 2024

2023
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs.
CoRR, 2023

Adaptive Stopping Rule for Performance Measurements.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Revisiting Performance Evaluation in the Age of Uncertainty.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling.
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).
PhD thesis, 2021

Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.
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.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2017
Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework.
Concurr. Comput. Pract. Exp., 2017

Autotuning high-level synthesis for FPGAs using OpenTuner and LegUp.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017

Generalize or Die: Operating Systems Support for Memristor-Based Accelerators.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016
OpenMP is Not as Easy as It Appears.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2014
A Protocol for creating Multiagent Systems in Ensemble with Pure Data.
Proceedings of the Music Technology meets Philosophy, 2014


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