Darshan is a set of libraries that can characterize MPI-IO and POSIX file access within typical HPC applications in a nonintrusive way. It can be used to investigate I/O behavior of a MPI-program. An application’s I/O behavior can easily be an obstacle to achieving petascale performance. Hence, to be able to characterize the I/O of a HPC-application is an important step on the path to develop scaling properties. Darshan have been used on selected applications from task 7.1 and 7.2. This whitepaper describes the work carried out and the results achieved
Competing workloads on a shared storage system cause I/O resource contention and application perform...
Efficient usage of file systems poses a major challenge for highly scalable parallel applications. T...
With the exponential growth of high-fidelity sensor and simulated data, the scientific community is ...
As modern supercomputers evolve to exascale, their I/O subsystems are becoming increasingly com...
Benchmarking and analyzing I/O performance across high performance computing (HPC) platforms is nece...
Abstract—I/O has become one of the determining factors of HPC application performance. Understanding...
The complex software and hardware I/O stack of HPC platforms makes it challenging for end-users to o...
Combining the strengths of MPIProf and IOT, an efficient and systematic method is devised for I/O ch...
Adoption of HPC resources presents unique challenges for data-driven workloads at scale. With the in...
Beside the computational scalability of an HPC application, its I/O behaviour can significantly infl...
The 2014 TOP500 supercomputer list includes over 40 deployed petascale systems, and the high perform...
The purpose of this report is to investigate parallel I/O on HPCx, to compare its performance with s...
Using parallel file systems efficiently is a tricky problem due to inter-dependencies among multiple...
Parallelisation, serial optimisation, compiler tuning, and many more techniques are used to optimise...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
Competing workloads on a shared storage system cause I/O resource contention and application perform...
Efficient usage of file systems poses a major challenge for highly scalable parallel applications. T...
With the exponential growth of high-fidelity sensor and simulated data, the scientific community is ...
As modern supercomputers evolve to exascale, their I/O subsystems are becoming increasingly com...
Benchmarking and analyzing I/O performance across high performance computing (HPC) platforms is nece...
Abstract—I/O has become one of the determining factors of HPC application performance. Understanding...
The complex software and hardware I/O stack of HPC platforms makes it challenging for end-users to o...
Combining the strengths of MPIProf and IOT, an efficient and systematic method is devised for I/O ch...
Adoption of HPC resources presents unique challenges for data-driven workloads at scale. With the in...
Beside the computational scalability of an HPC application, its I/O behaviour can significantly infl...
The 2014 TOP500 supercomputer list includes over 40 deployed petascale systems, and the high perform...
The purpose of this report is to investigate parallel I/O on HPCx, to compare its performance with s...
Using parallel file systems efficiently is a tricky problem due to inter-dependencies among multiple...
Parallelisation, serial optimisation, compiler tuning, and many more techniques are used to optimise...
High performance computing (HPC) is changing the way science is performed in the 21st Century; exper...
Competing workloads on a shared storage system cause I/O resource contention and application perform...
Efficient usage of file systems poses a major challenge for highly scalable parallel applications. T...
With the exponential growth of high-fidelity sensor and simulated data, the scientific community is ...