A progressive multi-layer resource reconfiguration framework for time-shared grid systems
Future Generation Computer Systems
Service Oriented Approach to High Performance Scientific Computing
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Supporting malleability in parallel architectures with dynamic CPUSETs mapping and dynamic MPI
ICDCN'10 Proceedings of the 11th international conference on Distributed computing and networking
Elastic phoenix: malleable mapreduce for shared-memory systems
NPC'11 Proceedings of the 8th IFIP international conference on Network and parallel computing
Towards scheduling evolving applications
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Malleable Model Coupling with Prediction
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
A job scheduling approach for multi-core clusters based on virtual malleability
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
| Hi-index | 0.00 |
Malleability enables a parallel application's execution system to split or merge processes modifying granularity. While process migration is widely used to adapt applications to dynamic execution environments, it is limited by the granularity of the application's processes. Malleability empowers process migration by allowing the application's processes to expand or shrink following the availability of resources. We have implemented malleability as an extension to the PCM (Process Checkpointing and Migration) library, a user-level library for iterative MPI applications. PCM is integrated with the Internet Operating System (IOS), a framework for middleware-driven dynamic application reconfiguration. Our approach requires minimal code modifications and enables transparent middlewaretriggered reconfiguration. Experimental results using a two-dimensional data parallel program that has a regular communication structure demonstrate the usefulness of malleability.