/// <summary>
/// It loads the TestMode, NumberOfIterations parameters and also the PRNG seed from the SimpleMemory at
/// the beginning.
/// </summary>
/// <param name="memory"></param>
public void InitializeParametersFromMemory(SimpleMemory memory)
{
Prng1 = new PrngMWC64X((((ulong)memory.ReadUInt32(MemIndexRandomStates)) << 32) |
memory.ReadUInt32(MemIndexRandomStates + 1));
Prng2 = new PrngMWC64X((((ulong)memory.ReadUInt32(MemIndexRandomStates + 2)) << 32) |
memory.ReadUInt32(MemIndexRandomStates + 3));
TestMode = (memory.ReadUInt32(MemIndexStepMode) & 1) == 1;
NumberOfIterations = memory.ReadUInt32(MemIndexNumberOfIterations);
}
public virtual void ScheduleIterations(SimpleMemory memory)
{
int numberOfIterations = memory.ReadInt32(KpzKernelsParallelizedInterface.MemIndexNumberOfIterations);
const int TasksPerIteration = (GridSize * GridSize) / (LocalGridSize * LocalGridSize);
const int SchedulesPerIteration = TasksPerIteration / ParallelTasks;
int iterationGroupSize = numberOfIterations * ReschedulesPerTaskIteration;
const int PokesInsideTask = LocalGridSize * LocalGridSize / ReschedulesPerTaskIteration;
const int LocalGridPartitions = GridSize / LocalGridSize;
//Note: TotalNumberOfTasks = TasksPerIteration * NumberOfIterations ==
// ((GridSize * GridSize) / (LocalGridSize * LocalGridSize)) * NumberOfIterations
int parallelTaskRandomIndex = 0;
uint randomSeedTemp;
var prng0 = new PrngMWC64X();
var taskLocals = new KpzKernelsTaskState[ParallelTasks];
for (int TaskLocalsIndex = 0; TaskLocalsIndex < ParallelTasks; TaskLocalsIndex++)
{
taskLocals[TaskLocalsIndex] = new KpzKernelsTaskState
{
bramDx = new bool[LocalGridSize * LocalGridSize],
bramDy = new bool[LocalGridSize * LocalGridSize],
prng1 = new PrngMWC64X
{
state = memory.ReadUInt32(MemIndexRandomSeed + parallelTaskRandomIndex++)
}
};
randomSeedTemp = memory.ReadUInt32(MemIndexRandomSeed + parallelTaskRandomIndex++);
taskLocals[TaskLocalsIndex].prng1.state |= ((ulong)randomSeedTemp) << 32;
taskLocals[TaskLocalsIndex].prng2 = new PrngMWC64X
{
state = memory.ReadUInt32(MemIndexRandomSeed + parallelTaskRandomIndex++)
};
randomSeedTemp = memory.ReadUInt32(MemIndexRandomSeed + parallelTaskRandomIndex++);
taskLocals[TaskLocalsIndex].prng2.state |= ((ulong)randomSeedTemp) << 32;
}
// What is iterationGroupIndex good for?
// IterationPerTask needs to be between 0.5 and 1 based on the e-mail of Mate.
// If we want 10 iterations, and starting a full series of tasks makes half iteration on the full table,
// then we need to start it 20 times (thus IterationGroupSize will be 20).
prng0.state = memory.ReadUInt32(MemIndexRandomSeed + parallelTaskRandomIndex++);
randomSeedTemp = memory.ReadUInt32(MemIndexRandomSeed + parallelTaskRandomIndex++);
prng0.state |= ((ulong)randomSeedTemp) << 32;
for (int iterationGroupIndex = 0; iterationGroupIndex < iterationGroupSize; iterationGroupIndex++)
{
uint randomValue0 = prng0.NextUInt32();
// This assumes that LocalGridSize is 2^N:
int randomXOffset = (int)((LocalGridSize - 1) & randomValue0);
int randomYOffset = (int)((LocalGridSize - 1) & (randomValue0 >> 16));
for (int scheduleIndex = 0; scheduleIndex < SchedulesPerIteration; scheduleIndex++)
{
var tasks = new Task <KpzKernelsTaskState> [ParallelTasks];
for (int parallelTaskIndex = 0; parallelTaskIndex < ParallelTasks; parallelTaskIndex++)
{
// Decide the X and Y starting coordinates based on ScheduleIndex and ParallelTaskIndex
// (and the random added value)
int localGridIndex = parallelTaskIndex + scheduleIndex * ParallelTasks;
// The X and Y coordinate within the small table (local grid):
int partitionX = localGridIndex % LocalGridPartitions;
int partitionY = localGridIndex / LocalGridPartitions;
// The X and Y coordinate within the big table (grid):
int baseX = partitionX * LocalGridSize + randomXOffset;
int baseY = partitionY * LocalGridSize + randomYOffset;
// Copy to local memory
for (int copyDstX = 0; copyDstX < LocalGridSize; copyDstX++)
{
for (int CopyDstY = 0; CopyDstY < LocalGridSize; CopyDstY++)
{
//Prevent going out of grid memory area (e.g. reading into random seed):
int copySrcX = (baseX + copyDstX) % GridSize;
int copySrcY = (baseY + CopyDstY) % GridSize;
uint value = memory.ReadUInt32(MemIndexGrid + copySrcX + copySrcY * GridSize);
