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Heterogeneous Cloud Computing

https://doi.org/10.1109/cluster.2011.49

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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NPACI Rocks: tools and techniques for easily deploying manageable Linux clusters

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Intelligent Platform Management Interface

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Cloud Computing for Science

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High Performance Parallel Computing with Clouds and Cloud Technologies

inferredcites →https://doi.org/10.1007/978-3-642-15277-1_37openalex-snapshot

A GPGPU Transparent Virtualization Component for High Performance Computing Clouds

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Astronomy in the Cloud: Using MapReduce for Image Co-Addition

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The Eucalyptus Open-Source Cloud-Computing System

inferredcites →https://doi.org/10.1109/escience.2008.82openalex-snapshot

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inferredcites →https://doi.org/10.1109/grid.2009.5353067openalex-snapshot

A quantitative analysis of high performance computing with Amazon's EC2 infrastructure: The death of the local cluster?

inferredcites →https://doi.org/10.1109/hpcc.2008.38openalex-snapshot

Scientific Cloud Computing: Early Definition and Experience

inferredcites →https://doi.org/10.1109/ipdps.2009.5161020openalex-snapshot

vCUDA: GPU accelerated high performance computing in virtual machines

inferredcites →https://doi.org/10.1109/mcom.2006.1607870openalex-snapshot

DRAGON: a framework for service provisioning in heterogeneous grid networks

inferredcites →https://doi.org/10.1109/sc.2008.5217932openalex-snapshot

The cost of doing science on the cloud: The Montage example

inferredcites →https://doi.org/10.1145/1566445.1566492openalex-snapshot

A study of a KVM-based cluster for grid computing

inferredcites →https://doi.org/10.1155/2005/128026openalex-snapshot

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The cost of doing science on the cloud: the Montage example

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Towards Abstraction of Heterogeneous Accelerators for HPC/AI Tasks in the Cloud

inferred← citeshttps://doi.org/10.1109/cloudtech.2018.8713333openalex-snapshot

Heterogeneous Cloud Computing: Design Methodology to Combine Hardware Accelerators

inferred← citeshttps://doi.org/10.1109/cluster.2013.6702679openalex-snapshot

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VM Placement in Accelerator-Equipped Data Centers Using Variable-Length Modified Genetic Algorithm

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Multi-Resource VNF Deployment in a Heterogeneous Cloud

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Budget-Driven Scheduling Algorithms for Batches of MapReduce Jobs in Heterogeneous Clouds

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SLA-Based Resource Provisioning for Hosted Software-as-a-Service Applications in Cloud Computing Environments

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EAR-ABAC: An Extended AR-ABAC Access Control Model for SDN-Integrated Cloud Computing

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