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The solution by Nascimento et al. ([2012b]) does not aim to support multiple execution schemes.
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Multiple execution environments may be involved during the job execution including the scheduling system and the programming environment (e.g. MPI, MapReduce).
Execution of these instructions always consist of multiple execution stages.
With respect to the execution scheme, both parallel and sequential execution schemes have been addressed.
The hybrid scheme combines distributed memory parallelization, using the standard Message Passing Interface (MPI) to communicate between processes, and shared memory parallelization, providing multiple execution threads within each process to avoid duplication of data structures.
For instance, it allows for execution schemes to be optimized by choosing effective rollback schemes.
Second, for each fingerprint, there may be multiple execution strategies available.
Both parallel and sequential execution schemes have been addressed within existing approaches.
Using fewer slots than the assigned tasks leads to an increase in the observed execution time as the phase will require multiple execution rounds.
Deep pipelines, multiple execution units, out-of-order and speculative execution techniques, typically found in such microprocessors, contribute much to this complexity.
A multicore processor is a processor that includes multiple execution units ("cores") on the same chip.
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