using System.Buffers; using System.Runtime.InteropServices; using ILGPU; using ILGPU.Runtime; namespace PerfectNumbers.Core.Gpu; public class MersenneNumberIncrementalGpuTester(GpuKernelType kernelType, bool useGpuOrder) { private readonly GpuKernelType _kernelType = kernelType; private readonly bool _useGpuOrder = useGpuOrder; public void Scan(ulong exponent, UInt128 twoP, bool lastIsSeven, UInt128 maxK, ref bool isPrime) { var gpuLease = GpuKernelPool.GetKernel(_useGpuOrder); var execution = gpuLease.EnterExecutionScope(); var accelerator = gpuLease.Accelerator; var stream = gpuLease.Stream; int batchSize = GpuConstants.ScanBatchSize; // large batch improves GPU occupancy UInt128 kStart = 1UL; ulong divMul = (ulong)((((UInt128)1 << 64) - UInt128.One) / exponent) + 1UL; byte last = lastIsSeven ? (byte)1 : (byte)0; // ILGPU kernels do not support bool parameters var pow2Kernel = gpuLease.Pow2ModKernel; var incKernel = gpuLease.IncrementalKernel; UInt128 exponent128 = exponent; exponent128.Mod10_8_5_3(out ulong exponentMod10, out ulong exponentMod8, out ulong exponentMod5, out ulong exponentMod3); ulong step10 = (exponentMod10 << 1) % 10UL; ulong step8 = (exponentMod8 << 1) & 7UL; ulong step3 = (exponentMod3 << 1) % 3UL; ulong step5 = (exponentMod5 << 1) % 5UL; GpuUInt128 twoPGpu = (GpuUInt128)twoP; var smallCyclesView = GpuKernelPool.EnsureSmallCyclesOnDevice(accelerator); ResiduePrimeViews primeViews = default; if (_kernelType == GpuKernelType.Pow2Mod) { primeViews = GpuKernelPool.EnsureSmallPrimesOnDevice(accelerator); } var orderBuffer = accelerator.Allocate1D(batchSize); // Avoid giant stack allocations that can trigger StackOverflow when batchSize is large. // Rent a reusable array from the shared pool instead. ulong[] orderArray = ArrayPool.Shared.Rent(batchSize); UInt128 remaining; int currentSize; int i; UInt128 q = UInt128.Zero; try { while (kStart <= maxK && Volatile.Read(ref isPrime)) { remaining = maxK - kStart + UInt128.One; currentSize = remaining > (UInt128)batchSize ? batchSize : (int)remaining; Span orders = orderArray.AsSpan(0, currentSize); // Precompute residue automaton bases for this batch UInt128 q0 = twoP * kStart + UInt128.One; if (_kernelType == GpuKernelType.Pow2Mod) { q0.Mod10_8_5_3(out ulong q0m10, out ulong q0m8, out ulong q0m5, out ulong q0m3); var kernelArgs = new ResidueAutomatonArgs(q0m10, step10, q0m8, step8, q0m3, step3, q0m5, step5); pow2Kernel(stream, currentSize, exponent, twoPGpu, (GpuUInt128)kStart, last, divMul, kernelArgs, orderBuffer.View, smallCyclesView, primeViews.LastOne, primeViews.LastSeven, primeViews.LastOnePow2, primeViews.LastSevenPow2); } else { q0.Mod10_8_5_3(out ulong q0m10, out ulong q0m8, out ulong q0m5, out ulong q0m3); incKernel(stream, currentSize, exponent, twoPGpu, (GpuUInt128)kStart, last, divMul, q0m10, q0m8, q0m3, q0m5, orderBuffer.View, smallCyclesView); } stream.Synchronize(); orderBuffer.View.CopyToCPU(ref MemoryMarshal.GetReference(orders), currentSize); if (_kernelType == GpuKernelType.Pow2Mod) { for (i = 0; i < currentSize; i++) { if (orders[i] != 0UL) { Volatile.Write(ref isPrime, false); break; } } } else { q = twoP * kStart + UInt128.One; for (i = 0; i < currentSize && Volatile.Read(ref isPrime); i++, q += twoP) { if (orders[i] != 0UL && q.IsPrimeCandidate()) { Volatile.Write(ref isPrime, false); } } } kStart += (UInt128)currentSize; } } finally { ArrayPool.Shared.Return(orderArray); orderBuffer.Dispose(); execution.Dispose(); gpuLease.Dispose(); } } }