ECHO
Financiado
Extending Coherence for Hardware Driven Optimizations in Multicore Architectures
Multicore processors are present nowadays in most digital devices, from smartphones to high-performance
servers. The increasing computational power of these processors is essential for enabling many important
emerging application...
Multicore processors are present nowadays in most digital devices, from smartphones to high-performance
servers. The increasing computational power of these processors is essential for enabling many important
emerging application domains such as big-data, media, medical, or scientific modeling. A fundamental
technique to improve performance is speculation, a technique that consists in executing work before it is
known if it is actually needed. In hardware, speculation significantly increases energy consumption by
performing unnecessary operations, while speculation in software (e.g., compilers) is not the default thus
preventing performance optimizations. Since performance in current multicores is limited by their power
budget, it is imperative to make multicores as energy-efficient as possible to increase performance even
further.
In a multicore architecture, the cache coherence protocol is an essential component since its unique but
challenging role is to offer a simple and unified view of the memory hierarchy. This project envisions that
extending the role of the coherence protocol to simplify other system components will be the key to
overcome the performance and energy limitations of current multicores. In particular, ECHO proposes to
add simple but effective extensions to the cache coherence protocol in order to (i) reduce and even
eliminate misspeculations at the processing cores and synchronization mechanisms and to (ii) enable
speculative optimizations at compile time. The goal of this innovative approach is to improve the
performance and energy efficiency of future multicore architectures. To accomplish the objectives
proposed in this project, I will build on my 14 years expertise in cache coherence, documented in over 40
publications of high impact.
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Duración del proyecto: 84 meses
Fecha Inicio: 2019-01-17
Fecha Fin: 2026-01-31
Fecha Fin: 2026-01-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2019-01-17
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2018-COG:
ERC Consolidator Grant
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
UNIVERSIDAD DE MURCIA
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores
912
Total investigadores
912