activity
20202025
most citedEnabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence

58 citations · 77 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2025★ 2 cited

Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems

Alex Barceló, Sebastián A. Cajas Ordoñez, Jaydeep Samanta +4

The increasing demand for artificial intelligence (AI) workloads across diverse computing environments has driven the need for more efficient data management strategies. Traditiona…

cs.DC2023★ 2 cited

Enhancing iteration performance on distributed task-based workflows

Alex Barcelo, Anna Queralt, Toni Cortes

Task-based programming models have proven to be a robust and versatile way to approach development of applications for distributed environments. They provide natural programming pa…

cs.DC2022★ 58 cited

Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence

Jorge Ejarque, Rosa M. Badia, Loïc Albertin +34

The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The co…

quant-ph2022★ 5 cited

RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation

Sergio Sánchez-Ramírez, Javier Conejero, Francesc Lordan +4

With the advent of more powerful Quantum Computers, the need for larger Quantum Simulations has boosted. As the amount of resources grows exponentially with size of the target syst…

cs.DB2021★ 3 cited

Revisiting Active Object Stores: Bringing Data Locality to the Limit With NVM

Alex Barceló, Anna Queralt, Toni Cortes

Object stores are widely used software stacks that achieve excellent scale-out with a well-defined interface and robust performance. However, their traditional get/put interface is…

cs.DC2020★ 7 cited

Workflow environments for advanced cyberinfrastructure platforms

Rosa M Badia, Jorge Ejarque, Francesc Lordan +5

Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such…