Abstract. I/O intensive applications have posed great challenges to computational scientists. A major problem of these applications is that users have to sacrifice performance requirements in order to satisfy storage capacity requirements in a conventional computing environment. Further performance improvement is impeded by the physical nature of these storage media even when state-of-the-art I/O optimizations are employed. In this paper, we present a distributed multi-storage resource architecture, which can satisfy both performance and capacity requirements by employing multiple storage resources. Compared to a traditional single storage resource architecture, our architecture provides a more flexible and reliable computing environment. T...
Many large-scale scientific simulations generate large, structured multi-dimensional datasets. Data ...
Many scientific applications have large I/O requirements, in terms of both the size of data and the ...
Abstract—Effective high-level data management is becoming an important issue with more and more scie...
More and more parallel applications are running in a distributed environment to take advantage of ea...
The area of parallel and distributed computing has grown very fast in the past few decades with the ...
Parallel computing is indisputably present in the future of high performance computing. For distribu...
This dissertation focuses on supporting the provisioning and configuration of distributed storage sy...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
As high-performance computing approaches exascale, the existing I/O system design is having trouble ...
Computing systems are becoming increasingly data-intensive because of the explosion of data and the ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Traditionally storage has not been part of a programming model’s semantics and is added only as an I...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
There has been a great deal of recent interest in parallel I/O. This paper discusses issues in the d...
Efficient usage of file systems poses a major challenge for highly scalable parallel applications. T...
Many large-scale scientific simulations generate large, structured multi-dimensional datasets. Data ...
Many scientific applications have large I/O requirements, in terms of both the size of data and the ...
Abstract—Effective high-level data management is becoming an important issue with more and more scie...
More and more parallel applications are running in a distributed environment to take advantage of ea...
The area of parallel and distributed computing has grown very fast in the past few decades with the ...
Parallel computing is indisputably present in the future of high performance computing. For distribu...
This dissertation focuses on supporting the provisioning and configuration of distributed storage sy...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
As high-performance computing approaches exascale, the existing I/O system design is having trouble ...
Computing systems are becoming increasingly data-intensive because of the explosion of data and the ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Traditionally storage has not been part of a programming model’s semantics and is added only as an I...
Getting good I/O performance from parallel programs is a critical problem for many application domai...
There has been a great deal of recent interest in parallel I/O. This paper discusses issues in the d...
Efficient usage of file systems poses a major challenge for highly scalable parallel applications. T...
Many large-scale scientific simulations generate large, structured multi-dimensional datasets. Data ...
Many scientific applications have large I/O requirements, in terms of both the size of data and the ...
Abstract—Effective high-level data management is becoming an important issue with more and more scie...