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Predicting protein mutant stability changes is important for protein design. Although many methods have tried to improve prediction accuracy by various models, it will be difficult to employ them when the required input information is incomplete. Therefore, we have proposed a fuzzy query method previously to predict stability changes upon single mutations using partial input information. However,...
Recently, more and more studies investigated the is-sue of dealing with the heterogeneity problem on heterogeneous cluster systems consisting of multi-core computing nodes. Previously we have proposed a hybrid MPI and OpenMP based loop self-scheduling approach for this kind of system. The allocation functions of several well-known schemes have been modified for better performance. Though the previous...
Multicore computers have been widely included in cluster systems. They are shared memory architecture. However, previous research on parallel loop self-scheduling did not consider the feature of multicore computers. It is more suitable for shared-memory multiprocessors to adopt OpenMP for parallel programming. Therefore, in this paper, we propose to adopt hybrid programming model MPI+OpenMP to design...
This work mainly aims at the designs of the genetic algorithm based scheduling strategies by considering four different fault tolerance techniques in the grid environment, including retry, migration, checkpoint, replication. We also take into account the risk relationship between jobs and nodes to improve the system reliability in the scheduling algorithm. According to the simulation results, we can...
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