Explore the efficiency and scalability of the parallel algorithm
The parallel algorithm
is an effective way to solve this essential problem.
based on GPU also performs well.
However, that approach requires a potentially time-consuming serial RNG process before the parallel algorithm
can begin-limiting performance improvements due to parallelism.
The communication structures of parallel program involve the terminology of parallel algorithm
, parallel processing, distributed processing and huge memory allocation.
In this study, desirability function-based scalarization approach is converted into parallel algorithm
and applied into seven benchmark problems.
Tang Tianbing advocates a parallel GA Framework , while Yin Xiang and others propose a multi-task multi-ally problem generating model and parallel algorithm
for solution .
To execute programs in parallel, there are certain requirements, such as parallel computers/processors, an operating system (Linux preferred), a high level programming language, such as C or Fortran, the parallel application programming interface (MPI), and above all--a parallel algorithm
In our previous work , we proposed a parallel algorithm
for the analysis of coupled microstrip structures, i.
A Distributed Parallel Algorithm
for SIFT Feature Extraction, Journal of Computer Research and Development, 49 (5) 1130-1141.
In Section 3, the performance of the proposed parallel algorithm
is investigated by comparing it with the serial CPU algorithm and further with the parallel algorithm
using MPI developed in .
it includes low-level technicalities like race conditions, deadlocks, starvation, and nondeterminism, all of which must be taken into consideration in parallel algorithm
design and implementation.