Berti-Chip
Financiado
Energy Efficient Highly Accurate Data Prefetching
Data prefetchers are ubiquitous in current high-performance computers such as those manufactured by Intel, ARM, AMD, or IBM, as they play a fundamental role in hiding long-latency memory accesses. Prefetchers predict the data that...
Data prefetchers are ubiquitous in current high-performance computers such as those manufactured by Intel, ARM, AMD, or IBM, as they play a fundamental role in hiding long-latency memory accesses. Prefetchers predict the data that will be needed by a processor in the future and fetch such data ahead of execution. State-of-the-art data prefetchers, push the limits of performance but often without caring about energy efficiency. The energy efficiency of a prefetcher is dictated by its accuracy, which measures the percentage of data moved by the prefetcher that satisfies the processor demands.
Berti is a data prefetcher sited at the first-level data cache (L1D) that makes a compelling case for timeliness and accuracy. Berti can boost processors performance by 33% (with respect to those not using prefetching mechanisms) and 8.5% (when compared to mainstream prefetchers) while providing an accuracy above 90%, which translates into a low energy overhead of the memory hierarchy. In addition, Berti is a cost-effective prefetcher that just requires 2.55KB of storage.
The objective of this project is to elaborate a hardware design for the Berti data prefetcher, as we strongly believe that the notable boost in processor performance and efficiency along with its design simplicity makes Berti a serious candidate both for the emerging low-power edge market and for high-performance computers.
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Duración del proyecto: 19 meses
Fecha Inicio: 2024-03-05
Fecha Fin: 2025-10-31
Fecha Fin: 2025-10-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-03-05
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2023-POC:
ERC PROOF OF CONCEPT GRANTS
Cerrada
hace 1 año
Presupuesto
El presupuesto total del proyecto asciende a
150K€
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