Exemplo n.º 1
0
        /// <summary>
        /// You could use a single task to free up the main thread - but no benefit of parallelisation
        /// or multiple tasks using Task.Run() - however this suffers even more from resource starvation than IO bound tasks.
        /// The best option is to use the task parallel library of functions which uses optimal partitioning of threads/workload size
        /// </summary>
        /// <returns></returns>
        public TimeSpan CalculateMany_UsingTPL_Good()
        {
            var calculator = new SomeCalculation();

            return(TimedExecution(() =>
            {
                Parallel.For(0, iterations, i => // Parallel library is better than Task.Run() for this as it will use intelligent partitioning
                {
                    calculator.Calculate(i);
                });
            }
                                  ));
        }
Exemplo n.º 2
0
        /// <summary>
        /// Standard C#, loop over a collection and do some work on them.
        /// This will all run on the request thread, so limited CPU cores and hogs ASP.NET request
        /// For a single iteration, you could consider at least moving it onto another thread (Task.Run) and awaiting it - to free up the main ASP.NET thread
        /// </summary>
        /// <returns></returns>
        public TimeSpan CalculateMany_NoParallel_Bad()
        {
            var calculator = new SomeCalculation();

            return(TimedExecution(() =>
            {
                for (int i = 0; i < iterations; i++)
                {
                    calculator.Calculate(i);
                }
            }
                                  ));
        }