activity
20202026
most citedPerformance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU

31 citations · 44 across the 7 of their papers we have counts for

collaborators

7 papers

cs.PF2026

Heuristic-Based Merging of HPC Traces to Extend Hardware Counter Coverage

Júlia Orteu Aubach, Fabio Banchelli, Marc Clascà Ramírez +1

This work extends a framework for predicting the performance of High-Performance Computing (HPC) workloads using Machine Learning (ML). A common limitation in performance modeling…

cs.AR2026★ 1 cited

EPAC: The Last Dance

Filippo Mantovani, Fabio Banchelli, Pablo Vizcaino +36

This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort to build a European…

cs.DC2025

Introducing MareNostrum5: A European pre-exascale energy-efficient system designed to serve a broad spectrum of scientific workloads

Fabio Banchelli, Marta Garcia-Gasulla, Filippo Mantovani +7

MareNostrum5 is a pre-exascale supercomputer at the Barcelona Supercomputing Center (BSC), part of the EuroHPC Joint Undertaking. With a peak performance of 314 petaflops, MareNost…

cs.DC2025★ 3 cited

Exploring RISC-V Long Vector Capabilities: A Case Study in Earth Sciences

Fabio Banchelli, David Jurado, Marta Garcia-Gasulla +1

This paper investigates the performance of Earth Sciences codes, specifically SeisSol and MiniFALL3D, on a RISC-V-based CPU featuring a long vector processing unit. The study focus…

cs.OH2023★ 7 cited

Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study

Filippo Mantovani, Pablo Vizcaino, Fabio Banchelli +6

Prototyping HPC systems with low-to-mid technology readiness level (TRL) systems is critical for providing feedback to hardware designers, the system software team (e.g., compiler…

cs.DC2022★ 2 cited

A portable coding strategy to exploit vectorization on combustion simulations

Fabio Banchelli, Guillermo Oyarzun, Marta Garcia-Gasulla +4

The complexity of combustion simulations demands the latest high-performance computing tools to accelerate its time-to-solution results. A current trend on HPC systems is the utili…

cs.DC2020★ 31 cited

Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU

Filippo Mantovani, Marta Garcia-Gasulla, José Gracia +5

In this paper, we analyze the performance and energy consumption of an Arm-based high-performance computing (HPC) system developed within the European project Mont-Blanc 3. This sy…