E. MOCSKOS; P. VERGHELET

Towards a Platform to evaluate the impact of Resource Information Distribution in IoT Environments

High Performance Computing

Lugar: Cham; Año: 2020; p. 215 - 229

PABLO PIANTANIDA; LEONARDO REY VEGA

Representation Learning and Information Bottleneck

Information-Theoretic Methods in Data Science

Lugar: Cambridge; Año: 2020; p. 330 - 358

S. VALENZUELA; S. NESMACHNOW; A. OTERO; L. STEFFENEL; E. LUJÁN; E. MOCSKOS

Cloud Computing for Smart Energy Management (CC-SEM Project)

Smart Cities

Año: 2019; p. 116 - 131

D. VINAZZA; E. MOCSKOS; A. SOBA; A. OTERO

Initial Experiences from TUPAC Supercomputer

High Performance Computing

Año: 2018; p. 38 - 52

M. GEIER; E. MOCSKOS

SherlockFog: Finding Opportunities for MPI Applications in Fog and Edge Computing

High Performance Computing

Año: 2018; p. 185 - 199

P. VERGHELET; E. MOCSKOS

Efficient P2P Inspired Policy to Distribute Resource Information in Large Distributed Systems

High Performance Computing

Lugar: Cham; Año: 2017; p. 3 - 17

F. PARODI; S. RODRIGUEZ LEOPOLD; E. MOCSKOS; S. NESMACHNOW

Evaluation of a Master-Slave Parallel Evolutionary Algorithm Applied to Artificial Intelligence for Games in the Xeon-Phi Many-Core Platform

High Performance Computing

Lugar: Cham; Año: 2017; p. 161 - 176