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您的检索式：作者名="Philip Carns"
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| 1 | A New Energy Optimizing Control Strategy for Switched Reluctance Motors显示文摘 | Philip Carne Kjaer Peter Nielsen Lars Andersen | 1995 | IEEE Transactions on Industry Application1995，31，5： | 1 |
| 2 | Ad Hoc File Systems for High-Performance Computing显示文摘Storage backends of parallel compute clusters are still based mostly on magnetic disks,while newer and faster storage technologies such as flash-based SSDs or non-volatile random access memory(NVRAM)are deployed within compute nodes.Including these new storage technologies into scientific workflows is unfortunately today a mostly manual task,and most scientists therefore do not take advantage of the faster storage media.One approach to systematically include nodelocal SSDs or NVRAMs into scientific workflows is to deploy ad hoc file systems over a set of compute nodes,which serve as temporary storage systems for single applications or longer-running campaigns.This paper presents results from the Dagstuhl Seminar 17202'Challenges and Opportunities of User-Level File Systems for HPC'and discusses application scenarios as well as design strategies for ad hoc file systems using node-local storage media.The discussion includes open research questions,such as how to couple ad hoc file systems with the batch scheduling environment and how to schedule stage-in and stage-out processes of data between the storage backend and the ad hoc file systems.Also presented are strategies to build ad hoc file systems by using reusable components for networking and how to improve storage device compatibility.Various interfaces and semantics are presented,for example those used by the three ad hoc file systems BeeOND,GekkoFS,and BurstFS.Their presentation covers a range from file systems running in production to cutting-edge research focusing on reaching the performance limits of the underlying devices. | AndréBrinkmann Kathryn Mohror Weikuan Yu Philip Carns Toni Cortes Scott A.Klasky Alberto Miranda Franz-Josef Pfreundt Robert B.Ross Marc-AndréVef | 2020 | Journal of Computer Science & Technology2020，35，1： | 0 |
| 3 | Mochi: Composing Data Services for High-Performance Computing Environments显示文摘Technology enhancements and the growing breadth of application workflows running on high-performance computing(HPC)platforms drive the development of new data services that provide high performance on these new platforms,provide capable and productive interfaces and abstractions for a variety of applications,and are readily adapted when new technologies are deployed.The Mochi framework enables composition of specialized distributed data services from a collection of connectable modules and subservices.Rather than forcing all applications to use a one-size-fits-all data staging and I/O software configuration,Mochi allows each application to use a data service specialized to its needs and access patterns.This paper introduces the Mochi framework and methodology.The Mochi core components and microservices are described.Examples of the application of the Mochi methodology to the development of four specialized services are detailed.Finally,a performance evaluation of a Mochi core component,a Mochi microservice,and a composed service providing an object model is performed.The paper concludes by positioning Mochi relative to related work in the HPC space and indicating directions for future work. | Robert BRoss George Amvrosiadis Philip Carns Charles DCranor Matthieu Dorier Kevin Harms Greg Ganger Garth Gibson Samuel KGutierrez Robert Latham Bob Robey Dana Robinson Bradley Settlemyer Galen Shipman Shane Snyder Jerome Soumagne Qing Zheng | 2020 | Journal of Computer Science & Technology2020，35，1： | 0 |
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