Transparent access to Grid resources for user software

Klous, S.; Frey, Jaime; Son, Sechang; Thain, Douglas; Roy, Alain; Livny, Miron; Brand, J. van den

doi:10.1002/cpe.961

Cited by 8 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Running such codes in a grid environment requires a level of virtualization that emulates the machine for which the codes once had been written, including processor architecture, operating system, and file system layouts. Different approaches have been proposed to achieve this goal [5,17].…”

Section: Types Of Grid Programs and Their Programming Environmentsmentioning

confidence: 99%

Programming Models for Grid Applications and Systems: Requirements and Approaches

Kielmann

2006

IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)

View full text Add to dashboard Cite

History repeats itself. Since the invention of the programmable computer, numerous computer scientists keep dedicating their professional lives to the design of "the single, best" programming model, whereas programmers "vote" by choosing their favourite languages and tools.Interestingly, these choices have always been guided by non-functional properties. For programming a single computer, the most widely used models have become objectoriented and component-based programming, a choice driven by their high abstraction level, leading to high programmer productivity. For parallel computers, the winner turned out to be message passing, providing by far not the highest-possible abstraction level, but the closest match between machine architecture and programming model, leading to efficient program execution.For grids, the race is still open. Here, additional nonfunctional properties like fault-tolerance, security, and platform independence enter the scene. In this paper, we explore the scope of grid programming problems and argue for a palette of programming abstractions, each suitable for its respective problem domain.

show abstract

Section: Types Of Grid Programs and Their Programming Environmentsmentioning

confidence: 99%

Programming Models for Grid Applications and Systems: Requirements and Approaches

Kielmann

2006

IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)

View full text Add to dashboard Cite

show abstract

“…Front-ends may employ Filesystem in USEr space (FUSE) and/or Parrot [18,28]. Both allow the datastore to leverage iRODS and/or filesystems.…”

Section: Posix-like Filesystem Accessmentioning

confidence: 99%

The Back-End of a Two-Layer Model for a Federated National Datastore for Academic Research VOs that Integrates EGEE Data Management

et al. 2010

View full text Add to dashboard Cite

This paper proposes an architecture for the back-end of a federated national datastore for use by academic research communities, developed by the e-INIS (Irish National e-InfraStructure) project, and describes in detail one member of the federation, the regional datastore at Trinity College Dublin. It builds upon existing infrastructure and services, including Grid-Ireland, the National Grid Initiative and EGEE, Europe's leading Grid infrastructure. It assumes users are in distinct research communities and that their data access patterns can be described via two properties, denoted as mutability and frequency-of-access. The architecture is for a back-end-individual academic communities are best qualified to define their own front-end services and user interfaces. The proposal is designed to facilitate front-end development by placing minimal restrictions on how the front-end is implemented and on the internal community security policies. The proposal also seeks to ensure that the communities are insulated from the back-end and from each other in order to ensure quality of service and to decouple their front-end implementation from site-specific backend implementations.

show abstract

“…For now, we implement the Grid Engine as a stub. We will need to add a mechanism into the Grid Engine to access HPC technology transparently in a way reported by Klous, et al 10) . Also, our implemented system is command-line based only.…”

Section: Fig 10mentioning

confidence: 99%

Analytic Space Management for Drug Design Application

Maéno

Date

Kido

et al. 2006

ipsjdc

View full text Add to dashboard Cite

Demands on efficient drug design have been increasing with the advancement of computing technology and bioinformatics. A variety of information technologies pertaining to drug design have been proposed recently and such technology mostly contributes to drug design research. Molecular docking simulation is a promising application for drug design, and can be realized with current information technology. However although docking simulation and the related information technology have advanced in recent years, scientists still have difficulty finding a suitable parameter set of docking simulations for accuracy of simulation. The parametertuning step takes a long time, and existing computing technology can hardly assist in this step. This is because the parameter-tuning step involves factors that are difficult to automate with computers. In this paper, we propose a new architecture for assisting procedures that require the decisions of scientists, especially when they need to tune parameters in a docking simulation.

show abstract

Transparent access to Grid resources for user software

Cited by 8 publications

References 6 publications

Programming Models for Grid Applications and Systems: Requirements and Approaches

Programming Models for Grid Applications and Systems: Requirements and Approaches

The Back-End of a Two-Layer Model for a Federated National Datastore for Academic Research VOs that Integrates EGEE Data Management

Analytic Space Management for Drug Design Application

Contact Info

Product

Resources

About