From the above we can see, the
parallel computing time of Cannon algorithm is [mathematical expression not reproducible] in the 2-dimensional grid, where p is the dimension of 2-dimensional grid, [t.sub.s] is the startup time, and [t.sub.w] is the text-transmission time.
Skjellum, "A high-performance portable implementation of the MPI message-passing interface standard,"
Parallel Computing, Vol.
Parallel computing techniques depend on the computer hardware architecture, nature of the program and the number of available computers/processors (Kurc, Ozmen 2008).
The emerging trends in
parallel computing technologies showed that the impact of Moore's law and economy of scale of mass market computing components will have a significant impact on the evolution of HPC systems in the near future [4].
"Online content delivery is going through a radical transformation, and the
parallel computing power of CUDA is fueling this revolution," said Andy Beach, VP of marketing at Elemental Technologies.
Dr Mark Parsons is currently commercial director for EPCC (Edinburgh
Parallel Computing Centre), a position he has held for the past eight years.
'International Journal of Unconventional Computing' carries research results in 'non-classical' computing, including cellular automata as models for
parallel computing, the physics of computation, chemical computing, bio-molecular computing, complexity, smart actuators, innovative hardware systems and logical systems.
To address these problems, today's cluster computing approaches utilize what is commonly called a scale-out or shared nothing approach to
parallel computing. In the scale-out model, applications are developed using a divide-and-conquer approach; the problem is decomposed into hundreds, thousands or even millions of tasks, each of which is executed independently (or nearly independently).
"By working cooperatively with groundbreaking products like the AMD Opteron processor, we continue to deliver
parallel computing solutions that are powered by industry leaders like AMD."
R7.0 also features improved solvers with faster run times and
parallel computing capability with multi-CPU support.
The University of Edinburgh's
Parallel Computing Center, along with staff from the National e-Science Centre at Edinburgh, also play a leading role in the Global Grid Forum's Database Access and Integration Services working group, while the PDC co-founded the European Grid Support Centre and the Nordic Grid Consortium.