Implications of application usage characteristics for collective communication offload
International Journal of High Performance Computing and Networking
TupleQ: Fully-asynchronous and zero-copy MPI over InfiniBand
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
A scalable method for ab initio computation of free energies in nanoscale systems
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Implementation and usage of the PERUSE-Interface in open MPI
EuroPVM/MPI'06 Proceedings of the 13th European PVM/MPI User's Group conference on Recent advances in parallel virtual machine and message passing interface
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
A fast and resource-conscious MPI message queue mechanism for large-scale jobs
Future Generation Computer Systems
| Hi-index | 0.00 |
High Performance Computing systems are used on a regular basis to run a myriad of application codes, yet a surprising dearth of information exists with respect to communications characteristics. Even less information is available on the low-level communication libraries, such as the length of MPI Unexpected Message Queues (UMQs) and the length of time such messages spend in these queues. Such information is vital to developing appropriate strategies for handling such data at the library and system level. In this paper we present data on the communication characteristics of three applications GTC, LSMS, and S3D. We present data on the size of their UMQ, the time spend searching the UMQ and the length of time such messages spend in these queues. We find that for the particular inputs used, these applications have widely varying characteristics with regard to UMQ length and show patterns for specific applications which persist over various scales.