activity
20232026
most citedAnalyzing Transatlantic Network Traffic over Scientific Data Caches

6 citations · 10 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DC2026

How far does a random forest generalize from a 54-run LAMMPS+SPICA benchmark?

Dennis Alves Pedersen, Paulo Henrique Leme Ramalho, Fábio Andrijauskas

Selecting near-optimal hybrid MPI+OpenMP configurations for molecular dynamics workloads on modern HPC clusters has traditionally required exhaustive empirical benchmarking, consum…

cs.DC2026

Strategies for Molecular Dynamics using Hybrid Systems: LAMMPS Use Case

Paulo Henrique Leme Ramalho, Dennis Alves Pedersen, Fábio Andrijauskas

The complexity of biomolecular simulations has substantially increased the demand for High-Performance Computing (HPC) infrastructures, particularly in molecular dynamics and coars…

cs.DC2026

Open Science Data Federation -- operation and monitoring

Fabio Andrijauskas, Derek Weitzel, Frank Wuerthwein

Extensive data processing is becoming commonplace in many fields of science. Distributing data to processing sites and providing methods to share the data with collaborators effici…

cs.DC2026

Using the Open Science Data Federation for data distribution: Big Bear Solar Observatory use case

Sydney Montiel, Alexsandra Guadarrama, Fabio Andrijauskas

The growing demand for extensive data processing is now a standard in many scientific fields. Efficiently distributing data to processing sites and enabling seamless sharing has be…

cs.IR2026★ 2 cited

Benchmarking the Open Science Data Federation services to develop XRootD best practices

Fabio Andrijauskas, Igor Sfiligoi, Frank Würthwein

Research has become dependent on processing power and storage, one crucial aspect being data sharing. The Open Science Data Federation (OSDF) project aims to create a scientific gl…

cs.DC2024★ 1 cited

CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications

Fabio Andrijauskas, Igor Sfiligoi, Diego Davila +5

Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many ap…

physics.comp-ph2023

IceCube experience using XRootD-based Origins with GPU workflows in PNRP

David Schultz, Igor Sfiligoi, Benedikt Riedel +3

The IceCube Neutrino Observatory is a cubic kilometer neutrino telescope located at the geographic South Pole. Understanding detector systematic effects is a continuous process. Th…

cs.DC2023★ 1 cited

Defining a canonical unit for accounting purposes

Fabio Andrijauskas, Igor Sfiligoi, Frank Würthwein

Compute resource providers often put in place batch compute systems to maximize the utilization of such resources. However, compute nodes in such clusters, both physical and logica…

cs.NI2023★ 6 cited

Analyzing Transatlantic Network Traffic over Scientific Data Caches

Z. Deng, A. Sim, K. Wu +6

Large scientific collaborations often share huge volumes of data around the world. Consequently a significant amount of network bandwidth is needed for data replication and data ac…