AbstractThe performance of computing devices is increasing day by day, the storage devices are not capable to reach with this benchmark. The compute and storage resources are forming two parts of the shared network. This paper is presenting a storage middleware called HyCache+ to reduce the high bi-section bandwidth of the parallel computing systems. The middleware uses Programmable Operating System (POSIX) interface to the end users to swap the data with the high capacity network attached storage. The system uses a 2-layer scheduling approach. The HyCache+ can be deployed on the IBM Blue Gene / P supercomputers for the performance comparison
Summarization: In the last decade, data processing systems started using main memory as much as poss...
textThis dissertation explores techniques for reducing the costs of inter-processor communication i...
CPU speeds are increasing at a much faster rate than secondary storage device speeds. Many importan...
Abstract—The ever-growing gap between the computation and I/O is one of the fundamental challenges f...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
The POSIX interface does not lend itself well to enabling good performance for high-end applications...
Abstract. I/O intensive applications have posed great challenges to computational scientists. A majo...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Recent advances in storage technologies and high performance interconnects have made possible in the...
ABSTRACT In this study, we propose an optimization strategy to promote a better integration of the p...
Data center storage systems of the future in Petabyte and Exabyte scale require very high performanc...
High performance computing has become one of the fundamental contributors to the progress of science...
Computing systems are becoming increasingly data-intensive because of the explosion of data and the ...
As the speed of microprocessors increases according to Moore's law, access speeds of the main memory...
International audienceThis poster presents the use of Damaris, an I/O middleware for post-petascale ...
Summarization: In the last decade, data processing systems started using main memory as much as poss...
textThis dissertation explores techniques for reducing the costs of inter-processor communication i...
CPU speeds are increasing at a much faster rate than secondary storage device speeds. Many importan...
Abstract—The ever-growing gap between the computation and I/O is one of the fundamental challenges f...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
The POSIX interface does not lend itself well to enabling good performance for high-end applications...
Abstract. I/O intensive applications have posed great challenges to computational scientists. A majo...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Recent advances in storage technologies and high performance interconnects have made possible in the...
ABSTRACT In this study, we propose an optimization strategy to promote a better integration of the p...
Data center storage systems of the future in Petabyte and Exabyte scale require very high performanc...
High performance computing has become one of the fundamental contributors to the progress of science...
Computing systems are becoming increasingly data-intensive because of the explosion of data and the ...
As the speed of microprocessors increases according to Moore's law, access speeds of the main memory...
International audienceThis poster presents the use of Damaris, an I/O middleware for post-petascale ...
Summarization: In the last decade, data processing systems started using main memory as much as poss...
textThis dissertation explores techniques for reducing the costs of inter-processor communication i...
CPU speeds are increasing at a much faster rate than secondary storage device speeds. Many importan...