parallel computing has been around for many years but it is only recently that interest has grown due to the introduction of multi core processor at a reasonable price for the common people. The goal of this paper is to analyze and compare serial algorithm with parallel algorithm using parallel...
Is it possible to run the simulations faster using parallel processing, or using gpu computing with serial processing? Bear in mind I have no idea what the difference is between the two. My model does not contain any UDF's, symmetry or periodic boundary conditions (if it matters). Regards,...
With old-school serial computing, a processor takes steps one at a time, like walking down a road. That’s an inefficient system compared to doing things in parallel. By contrast, parallel processing is like cloning yourself 3 or 5 times, then all of you walking side by side, covering ma...
Serial port, generally refers to asynchronous serial interface (Serial port), mainly used for serial bit-by-bit data transmission. The serial port is an indispensable part for us in the embedded industry. When we first started learning microcontrollers, the first communication interface we learned ...
A serial implementation can improve overall performance because it eliminates the overhead that is required to process data in parallel.It might not be worthwhile to sort a small dataset in parallel, even when you have a large number of available computing resources or your compare function or ...
The code is similar to SQL, and the variable “q” is implicitly typed as an array of objects consisting of an integer elevation and a String. Notice that PLINQ performs all the thread-management work; the AsParallel method is all that’s needed to turn serial LINQ code into PLINQ code....
(inti) {returnis_prime(i) ? i :0; }); prime_sum = parallel_reduce(begin(a), end(a),0); }); wcout << prime_sum <<endl; wcout <<L"parallel time: "<< elapsed <<L" ms"<<endl<<endl; }/* Sample output: 1709600813 serial time: 7406 ms 1709600813 parallel time: 1969 ms *...
In the high-performance computing arena, parallelism has been used in technical and scientific applications for some time, based on a lot of work done in the 1980s. The kinds of problems are dominated by parallel loops over arrays of data where the bodies of the loops typically hav...
For researchers performing flow-field visualization analysis using the EnSight Gold format, an efficient data-partitioning strategy can help overcome the memory limitations of serial I/O and significantly enhance the speed of reading large-scale flow-field data [12]. Such a data-partitioning strategy...
processing-- only completes one task at a time using one processor. If a computer needs to complete multiple assigned tasks, it will complete one task at a time. Likewise, if a computer using serial processing needs to complete a complex task, it will take longer compared to a parallel ...