Quality assurance for clusters: acceptance-, stress-, and burn-in tests for general purpose clusters

Authors:
Matthias S. Müller;Guido Juckeland;Matthias Jurenz;Michael Kluge
Affiliations:
Technische Universität Dresden, Center for Information Services and High Performance Computing, Dresden, Germany;Technische Universität Dresden, Center for Information Services and High Performance Computing, Dresden, Germany;Technische Universität Dresden, Center for Information Services and High Performance Computing, Dresden, Germany;Technische Universität Dresden, Center for Information Services and High Performance Computing, Dresden, Germany
Venue:
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
Year:
2007

Citing 8
Cited 0

the LINPACK benchmark: an explanation

Proceedings of the 1st International Conference on Supercomputing
In search of clusters (2nd ed.)

In search of clusters (2nd ed.)
High Performance Cluster Computing: Architectures and Systems

High Performance Cluster Computing: Architectures and Systems
NPACI Rocks: Tools and Techniques for Easily Deploying Manageable Linux Clusters

CLUSTER '01 Proceedings of the 3rd IEEE International Conference on Cluster Computing
Testing the Correctness of MPI Implementations

ISPDC '06 Proceedings of the Proceedings of The Fifth International Symposium on Parallel and Distributed Computing
The linux BIOS

ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
SPEC HPG benchmarks for high-performance systems

International Journal of High Performance Computing and Networking
Large System Performance of SPEC OMP2001 Benchmarks

ISHPC '02 Proceedings of the 4th International Symposium on High Performance Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Although common sense says that all nodes of a cluster should behave identically since they consist of exactly the same hardware parts and are running the same software, experience tells otherwise. We present a collection of programs and tools that were gathered over several years during various cluster installations at different sites with clusters from various vendors. The collection contains programs to check for the setup, functionality, and performance of clusters. Components like CPU, memory, disk, network, MPI and file system are checked. Together with the short description of the tools we describe our experiences using them.