Sentence examples for mpi processor from inspiring English sources

The general parallelism used in this implementation is as follows: The lead processor distributes the stdin file to all processors The lead processor distributes the input file to all processors Each processor advances the input file pointer to a chunk of unique bootstrapped data based on the MPI processor number and the total number of bootstrapped datasets.

Speedup achieved by Hybrid-PuReMD compared to PuReMD with 20 MPI processors per node.

At this rate, the computational time required to test all pairs of 500 000 SNPs, totaling 125 billion tests, using a population of 5000 individuals is about 29, 4 or 0.5 days using 8, 64 or 512 MPI-bound processors.

Computations of each discipline are spread across processors using IEEE standard message passing interface (MPI) for inter processor communications.

Also, it has the advantage of fine-grained parallelism on a loop level, in which each MPI process spawns a team of threads to occupy the multicore processors when encountering parallel sections of code using OpenMP.

However, because of the high number of charges considered, simulation on systems Q1 and Q2 were run on pools of 8 processor using an MPI fortran77 program and employing a data replicated approach to distribute the energy computation between the threads.

It uses a cluster of 64 dual processors, and an MPI library to describe the communication and synchronization of parallel processes.

MPI implementations on clusters of multicore processors were also examined, and showed that the models scaled well with the number of machines in the clusters.

All simulations were coded in C++ and MPI and were run on 16 processors of a Beowulf cluster consisting of 16 Dell 650 Precision Workstations (dual Intel Xeon 2.66 GHz).

It is shown that many opportunities for parallelization occur for the chosen algorithmic structure, and reasonably good speedups with increasing number of processors is observed through 32 processors for a message passing interface (MPI) implementation on a HP SuperDome, even with only partial parallelization.

An efficient MPI parallelization allows the usage of multi-processor architectures.