Browsing by Author "Atienza, David"
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Challenges in deeply heterogeneous high performance systems
Agosta, Giovanni; Fornaciari, William; Atienza, David; Canal Corretger, Ramon; Cilardo, Alessandro; Flich Cardo, José; Hernández Luz, Carles; Kulczewski, Michal; Massari, Giuseppe; Tornero Gavilá, Rafael; Zapater Sancho, Marina (Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessRECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring ... -
Predictive reliability and fault management in exascale systems: State of the art and perspectives
Canal Corretger, Ramon; Hernández Luz, Carles; Tornero Gavilá, Rafael; Cilardo, Alessandro; Massari, Giuseppe; Reghenzani, Federico; Fornaciari, William; Zapater Sancho, Marina; Atienza, David; Oleksiak, Ariel; Wojciech Piatek, Poznan; Abella Ferrer, Jaume (2020-09)
Article
Open AccessPerformance and power constraints come together with Complementary Metal Oxide Semiconductor technology scaling in future Exascale systems. Technology scaling makes each individual transistor more prone to faults and, due ... -
The DeepHealth Toolkit: A key European free and open-source software for deep learning and computer vision ready to exploit heterogeneous HPC and cloud architectures
Aldinucci, Marco; Atienza, David; Bolelli, Federico; Caballero, Mónica; Colonnelli, Iacopo; Quiñones, Eduardo (Springer, Cham, 2022-04)
Part of book or chapter of book
Open AccessAt the present time, we are immersed in the convergence between Big Data, High-Performance Computing and Artificial Intelligence. Technological progress in these three areas has accelerated in recent years, forcing different ... -
The RECIPE approach to challenges in deeply heterogeneous high performance systems
Agosta, Giovanni; Fornaciari, William; Atienza, David; Canal Corretger, Ramon; Cilardo, Alessandro; Flich Cardo, José; Hernández Luz, Carles; Kulczewski, Michal; Massari, Giuseppe; Tornero Gavilá, Rafael; Zapater Sancho, Marina (2020-09)
Article
Open AccessRECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring ...