Idioma:

Multiobjective Optimization of SAR Reconstruction on Hybrid Multicore Systems

Wijayasiri, Adeesha ; Banerjee, Tania ; Ranka, Sanjay ; Sahni, Sartaj ; Schmalz, Mark

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.4674-4688 [Revista revisada por pares]

Piscataway: IEEE

Texto completo disponible

Citas Citado por

Acciones

Título:
Multiobjective Optimization of SAR Reconstruction on Hybrid Multicore Systems
Autor: Wijayasiri, Adeesha ; Banerjee, Tania ; Ranka, Sanjay ; Sahni, Sartaj ; Schmalz, Mark
Materias: Algorithms ; Coprocessors ; Cores ; Dynamic voltage frequency scaling (DVFS) ; Energy ; Energy requirements ; Floating point arithmetic ; GPU ; Graphics processing units ; hybrid multicore processors (HMP) ; Hybrid systems ; Image reconstruction ; Image resolution ; list assignment ; load balancing ; Load management ; Microprocessors ; Multicore processing ; Multiple objective analysis ; multiresolution images ; Pareto optimization ; Partitioning algorithms ; power and energy evaluation ; Radar imaging ; SAR (radar) ; Scaling ; Synthetic aperture radar
Es parte de: IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.4674-4688
Descripción: Hybrid multicore processors (HMPs) are poised to dominate the landscape of the next generation of computing on the desktop as well as on exascale systems. HMPs consist of general purpose CPU cores along with specialized coprocessors and can provide high performance for a wide spectrum of applications at significantly lower energy requirements per floating-point operations per second (FLOP). In this article, we develop parallel algorithms and software for constructing multiresolution synthetic aperture radar images on HMPs. We develop several load balancing algorithms for optimizing time performance and energy on HMPs. We also present a systematic approach for deriving the energy-time performance tradeoffs on HMPs in the presence of dynamic voltage frequency scaling. Pareto-optimal curves are presented on a system consisting of 24 traditional cores and a GPU.
Editor: Piscataway: IEEE
Idioma: Inglés

Volver a la lista de resultados

Anterior Resultado 8 Siguiente Ir a la siguiente página

Realización: Logos de Redes Sociales:

Multiobjective Optimization of SAR Reconstruction on Hybrid Multicore Systems

Wijayasiri, Adeesha ; Banerjee, Tania ; Ranka, Sanjay ; Sahni, Sartaj ; Schmalz, Mark

Piscataway: IEEE

Buscando en bases de datos remotas, por favor espere