Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significant changes in performance due to complex interactions between hardware and software. These issues call for sophisticated tools to capture, analyze, understand, and tune application I/O. In this paper, we highlight advances in monitoring tools to help address these issues. We also describe best practices, identify issues in measure- ment and analysis, and provide practical approaches to translate parallel I/O analysis into actionable outcomes for users, facility operators, and researchers
Using parallel file systems efficiently is a tricky problem due to inter-dependencies among multiple...
. The broadening disparity in the performance of input/output (I/O) devices and the performance of p...
The 2014 TOP500 supercomputer list includes over 40 deployed petascale systems, and the high perform...
Parallel application I/O performance often does not meet user expectations. Additionally, slight acc...
Efficient usage of file systems poses a major challenge for highly scalable parallel applications. T...
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 when large scie...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
I/O efficiency is essential to productivity in scientific computing, especially as many scientific d...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
This thesis presents a contribution to the field of performance analysis for Input/Output (I/O) rela...
HPC applications with suboptimal I/O behavior interfere with well-behaving applications and lead to...
The e cient use of high performance computing is usually focused on the use of computational resourc...
Abstract. Efficient execution of parallel scientific applications requires high-performance storage ...
The CPUs, memory, interconnection network, operating system, runtime system, I/O subsystem, and appl...
Using parallel file systems efficiently is a tricky problem due to inter-dependencies among multiple...
. The broadening disparity in the performance of input/output (I/O) devices and the performance of p...
The 2014 TOP500 supercomputer list includes over 40 deployed petascale systems, and the high perform...
Parallel application I/O performance often does not meet user expectations. Additionally, slight acc...
Efficient usage of file systems poses a major challenge for highly scalable parallel applications. T...
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 when large scie...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
I/O efficiency is essential to productivity in scientific computing, especially as many scientific d...
Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel sci...
This thesis presents a contribution to the field of performance analysis for Input/Output (I/O) rela...
HPC applications with suboptimal I/O behavior interfere with well-behaving applications and lead to...
The e cient use of high performance computing is usually focused on the use of computational resourc...
Abstract. Efficient execution of parallel scientific applications requires high-performance storage ...
The CPUs, memory, interconnection network, operating system, runtime system, I/O subsystem, and appl...
Using parallel file systems efficiently is a tricky problem due to inter-dependencies among multiple...
. The broadening disparity in the performance of input/output (I/O) devices and the performance of p...
The 2014 TOP500 supercomputer list includes over 40 deployed petascale systems, and the high perform...