Tutorial by Topics: parallel

Purpose And Use Cases The purpose of the Task Parallel Library is to simplify the process of writing and maintaining multithreaded and parallel code. Some Use Cases*: Keeping a UI responsive by running background work on separate task Distributing workload Allowing a client application ...

Due to the GIL (Global interpreter lock) only one instance of the python interpreter executes in a single process. So in general, using multi-threading only improves IO bound computations, not CPU-bound ones. The multiprocessing module is recommended if you wish to parallelise CPU-bound tasks. G...

Parallelism is supported well by Rust's standard library through various classes such as the std::thread module, channels and atomics. This section will guide you through the usage of these types.

Parallelization on remote machines require libraries to be downloaded on each machine. Prefer package::function() calls. Several packages have parallelization natively built-in, including caret, pls and plyr. Microsoft R Open (Revolution R) also uses multi-threaded BLAS/LAPACK libraries which int...

ParallelEnumerable.Aggregate(func) ParallelEnumerable.Aggregate(seed, func) ParallelEnumerable.Aggregate(seed, updateAccumulatorFunc, combineAccumulatorsFunc, resultSelector) ParallelEnumerable.Aggregate(seedFactory, updateAccumulatorFunc, combineAccumulatorsFunc, resultSelector) ParallelEnume...

Parallel collections facilitate parallel programming by hiding low-level parallelization details. This makes taking advantage of multi-core architectures easy. Examples of parallel collections include ParArray, ParVector, mutable.ParHashMap, immutable.ParHashMap, and ParRange. A full list can be f...

#pragma omp parallel indicates that the following block shall be executed by all the threads. int omp_get_num_threads (void) : returns the number of the threads working on the parallel region (aka team of threads). int omp_get_thread_num (void) : returns the identifier of the calling t...

The Task Parallel Library is set of public types and APIs that dramatically simplify the process of adding parallelism and concurrency to an application. .Net. TPL was introduced in .Net 4 and is the recommended way to write multi threaded and parallel code. TPL takes care of work scheduling, thr...

ClauseParameterprivateComma-separated list of private variablesfirstprivateLike private, but initialized to the value of the variable before entering the looplastprivateLike private, but the variable will get the value corresponding to the last iteration of the loop upon exitreductionreduction oper...

Parallel reduction algorithm typically refers to an algorithm which combines an array of elements, producing a single result. Typical problems that fall into this category are: summing up all elements in an array finding a maximum in an array In general, the parallel reduction can be appli...

Type/FunctionDetaildata Eval aEval is a Monad that makes it easier to define parallel strategiestype Strategy a = a -> Eval aa function that embodies a parallel evaluation strategy. The function traverses (parts of) its argument, evaluating subexpressions in parallel or in sequencerpar :: Strate...

A common pitfall is to believe that all threads of a parallel region should instantiate (create) tasks but this is not typically the case unless you want to create as many tasks as the number of threads times the number of elements to process. Therefore, in OpenMP task codes you'll find something ...

This Topic is about Multi core programming using Task Parallel Library with .NET framework. The task parallel library allows you to write code which is human readable and adjusts itself with the number of Cores available. So you can be sure that your software would auto-upgrade itself with the upgra...

This section provides an overview of what task-parallel-library is, and why a developer might want to use it. It should also mention any large subjects within task-parallel-library, and link out to the related topics. Since the Documentation for task-parallel-library is new, you may need to cre...

Parallel execution in appium using selenium GRID concept. Please find step by step process.