Improving multitask performance and energy consumption with partial-ISA multicores

Modern GPPs implement specialized instructions in the form of ISA extensions aiming to increase the performance of emerging applications. These extensions impose a significant overhead in the area and power of the processor because of their specific datapaths (e.g. hardware for SIMD and FP instructi...

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Detalles Bibliográficos
Autores: Dellagostin Souza, Jeckson, Exenberger Becker, Pedro Henrique|||0000-0001-5947-1913, Schneider Beck, Antonio Carlos
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/349253
Acceso en línea:https://hdl.handle.net/2117/349253
https://dx.doi.org/10.1016/j.jpdc.2021.02.007
Access Level:acceso abierto
Palabra clave:Multiprocessors
Energy consumption
Heterogeneity
Partial-ISA
Overlapping-ISA
Energy efficiency
Scheduling
Multiprocessadors
Energia -- Consum
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
Descripción
Sumario:Modern GPPs implement specialized instructions in the form of ISA extensions aiming to increase the performance of emerging applications. These extensions impose a significant overhead in the area and power of the processor because of their specific datapaths (e.g. hardware for SIMD and FP instructions may represent more than half of the core area). Considering that some devices (e.g., edge computing), must be as energy- and area-efficient as possible, and the sporadic usage of specialized instructions in many applications, we propose PHISA multicores. PHISA is composed of heterogeneous cores of the same single base ISA, but asymmetric functionality: some of the cores do not fully implement the costly instruction extensions, making room for the designers to add more efficient cores. We show that PHISA increases performance in (32%) and reduces energy consumption in (82%) compared to full-ISA systems with the same power budget, in multi-workload environments.