Processing large-scale multi-dimensional data in parallel and distributed environments
Parallel Computing - Parallel data-intensive algorithms and applications
Large-Scale Scientific Irregular Computing on Clusters and Grids
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Efficient Manipulation of Large Datasets on Heterogeneous Storage Systems
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Parallel I/O Support for HPF on Computational Grids
ISHPC '02 Proceedings of the 4th International Symposium on High Performance Computing
Active Proxy-G: optimizing the query execution process in the grid
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Executing multiple pipelined data analysis operations in the grid
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
An integrated experimental environment for distributed systems and networks
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
A component-based implementation of multiple sequence alignment
Proceedings of the 2003 ACM symposium on Applied computing
Optimizing the Execution of Multiple Data Analysis Queries on Parallel and Distributed Environments
IEEE Transactions on Parallel and Distributed Systems
Use of PVFS for Efficient Execution of Jobs with Pipeline-Shared I/O
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Optimizing Reduction Computations In a Distributed Environment
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
A Services Oriented Framework for Next Generation Data Analysis Centers
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 10 - Volume 11
An integrated experimental environment for distributed systems and networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Improving Data Access for Computational Grid Applications
Cluster Computing
A global and parallel file system for grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Toward automatic parallelization of spatial computation for computing clusters
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Algorithms for memory hierarchies: advanced lectures
Algorithms for memory hierarchies: advanced lectures
Driving scientific applications by data in distributed environments
ICCS'03 Proceedings of the 2003 international conference on Computational science
Security requirements model for grid data management systems
CRITIS'06 Proceedings of the First international conference on Critical Information Infrastructures Security
A new i/o architecture for improving the performance in large scale clusters
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
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High-performance distributed computing appears to be shifting away from tightly-connected supercomputers to "computational grids" composed of heterogeneous systems of networks, computers, storage devices, and various other devices that collectively act as a single geographically distributed "virtual" computer. One of the great challenges for this environment is providing efficient parallel data access to remote distributed datasets. In this paper, we discuss some of the issues associated with parallel I/O and computatational grids and describe the design of a flexible parallel file system that allows the application to control the behavior and functionality of virtually all aspects of the file system.