Paper Info
Title
Performance evaluation of automatic checkpoint-based fault tolerance for AMPI and Charm++
Abstract
As the size of high performance clusters multiplies, the probability of system failure grows substantially, posing an increasingly significant challenge for scalability. Checkpoint-based fault tolerance methods are effective approaches at dealing with faults. With these methods, the state of the entire parallel application is checkpointed to reliable storage. When a fault occurs, the application is restarted from a recent checkpoint. However, the application developer is required to write significant additional code for checkpointing and restarting. This paper describes disk-based and memory-based checkpointing fault tolerance schemes that automate the task of checkpointing and restarting. The schemes also allow the program to be restarted on a different number of processors. These schemes are based on self-checkpointable, migratable objects supported by the Adaptive MPI (AMPI) and Charm++ run-time and can be applied to a wide class of applications written using MPI or message-driven languages. We demonstrate the effectiveness of the strategies and evaluate their performance.
Year
DOI
Venue
2006
10.1145/1131322.1131340
Operating Systems Review
Keywords
Field
DocType
application developer,automatic checkpoint-based fault tolerance,effective approach,significant challenge,memory-based checkpointing fault tolerance,checkpoint-based fault tolerance method,different number,adaptive mpi,performance evaluation,significant additional code,high performance clusters multiplies,entire parallel application,application development,fault tolerant
Computer science,Parallel computing,Real-time computing,Fault tolerance,Message Passing Interface,Message passing,Distributed computing,Scalability
Journal
Volume
Issue
Citations 
40
2
14
PageRank 
References 
Authors
0.84
13
3
Name
Order
Citations
PageRank
Gengbin Zheng182955.03
Chao Huang215410.09
Laxmikant V. Kale32871248.18