File storage systems are playing an increasingly important role in high-performance computing as the performance gap between CPU and disk increases. It could take a long time to develop an entire system from scratch. Solutions will have to be built as extensions to existing systems. If new portable, customized software components are plugged into these systems, better sustained high I/O performance and higher scalability will be achieved, and the development cycle of next-generation of parallel file systems will be shortened. The overall research objective of this ECPI development plan aims to develop a lightweight, customized, high-performance I/O management package named LightI/O to extend and leverage current parallel file systems used b...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Input/output (I/O) operations can represent a significant proportion of the run-time when large scie...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Our group has been working with ANL collaborators on the topic âbridging the gap between parallel ...
The ever-increasing gap in performance between CPU/memory technologies and the I/O subsystem (disks,...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
The ever-increasing gap in performance between CPU/memory technologies and the I/O subsystem (disks,...
The POSIX interface does not lend itself well to enabling good performance for high-end applications...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
A critical but often ignored component of system performance is the I/O system. Today's applications...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Input/output (I/O) operations can represent a significant proportion of the run-time when large scie...
As parallel computers are increasingly used to run scientific applications with large data sets, and...
Our group has been working with ANL collaborators on the topic âbridging the gap between parallel ...
The ever-increasing gap in performance between CPU/memory technologies and the I/O subsystem (disks,...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
The ever-increasing gap in performance between CPU/memory technologies and the I/O subsystem (disks,...
The POSIX interface does not lend itself well to enabling good performance for high-end applications...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Abstract—Today’s computational science demands have re-sulted in ever larger parallel computers, and...
A critical but often ignored component of system performance is the I/O system. Today's applications...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
Input/Output (I/O) operations can represent a significant proportion of run-time when large scientif...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
Current I/O stack for high-performance computing is composed of multiple software layers in order to...
Input/output (I/O) operations can represent a significant proportion of the run-time when large scie...
As parallel computers are increasingly used to run scientific applications with large data sets, and...