Name
Title | ||
|---|---|---|
Characterizing and predicting the I/O performance of HPC applications using a parameterized synthetic benchmark |
Abstract | ||
|---|---|---|
The unprecedented parallelism of new supercomputing platforms poses tremendous challenges to achieving scalable performance for I/O intensive applications. Performance assessments using traditional I/O system and component benchmarks are difficult to relate back to application I/O requirements. However, the complexity of full applications motivates development of simpler synthetic I/O benchmarks as proxies to the full application. In this paper we examine the I/O requirements of a range of HPC applications and describe how the LLNL IOR synthetic benchmark was chosen as suitable proxy for the diverse workload. We show a procedure for selecting IOR parameters to match the I/O patterns of the selected applications and show it can accurately predict the I/O performance of the full applications. We conclude that IOR is an effective replacement for full-application I/O benchmarks and can bridge the gap of understanding that typically exists between stand-alone benchmarks and the full applications they intend to model. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/SC.2008.5222721 | SC |
Keywords | Field | DocType |
ior parameter,o intensive application,component benchmarks,hpc application,o system,i/o performance prediction,parallel programming,pattern matching,i/o pattern matching,input-output programs,o performance,high performance computing,computational complexity,supercomputing platform,unprecedented parallelism,o pattern,llnl ior synthetic benchmark,parameterized synthetic benchmark,stand-alone benchmarks,o requirement,o benchmarks,full application,servers,bandwidth,computer architecture,predictive models,benchmark testing | Parameterized complexity,Supercomputer,Computer science,Parallel computing,Server,Input/output,Benchmark (computing),Distributed computing,Computational complexity theory,Debugging,Scalability | Conference |
ISBN | Citations | PageRank |
978-1-4244-2835-9 | 61 | 2.76 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongzhang Shan | 1 | 445 | 45.98 |
| Katie Antypas | 2 | 134 | 10.41 |
| John Shalf | 3 | 2353 | 211.77 |