Ejemplo n.º 1
0
        public double[] StaticRange()
        {
            _name = nameof(StaticRange);
            this.ClearRanges();

            var corr = new double[_values.Length / 2];

            Parallel.ForEach(
                WorkloadPartitioner.Create(_values.Length / 2),
                range => this.AutoCorrelationToArrayImpl(corr, range)
                );

            return(corr);
        }
Ejemplo n.º 2
0
        //---------------------------------------------------------------------
        internal double[] AutoCorrelationToArrayParallelSimd()
        {
            var       corr                = new double[_length / 2];
            int       n                   = _length;
            var       parallelOptions     = GetParallelOptions();
            const int partitionMultiplier = 8;
            int       partitionCount      = parallelOptions.MaxDegreeOfParallelism * partitionMultiplier;

            Parallel.ForEach(
                WorkloadPartitioner.Create(n / 2, loadFactorAtStart: n, loadFactorAtEnd: n / 2, partitionCount),
                parallelOptions,
                range => this.AutoCorrelationToArrayImpl(corr, range)
                );

            return(corr);
        }
Ejemplo n.º 3
0
        public double[] TrapezeWorkload()
        {
            _name = nameof(TrapezeWorkload);
            this.ClearRanges();

            int n    = _values.Length;
            var corr = new double[n / 2];

            var parallelOptions = new ParallelOptions {
                MaxDegreeOfParallelism = 8
            };

            Parallel.ForEach(
                WorkloadPartitioner.Create(n / 2, loadFactorAtStart: n, loadFactorAtEnd: n * 0.5, Environment.ProcessorCount * this.PartitionMultiplier),
                parallelOptions,
                range => this.AutoCorrelationToArrayImpl(corr, range));

            return(corr);
        }
Ejemplo n.º 4
0
        public double[] CustomLoop()
        {
            _name = nameof(CustomLoop);
            this.ClearRanges();

            int n    = _values.Length;
            var corr = new double[n / 2];

            int parallelCount = Environment.ProcessorCount;
            WorkloadPartitioner partitioner = WorkloadPartitioner.Create(n / 2, loadFactorAtStart: n, loadFactorAtEnd: n * 0.5, Environment.ProcessorCount * this.PartitionMultiplier);
            IEnumerable <KeyValuePair <long, Range> > partitionEnumerator = partitioner.GetOrderableDynamicPartitions();

            var tasks = new Task[parallelCount];

            tasks[0] = new Task(Loop, partitionEnumerator);

            for (int i = 1; i < parallelCount; ++i)
            {
                tasks[i] = Task.Factory.StartNew(Loop, partitionEnumerator);
            }

            tasks[0].RunSynchronously();
            Task.WaitAll(tasks);

            return(corr);

            //-----------------------------------------------------------------
            void Loop(object _)
            {
                foreach (KeyValuePair <long, Range> partition in _ as IEnumerable <KeyValuePair <long, Range> > )
                {
                    Range range = partition.Value;
                    this.AutoCorrelationToArrayImpl(corr, range);
                }
            }
        }