Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Jordi Guitart

Has grant

Associate Professor

Universitat Politècnica de Catalunya

Spain

Research Interests

Explore related searches

Professors in Spain Professors in High Performance Computing High Performance Computing professors in Spain

About

Jordi Guitart is an Associate Professor at Universitat Politècnica de Catalunya in Spain. His research focuses on cloud computing, high-performance computing, and machine learning workflows, as evidenced by his recent publications on VM allocation, container migrations, and performance characterization of containerized infrastructures. He is also involved in innovative teaching methodologies, such as remote laboratory setups and inquiry-based learning in distributed systems.

Recent Grants

Grant: Close

Adaptive virtualization for AI-enabled Cloud-edge Continuum (CloudSkin)

Open Date: 2023-01-01

Close Date: 2025-12-01

Grant: Close

Computing Resources Orchestration and Management for AI

Open Date: 2022-01-01

Close Date: 2025-06-01

Grant: Close

European Master for High Performance Computing (EUMaster4HPC)

Open Date: 2022-01-01

Close Date: 2025-12-01

Grant: Close

Computación de Altas Prestaciones VIII

Open Date: 2020-06-01

Close Date: 2024-05-01

Grant: Close

Models de Programacio i Entorns d'eXecució PARal.lels

Open Date: 2017-01-01

Close Date: 2019-12-01

Articles (14)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Collaborators (1)

Rodrigo M. Carrillo-Larco

Tenure-Track Assistant Professor

Emory University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jordi Guitart

Research Interests

Explore related searches

About

Recent Grants

Articles (14)

Scalable energy-aware VM allocation on cloud data centers through mathematical programming models

Adaptive Prompt Evolution for Continual Learning in Diabetic Retinopathy Detection

Embedded scaffolding for teaching and assessing inquiry-based hands-on laboratory on distributed systems

GreenWise: Intelligent Application Migration for Containerized Machine Learning Services in the Computing Continuum

Dynamic In-node Group-Aware Scheduling for Multi-Tenant Machine Learning Services on Kubernetes

Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection

Mobility Usecase: Intelligent Service Migration in Cloud-Edge Continuum

TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings

Practicable live container migrations in high performance computing clouds: Diskless, iterative, and connection-persistent

Remote DasaLAB: datacenter as a laboratory for remote learning

Performance characterization of containerization for HPC workloads on InfiniBand clusters: an empirical study

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging[Formula presented]

Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study

Big data deployment in containerized infrastructures through the interconnection of network namespaces

Collaborators (1)

Rodrigo M. Carrillo-Larco

Make your next move.