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Xu et al., 2020 - Google Patents

Mpi meets cloud: Case study with amazon ec2 and microsoft azure

Xu et al., 2020

Document ID
8068242333509182275
Author
Xu S
Ghazimirsaeed S
Hashmi J
Subramoni H
Panda D
Publication year
Publication venue
2020 IEEE/ACM Fourth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM)

External Links

Snippet

Scientists have traditionally employed High Performance Computing (HPC) systems to scale parallel scientific applications. Over the last decade, cloud based systems have been trying to meet the performance of bare-metal hardware while keeping the benefits of computing-as …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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    • G06F9/5044Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering hardware capabilities
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    • GPHYSICS
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    • H04L49/00Packet switching elements

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