High Performance I/O
(2011) 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2011) p.349-356- Abstract
- Parallelisation, serial optimisation, compiler tuning, and many more techniques are used to optimise and improve the performance scaling of parallel programs. One area which is frequently not optimised is file I/O. This is because it is often not considered to be key to the performance of a program and also because it is traditionally difficult to optimise and very machine specific. However, in the current era of Peta- and Exascale computing it is no longer possible to ignore I/O performance as it can significantly limit the scaling of many codes when executing on very large numbers of processors or cores. Furthermore, as producing data is the main purpose of most simulation codes any work that can be undertaken to provide improved... (More)
- Parallelisation, serial optimisation, compiler tuning, and many more techniques are used to optimise and improve the performance scaling of parallel programs. One area which is frequently not optimised is file I/O. This is because it is often not considered to be key to the performance of a program and also because it is traditionally difficult to optimise and very machine specific. However, in the current era of Peta- and Exascale computing it is no longer possible to ignore I/O performance as it can significantly limit the scaling of many codes when executing on very large numbers of processors or cores. Furthermore, as producing data is the main purpose of most simulation codes any work that can be undertaken to provide improved performance of I/0 can be applicable to a very large range of simulation codes, and provide them with improved functionality (i.e. the ability to produce more data).This paper describes some of the issues surrounding I/O, the technology that is commonly deployed to provide I/O on HPC machines and the software libraries available to programmers to undertake I/O. The performance of all these aspects of I/O on a range of HPC systems were investigated by the authors and a represented in this paper to motivate the discussions in the paper. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3809837
- author
- Jackson, Adrian ; Reid, Fiona ; Hein, Joachim LU ; Soba, Alejandro and Saez, Xavier
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- optimisation, input-output programs, Peta computing, high performance I/O, serial optimisation, compiler tuning, parallel programs, performance scaling, Exascale computing, File systems, Hardware, Program processors, Libraries, Optimization, Computational modeling, Servers, NetCDF, I/O, HPC, parallelisation, Lustre, GPFS, MPI-I/O, HDF5
- host publication
- Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on
- editor
- Cotronis, Yiannis ; Danelutto, Marco and Papadopoulos, George Angelos
- pages
- 8 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2011)
- conference location
- Ayia Napa, Cyprus
- conference dates
- 2011-02-09 - 2011-02-11
- external identifiers
-
- scopus:79954985940
- ISBN
- 9781424496822 (print)
- DOI
- 10.1109/PDP.2011.16
- language
- English
- LU publication?
- yes
- id
- a7d4f03f-3e07-4aa3-8d49-e684ac73bec0 (old id 3809837)
- alternative location
- http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5739034&tag=1
- date added to LUP
- 2016-04-04 12:14:36
- date last changed
- 2022-02-21 05:59:20
@inproceedings{a7d4f03f-3e07-4aa3-8d49-e684ac73bec0,
abstract = {{Parallelisation, serial optimisation, compiler tuning, and many more techniques are used to optimise and improve the performance scaling of parallel programs. One area which is frequently not optimised is file I/O. This is because it is often not considered to be key to the performance of a program and also because it is traditionally difficult to optimise and very machine specific. However, in the current era of Peta- and Exascale computing it is no longer possible to ignore I/O performance as it can significantly limit the scaling of many codes when executing on very large numbers of processors or cores. Furthermore, as producing data is the main purpose of most simulation codes any work that can be undertaken to provide improved performance of I/0 can be applicable to a very large range of simulation codes, and provide them with improved functionality (i.e. the ability to produce more data).This paper describes some of the issues surrounding I/O, the technology that is commonly deployed to provide I/O on HPC machines and the software libraries available to programmers to undertake I/O. The performance of all these aspects of I/O on a range of HPC systems were investigated by the authors and a represented in this paper to motivate the discussions in the paper.}},
author = {{Jackson, Adrian and Reid, Fiona and Hein, Joachim and Soba, Alejandro and Saez, Xavier}},
booktitle = {{Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on}},
editor = {{Cotronis, Yiannis and Danelutto, Marco and Papadopoulos, George Angelos}},
isbn = {{9781424496822 (print)}},
keywords = {{optimisation; input-output programs; Peta computing; high performance I/O; serial optimisation; compiler tuning; parallel programs; performance scaling; Exascale computing; File systems; Hardware; Program processors; Libraries; Optimization; Computational modeling; Servers; NetCDF; I/O; HPC; parallelisation; Lustre; GPFS; MPI-I/O; HDF5}},
language = {{eng}},
pages = {{349--356}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{High Performance I/O}},
url = {{http://dx.doi.org/10.1109/PDP.2011.16}},
doi = {{10.1109/PDP.2011.16}},
year = {{2011}},
}