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High Performance Computing in Clouds: Moving HPC Applications to a Scalable and Cost-Effective Environment

1st ed. 2023., 2023

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A dynamic task scheduler tolerant to multiple hibernations in cloud environments

Cluster computing, 2021-06, Vol.24 (2), p.1051-1073

2021

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Special issue on Computer Architecture and High Performance Computing

Journal of parallel and distributed computing, 2018-10, Vol.120, p.195-195

2018

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Scheduling Bag-of-Tasks in Clouds Using Spot and Burstable Virtual Machines

IEEE transactions on cloud computing, 2023-01, Vol.11 (1), p.984-996

2023

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Optimizing Execution Time and Costs of Cross-Silo Federated Learning Applications with Datasets on different Cloud Providers

2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022, p.253-262

2022

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Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs

Future generation computer systems, 2020-12, Vol.113, p.528-540

2020

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A multivariate and quantitative model for predicting cross-application interference in virtual environments

The Journal of systems and software, 2017-06, Vol.128, p.150-163

2017

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Kernel concurrency opportunities based on GPU benchmarks characterization

Cluster computing, 2020-03, Vol.23 (1), p.177-188

2020

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Provenance-based fault tolerance technique recommendation for cloud-based scientific workflows: a practical approach

Cluster computing, 2020-03, Vol.23 (1), p.123-148

2020

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A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds

2019 31st International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2019, p.144-151

2019

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A GPU-Based Metaheuristic for Workflow Scheduling on Clouds

High Performance Computing for Computational Science – VECPAR 2018, p.62-76

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Evaluating balancing on social networks through the efficient solution of correlation clustering problems

EURO journal on computational optimization, 2017-12, Vol.5 (4), p.467-498

2017

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An Interference-Aware Strategy for Co-locating High Performance Computing Applications in Clouds

High Performance Computing Systems, p.3-20

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A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds

Future generation computer systems, 2017-11, Vol.76, p.1-17

2017

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A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-Based Spot GPU Instances

Euro-Par 2021: Parallel Processing, p.317-333

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Special Issue on Computer Architecture and High-Performance Computing

Journal of parallel and distributed computing, 2022-10, Vol.168, p.137-138

2022

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Design and analyses of web scraping on burstable virtual machines

Concurrency and computation, 2024-04, Vol.36 (9), p.n/a

2024

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Optimizing virtual machine allocation for parallel scientific workflows in federated clouds

Future generation computer systems, 2015-05, Vol.46, p.51-68

2015

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Exploring Federated Learning to Trace Depression in Social Media with Language Models

2023 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), 2023, p.24-30

2023

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A Dynamic Cloud Dimensioning Approach for Parallel Scientific Workflows: a Case Study in the Comparative Genomics Domain

Journal of grid computing, 2016-09, Vol.14 (3), p.443-461

2016

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Efficient Solution of the Correlation Clustering Problem: An Application to Structural Balance

On the Move to Meaningful Internet Systems: OTM 2013 Workshops, p.674-683

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A Graphics Processing Unit Algorithm to Solve the Quadratic Assignment Problem Using Level-2 Reformulation-Linearization Technique

INFORMS journal on computing, 2017-09, Vol.29 (4), p.676-687

2017

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Provenance-Based Dynamic Fine-Tuning of Cross-Silo Federated Learning

High Performance Computing, p.113-127

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Towards a Federated Learning Framework on a Multi-Cloud Environment

2022 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), 2022, p.39-44

2022

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Accelerating Pre‐stack Kirchhoff Time Migration by Manual Vectorization

Concurrency and computation, 2017-11, Vol.29 (22), p.n/a

2017

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High Performance Computing in Clouds: Moving HPC Applications to a Scalable and Cost-Effective Environment

A dynamic task scheduler tolerant to multiple hibernations in cloud environments

Special issue on Computer Architecture and High Performance Computing

Scheduling Bag-of-Tasks in Clouds Using Spot and Burstable Virtual Machines

Optimizing Execution Time and Costs of Cross-Silo Federated Learning Applications with Datasets on different Cloud Providers

Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs

A multivariate and quantitative model for predicting cross-application interference in virtual environments

Kernel concurrency opportunities based on GPU benchmarks characterization

Provenance-based fault tolerance technique recommendation for cloud-based scientific workflows: a practical approach

A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds

A GPU-Based Metaheuristic for Workflow Scheduling on Clouds

Evaluating balancing on social networks through the efficient solution of correlation clustering problems

An Interference-Aware Strategy for Co-locating High Performance Computing Applications in Clouds

A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds

A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-Based Spot GPU Instances

Special Issue on Computer Architecture and High-Performance Computing

Design and analyses of web scraping on burstable virtual machines

Optimizing virtual machine allocation for parallel scientific workflows in federated clouds

Exploring Federated Learning to Trace Depression in Social Media with Language Models

A Dynamic Cloud Dimensioning Approach for Parallel Scientific Workflows: a Case Study in the Comparative Genomics Domain

Efficient Solution of the Correlation Clustering Problem: An Application to Structural Balance

A Graphics Processing Unit Algorithm to Solve the Quadratic Assignment Problem Using Level-2 Reformulation-Linearization Technique

Provenance-Based Dynamic Fine-Tuning of Cross-Silo Federated Learning

Towards a Federated Learning Framework on a Multi-Cloud Environment

Accelerating Pre‐stack Kirchhoff Time Migration by Manual Vectorization

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