Our group has been working with ANL collaborators on the topic âbridging the gap between parallel file system and local file systemâ during the course of this project period. We visited Argonne National Lab -- Dr. Robert Rossâs group for one week in the past summer 2007. We looked over our current project progress and planned the activities for the incoming years 2008-09. The PI met Dr. Robert Ross several times such as HEC FSIO workshop 08, SCâ08 and SCâ10. We explored the opportunities to develop a production system by leveraging our current prototype to (SOGP+PVFS) a new PVFS version. We delivered SOGP+PVFS codes to ANL PVFS2 group in 2008.We also talked about exploring a potential project on developing new parallel programming...
University of Minnesota Ph.D. dissertation. August 2015. Major: Computer Science. Advisor: David Du...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
File storage systems are playing an increasingly important role in high-performance computing as the...
This work provides software that enables scientific applications to more efficiently access availabl...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
The computational science community is approaching petascale level simulations that will produce mas...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Abstract. The technology advances made in supercomputers and high performance computing clusters ove...
High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range qui...
The computing power of high-performance computing (HPC) systems is increasing with a rapid growth in...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Recent years have seen an increasing number of Hybrid Scientific Applications. They often consist of...
Large scale simulations easily produce vast amounts of data that cannot always be evaluated in-situ....
University of Minnesota Ph.D. dissertation. August 2015. Major: Computer Science. Advisor: David Du...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
File storage systems are playing an increasingly important role in high-performance computing as the...
This work provides software that enables scientific applications to more efficiently access availabl...
Parallel input/output in high performance computing is a field of increasing importance. In particul...
The computational science community is approaching petascale level simulations that will produce mas...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Abstract. The technology advances made in supercomputers and high performance computing clusters ove...
High performance computing (HPC) has crossed the Petaflop mark and is reaching the Exaflop range qui...
The computing power of high-performance computing (HPC) systems is increasing with a rapid growth in...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Recent years have seen an increasing number of Hybrid Scientific Applications. They often consist of...
Large scale simulations easily produce vast amounts of data that cannot always be evaluated in-situ....
University of Minnesota Ph.D. dissertation. August 2015. Major: Computer Science. Advisor: David Du...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
As parallel computers are increasingly used to run scientific applications with large data sets, and...