Fingerprinting Communication and Computation on HPC Machines
How do we identify what is actually running on high-performance computing systems? Names of binaries, dynamic libraries loaded, or other elements in a submission to a batch queue can give clues, but binary names can be changed, and libraries provide limited insight and resolution on the code being run. In this paper, we present a method for"fingerprinting" code running on HPC machines using elements of communication and computation. We then discuss how that fingerprint can be used to determine if the code is consistent with certain other types of codes, what a user usually runs, or what the user requested an allocation to do. In some cases, our techniques enable us to fingerprint HPC codes using runtime MPI data with a high degree of accuracy.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- Computational Research Division
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 983323
- Report Number(s):
- LBNL-3483E; TRN: US201014%%610
- Country of Publication:
- United States
- Language:
- English
Similar Records
...And Eat it Too: High Read Performance in Write-Optimized HPC I/O Middleware File Formats
Balancing Performance and Portability with Containers in HPC: An OpenSHMEM Example