Exact(7)
As the spanning tree problem is notoriously hard for any parallel implementation to achieve reasonable speedup, our study may shed new light on implementing PRAM algorithms for shared-memory parallel computers.
The current study extends the parallel implementation to shared memory architectures using OpenMP making the code amenable to hybrid MPI + OpenMP computations on multicore multiprocessor architectures.
Until the present work, the FLAPW method has been limited to systems of less than about a hundred atoms due to the lack of an efficient parallel implementation to exploit the power and memory of parallel computers.
It aims to decouple the specification of a scientific application from its parallel implementation to achieve code longevity and near-optimal performance through re-targeting the back-end to different multi-core/many-core hardware.
Made use of the MPI message-passing library which would enable the parallel implementation to work on a wide variety of computer architectures.
All steps feature a parallel implementation to scale with larger datasets.
Similar(53)
Apart from the numerical stability benefits, the array form also makes the modern Kalman-like filters better suited to parallel implementation and to very large scale integration (VLSI) implementation.
Clearly, any massively parallel implementation needs to address this issue to retain good scaling for large numbers of processors.
The enhanced performance of the parallel implementation allows to compute a solution closer to the maximum quality of the alignment.
The aim of the parallel implementation is to improve the performance by executing the same operation on a set of data elements (zones of interests) transferred to the different N available processors.
The parallel algorithm for the whole workflow can then be written as Algorithm 2. Source image loading: For the serial algorithm, the first step in the parallel implementation is to load images into CPU memory (Line 1).
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