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Enabling the execution of HPC applications on public clouds with HPC@Cloud toolkit

https://doi.org/10.1002/cpe.7976
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What this work says

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

inferredcites →https://doi.org/10.1002/cpe.5668openalex-snapshot
The state‐of‐the‐art in container technologies: Application, orchestration and security
inferredcites →https://doi.org/10.1007/978-981-16-5559-3_21openalex-snapshot
Adoption of Docker Containers as an Infrastructure for Deploying Software Applications: A Review
inferredcites →https://doi.org/10.1016/j.future.2013.01.014openalex-snapshot
A unified framework for the deployment, exposure and access of HPC applications as services in clouds
inferredcites →https://doi.org/10.1016/j.infsof.2018.12.004openalex-snapshot
A systematic mapping study of infrastructure as code research
inferredcites →https://doi.org/10.1088/1742-6596/46/1/067openalex-snapshot
Berkeley lab checkpoint/restart (BLCR) for Linux clusters
inferredcites →https://doi.org/10.1109/hpec.2019.8916436openalex-snapshot
Using Container Migration for HPC Workloads Resilience
inferredcites →https://doi.org/10.1109/ist50524.2020.9345896openalex-snapshot
A Reliability Aware Algorithm for Workflow Scheduling on Cloud Spot Instances Using Artificial Neural Network
inferredcites →https://doi.org/10.1109/scc.2017.14openalex-snapshot
On Estimating Bids for Amazon EC2 Spot Instances Using Time Series Forecasting
inferredcites →https://doi.org/10.1109/tcc.2021.3125426openalex-snapshot
Scheduling Bag-of-Tasks in Clouds Using Spot and Burstable Virtual Machines
inferredcites →https://doi.org/10.1109/tpds.2021.3134644openalex-snapshot
FarSpot: Optimizing Monetary Cost for HPC Applications in the Cloud Spot Market
inferredcites →https://doi.org/10.1145/1953611.1953615openalex-snapshot
Ghost Cell Pattern
inferredcites →https://doi.org/10.1145/2600212.2600226openalex-snapshot
Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2
inferredcites →https://doi.org/10.1145/3147213.3147231openalex-snapshot
Is Singularity-based Container Technology Ready for Running MPI Applications on HPC Clouds?
inferredcites →https://doi.org/10.1145/3150224openalex-snapshot
HPC Cloud for Scientific and Business Applications
inferredcites →https://doi.org/10.1145/3241737openalex-snapshot
A Manifesto for Future Generation Cloud Computing
inferredcites →https://doi.org/10.1145/3311790.3396659openalex-snapshot
Reproducible and Portable Workflows for Scientific Computing and HPC in the Cloud
inferredcites →https://doi.org/10.1145/3447545.3451183openalex-snapshot
10 Years Later: Cloud Computing is Closing the Performance Gap
inferredcites →https://doi.org/10.1177/109434209100500306openalex-snapshot
The NAS Parallel Benchmarks
inferredcites →https://doi.org/10.1371/journal.pone.0177459openalex-snapshot
Singularity: Scientific containers for mobility of compute
inferredcites →https://doi.org/10.14257/ijgdc.2013.6.5.09openalex-snapshot
Cloud Computing Pricing Models: A Survey
inferredcites →https://doi.org/10.22456/2175-2745.106794openalex-snapshot
Cloud infrastructure for HPC investment analysis
inferredcites →https://doi.org/10.3126/jnphyssoc.v6i2.34858openalex-snapshot
Numerical Solution of Parabolic Partial Differential Equation by Using Finite Difference Method
inferredcites →https://doi.org/10.4018/jgim.287610openalex-snapshot
Efficiency or Innovation?
inferredcites →https://doi.org/10.5753/wscad.2022.226528openalex-snapshot
HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms
inferredcites →https://doi.org/10.6028/nist.sp.800-145openalex-snapshot
The NIST definition of cloud computing

What points at this work

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

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Prediction of Network Public Opinion Evolution Trends in Emergent Hot Events
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Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations
inferred← citeshttps://doi.org/10.1002/cpe.70847openalex-snapshot
Evaluating Paramount Iterations as a Performance Proxy for High Performance Computing Applications in the Cloud
inferred← citeshttps://doi.org/10.1007/978-3-031-75144-8_12openalex-snapshot
Migration from On-Premises to Cloud: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1007/s11227-025-07685-xopenalex-snapshot
Performance, portability, productivity, and security in HPC cloud: a systematic literature review
inferred← citeshttps://doi.org/10.1016/b978-0-443-49253-2.00015-5openalex-snapshot
Cloud and HPC platforms for molecular docking and simulation
inferred← citeshttps://doi.org/10.1016/j.apmt.2024.102371openalex-snapshot
A bibliometric review on application of machine learning in additive manufacturing and practical justification
inferred← citeshttps://doi.org/10.1109/ic2e65552.2025.00009openalex-snapshot
Task-Based HPC in the Cloud: Price-Performance Analysis of N-Body Simulations with StarPU
inferred← citeshttps://doi.org/10.1109/sbac-padw69789.2025.00020openalex-snapshot
Performance and Cost Analysis of AWS Burstable Instances for HPC with NAS Parallel Benchmarks
inferred← citeshttps://doi.org/10.1186/s13677-026-00883-9openalex-snapshot
Seamless transitions: a comprehensive review of live migration technologies
inferred← citeshttps://doi.org/10.2139/ssrn.6022930openalex-snapshot
Analytical Modeling and System Design of an HPC-Aware Virtual Execution Layer for Modern Cloud Systems
inferred← citeshttps://doi.org/10.5753/eradrs.2025.6397openalex-snapshot
Avaliação Preliminar do Desempenho e Custo Financeiro de Aplicações de HPC em clusters de Instâncias Burstable da AWS
inferred← citeshttps://doi.org/10.5753/pesquisanuvem.2026.21947openalex-snapshot
Rumo a uma HPC Sustentável na AWS: Gestão de Clusters, Workflows Científicos Serverless e Análise de Desempenho
inferred← citeshttps://doi.org/10.5753/sblp.2024.3470openalex-snapshot
Cloud-based parallel computing across multiple clusters in Julia
inferred← citeshttps://doi.org/10.5753/sscad.2024.244405openalex-snapshot
Performance Evaluation of Dense Linear Algebra Kernels using Chameleon and StarPU on AWS
inferred← citeshttps://doi.org/10.5753/sscad.2025.15722openalex-snapshot
Implementação de Tolerância a Falhas no Método Lattice Boltzmann para Execução Resiliente em Instâncias Efêmeras da AWS
inferred← citeshttps://doi.org/10.5753/sscad.2025.15831openalex-snapshot
Performance Evaluation of N-Body Simulations on AWS with StarPU, OpenMP and MPI Runtime Systems
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