Energy-aware fully-adaptive resource provisioning in collaborative CPU-FPGA cloud environments-Reference-Cited by-同舟云学术

Energy-aware fully-adaptive resource provisioning in collaborative CPU-FPGA cloud environments

Author:

Jordan Michael Guilherme,Korol Guilherme,Knorst Tiago,Rutzig Mateus Beck,Beck Antonio Carlos Schneider

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference36 articles.

1. Enhanced first-fit decreasing algorithm for energy-aware job scheduling in cloud;Alahmadi,2014

2. Fpgas in the cloud: booting virtualized hardware accelerators with openstack;Byma,2014

3. Enabling fpgas in the cloud;Chen,2014

4. Online scheduling for fpga computation in the cloud;Dai,2014

5. Virtualized fpga accelerators for efficient cloud computing;Fahmy,2015

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