//-----------------------------------------------------------------------
// -----------------------------------------------------------------------
// file="MatrixParallel.Publish"
// Project: StgSharp
// AuthorGroup: Nitload
// Copyright (c) Nitload. All rights reserved.
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using StgSharp.Collections;
using StgSharp.HighPerformance.Memory;
using StgSharp.Mathematics;
using StgSharp.Mathematics.Internal;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Linq;
using System.Numerics;
using System.Runtime.CompilerServices;
using System.Text;
using System.Threading.Tasks;

namespace StgSharp.Mathematics.Numeric
{
    public static partial class MatrixParallel
    {

        private const int MIN_TASK_PER_THREAD = 256;
        private const int REC_TASK_PER_THREAD = 1024;

        [MethodImpl(MethodImplOptions.AggressiveInlining)]

        internal static unsafe MatrixParallelWrap ScheduleTask<TTask>(
                                                  nuint computeHandle,
                                                  MatrixParallelTask* package
        ) where TTask : IPrefetchPredict
        {
            /*
            int primCount = package->PrimCount;
            int secCount = package->SecCount;
            long count = (long)primCount * secCount;
            /**/

            // Console.WriteLine($"amount of kernels is {count}");

            long recommendCount = /*count / /**/ 1024;
            MatrixParallelThread[] pool = LeadParallel((int)recommendCount);
            MatrixParallelWrap wrap = new(pool)
            {
                TaskQueue = MatrixParallelQueue.Rent(package)
            };
            return wrap;
        }

    }
}