taskLocals[parallelTaskIndex].bramDx[copyDstX + CopyDstY * LocalGridSize] =
(value & 1) == 1;
taskLocals[parallelTaskIndex].bramDy[copyDstX + CopyDstY * LocalGridSize] =
(value & 2) == 2;
}
}
tasks[parallelTaskIndex] = Task.Factory.StartNew(
rawTaskState =>
{
// Then do TasksPerIteration iterations
var taskLocal = (KpzKernelsTaskState)rawTaskState;
for (int pokeIndex = 0; pokeIndex < PokesInsideTask; pokeIndex++)
{
// ==== <Now randomly switch four cells> ====
// Generating two random numbers:
uint taskRandomNumber1 = taskLocal.prng1.NextUInt32();
uint taskRandomNumber2 = taskLocal.prng2.NextUInt32();
// The existence of var-1 in code is a good indicator of that it is assumed to be 2^N:
int pokeCenterX = (int)(taskRandomNumber1 & (LocalGridSize - 1));
int pokeCenterY = (int)((taskRandomNumber1 >> 16) & (LocalGridSize - 1));
int pokeCenterIndex = pokeCenterX + pokeCenterY * LocalGridSize;
uint randomVariable1 = taskRandomNumber2 & ((1 << 16) - 1);
uint randomVariable2 = (taskRandomNumber2 >> 16) & ((1 << 16) - 1);
// get neighbour indexes:
int rightNeighbourIndex;
int bottomNeighbourIndex;
// We skip if neighbours would fall out of the local grid:
if (pokeCenterX >= LocalGridSize - 1 || pokeCenterY >= LocalGridSize - 1)
{
continue;
}
int rightNeighbourX = pokeCenterX + 1;
int rightNeighbourY = pokeCenterY;
int bottomNeighbourX = pokeCenterX;
int bottomNeighbourY = pokeCenterY + 1;
rightNeighbourIndex = rightNeighbourY * LocalGridSize + rightNeighbourX;
bottomNeighbourIndex = bottomNeighbourY * LocalGridSize + bottomNeighbourX;
// We check our own {dx,dy} values, and the right neighbour's dx, and bottom neighbour's dx.
if (
// If we get the pattern {01, 01} we have a pyramid:
((taskLocal.bramDx[pokeCenterIndex] && !taskLocal.bramDx[rightNeighbourIndex]) &&
(taskLocal.bramDy[pokeCenterIndex] && !taskLocal.bramDy[bottomNeighbourIndex]) &&
(false || randomVariable1 < IntegerProbabilityP)) ||
// If we get the pattern {10, 10} we have a hole:
((!taskLocal.bramDx[pokeCenterIndex] && taskLocal.bramDx[rightNeighbourIndex]) &&
(!taskLocal.bramDy[pokeCenterIndex] && taskLocal.bramDy[bottomNeighbourIndex]) &&
(false || randomVariable2 < IntegerProbabilityQ))
)
{
// We make a hole into a pyramid, and a pyramid into a hole.
taskLocal.bramDx[pokeCenterIndex] = !taskLocal.bramDx[pokeCenterIndex];
taskLocal.bramDy[pokeCenterIndex] = !taskLocal.bramDy[pokeCenterIndex];
taskLocal.bramDx[rightNeighbourIndex] = !taskLocal.bramDx[rightNeighbourIndex];
taskLocal.bramDy[bottomNeighbourIndex] = !taskLocal.bramDy[bottomNeighbourIndex];
}
// ==== </Now randomly switch four cells> ====
}
return(taskLocal);
}, taskLocals[parallelTaskIndex]);
}
Task.WhenAll(tasks).Wait();
// Copy back to SimpleMemory
for (int parallelTaskIndex = 0; parallelTaskIndex < ParallelTasks; parallelTaskIndex++)
{
// Calculate these things again
int localGridIndex = parallelTaskIndex + scheduleIndex * ParallelTasks;
// The X and Y coordinate within the small table (local grid):
int partitionX = localGridIndex % LocalGridPartitions;
int partitionY = localGridIndex / LocalGridPartitions;
// The X and Y coordinate within the big table (grid):
int baseX = partitionX * LocalGridSize + randomXOffset;
int baseY = partitionY * LocalGridSize + randomYOffset;
//Console.WriteLine("CopyBack | Task={0}, To: {1},{2}", ParallelTaskIndex, BaseX, BaseY);
for (int copySrcX = 0; copySrcX < LocalGridSize; copySrcX++)
{
for (int copySrcY = 0; copySrcY < LocalGridSize; copySrcY++)
{
int copyDstX = (baseX + copySrcX) % GridSize;
int copyDstY = (baseY + copySrcY) % GridSize;
uint value =
(tasks[parallelTaskIndex].Result.bramDx[copySrcX + copySrcY * LocalGridSize] ? 1U : 0U) |
(tasks[parallelTaskIndex].Result.bramDy[copySrcX + copySrcY * LocalGridSize] ? 2U : 0U);
//Note: use (tasks[parallelTaskIndex].Result), because
// (TaskLocals[ParallelTaskIndex]) won't work.
memory.WriteUInt32(MemIndexGrid + copyDstX + copyDstY * GridSize, value);
}
}
// Take PRNG current state from Result to feed it to input next time
taskLocals[parallelTaskIndex].prng1.state = tasks[parallelTaskIndex].Result.prng1.state;
taskLocals[parallelTaskIndex].prng2.state = tasks[parallelTaskIndex].Result.prng2.state;
}
}
}
}
