Browsing by Author "Fornaciari, William"

Now showing items 1-4 of 4

    • 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 Access
      RECIPE (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 Access
      Performance 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 ...

    • TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale 

      Agosta, Giovanni; Cattaneo, Daniele; Fornaciari, William; Galimberti, Andrea; Massari, Giuseppe; Reghenzani, Federico; Terraneo, Federico; Filgueras Izquierdo, Antonio; Vidal, Miquel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      To achieve high performance and high energy efficiency on near-future exascale computing systems, three key technology gaps needs to be bridged. These gaps include: energy efficiency and thermal control; extreme computation ...

    • 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 Access
      RECIPE (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 ...