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Checkpointing is an important method for providing fault tolerance, load balancing, process migration, periodic backup, and many other functions. It is also the basic tool used in CAPE, a paradigm which aims at distributing the execution of a program on a distributed-memory environment. This paper presents a new approach to checkpoint and an original(More)
Originally, OpenMP was designed to develop parallel applications on shared-memory architectures. One of the advantages that made the success of OpenMP is the simplicity of the associated programming model. Check pointing Aided Parallel Execution (CAPE) is a paradigm that uses check pointing techniques to run parallel programs on distributed-memory(More)
Checkpointing Aided Parallel Execution (CAPE) is a paradigm using checkpointing technique to distribute sequential programs equipped with OpenMP directives in distributed systems. In its first prototype, the use of a complete checkpointer strongly decreased global performance. This paper shows how the performance of the CAPE paradigm have been improved(More)
MPI (Message Passing Interface), OpenMP are two tools broadly used to develop parallel programs. On the one hand, MPI has the advantage of high performance while being difficult to use. On the other hand, OpenMP is very easy to use but is restricted to shared-memory architectures. CAPE is an approach based on checkpoints to allow the execution of OpenMP(More)
CAPE (Checkpointing-Aide Parallel Execution) is an approach tried to port OpenMP programs on distributed memory architectures like Cluster, Grid or Cloud systems. It provides a set of prototypes and functions to translate automatically and execute OpenMP program on distributed memory systems based on the checkpointing techniques. This solution has shown(More)
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