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VerletClusterLists.h
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1
7#pragma once
8
9#include <algorithm>
10#include <cmath>
11#include <iterator>
12
13#include "ClusterTowerBlock2D.h"
29#include "autopas/utils/Timer.h"
31#include "autopas/utils/inBox.h"
33
34namespace autopas {
35
55template <class Particle_T>
57 public:
61 using ParticleType = Particle_T;
66
70 struct ClusterRange {
82 size_t numClusters{};
83 };
84
97 VerletClusterLists(const std::array<double, 3> &boxMin, const std::array<double, 3> &boxMax, double cutoff,
98 double skin, size_t clusterSize, LoadEstimatorOption loadEstimator = LoadEstimatorOption::none)
99 : ParticleContainerInterface<Particle_T>(skin),
100 _towerBlock{boxMin, boxMax, cutoff + skin},
101 _clusterSize{clusterSize},
102 _particlesToAdd(autopas_get_max_threads()),
103 _cutoff{cutoff},
104 _loadEstimator(loadEstimator) {
105 // always have at least one tower.
106 _towerBlock.addTower(_clusterSize);
107 }
108
109 [[nodiscard]] ContainerOption getContainerType() const override { return ContainerOption::verletClusterLists; }
110
116 // (Explicit) static cast required for Apple Clang (last tested version: 17.0.0)
117 switch (static_cast<LoadEstimatorOption::Value>(this->_loadEstimator)) {
119 return [&](const std::array<unsigned long, 3> &cellsPerDimension,
120 const std::array<unsigned long, 3> &lowerCorner, const std::array<unsigned long, 3> &upperCorner) {
121 // the neighborListLength function defined for verletListsCells in not compatible with this container.
122 unsigned long sum = 0;
123 for (unsigned long x = lowerCorner[0]; x <= upperCorner[0]; x++) {
124 for (unsigned long y = lowerCorner[1]; y <= upperCorner[1]; y++) {
125 unsigned long cellLoad = 0;
126 auto &tower = _towerBlock.getTowerByIndex2D(x, y);
127 for (auto &cluster : tower.getClusters()) {
128 if (cluster.getNeighbors()) {
129 cellLoad += cluster.getNeighbors()->size();
130 }
131 }
132 sum += cellLoad;
133 }
134 }
135 return sum;
136 };
137 }
139 [[fallthrough]];
140 default: {
141 return
142 [&](const std::array<unsigned long, 3> &cellsPerDimension, const std::array<unsigned long, 3> &lowerCorner,
143 const std::array<unsigned long, 3> &upperCorner) { return 1; };
144 }
145 }
146 }
147
148 void computeInteractions(TraversalInterface *traversal) override {
149 if (_isValid == ValidityState::cellsAndListsValid) {
151 "VerletClusterLists::computeInteractions(): Trying to do a pairwise iteration, even though verlet lists are "
152 "not valid.");
153 }
154 auto *traversalInterface = dynamic_cast<VCLTraversalInterface<Particle_T> *>(traversal);
155 if (traversalInterface) {
156 traversalInterface->setClusterLists(*this);
157 traversalInterface->setTowers(_towerBlock.getTowersRef());
158 } else {
160 "Trying to use a traversal of wrong type in VerletClusterLists::computeInteractions. TraversalID: {}",
161 traversal->getTraversalType());
162 }
163 if (auto *balancedTraversal = dynamic_cast<BalancedTraversal *>(traversal)) {
164 balancedTraversal->setLoadEstimator(getLoadEstimatorFunction());
165 }
166
167 traversal->initTraversal();
168 traversal->traverseParticles();
169 traversal->endTraversal();
170 }
171
172 void reserve(size_t numParticles, size_t numParticlesHaloEstimate) override {
173 const auto particlesPerTower = (numParticles + numParticlesHaloEstimate) / _towerBlock.size();
174 for (auto &tower : _towerBlock) {
175 tower.reserve(particlesPerTower);
176 }
177 }
178
184 void addParticleImpl(const Particle_T &p) override {
185 _isValid.store(ValidityState::invalid, std::memory_order_relaxed);
186 _particlesToAdd[autopas_get_thread_num()].push_back(p);
187 }
188
189 void addHaloParticleImpl(const Particle_T &haloParticle) override {
190 _isValid.store(ValidityState::invalid, std::memory_order_relaxed);
191 _particlesToAdd[autopas_get_thread_num()].push_back(haloParticle);
192 }
193
194 bool updateHaloParticle(const Particle_T &haloParticle) override {
195 using namespace autopas::utils::ArrayMath::literals;
196
197 const auto &haloPos = haloParticle.getR();
198 // this might be called from a parallel region so force this iterator to be sequential
199 for (auto it = getRegionIterator(haloPos - (this->getVerletSkin() / 2.), haloPos + (this->getVerletSkin() / 2.),
200 IteratorBehavior::halo | IteratorBehavior::forceSequential, std::nullopt);
201 it.isValid(); ++it) {
202 if (haloParticle.getID() == it->getID()) {
203 // don't simply copy haloParticle over iter. This would trigger a dataRace with other regionIterators that
204 // overlap with this region.
205 it->setR(haloPos);
206 it->setV(haloParticle.getV());
207 it->setF(haloParticle.getF());
208 return true;
209 }
210 }
211 return false;
212 }
213
214 void deleteHaloParticles() override {
215 // Step 1: Remove particles from _particlesToAdd
216 for (auto &particleVec : _particlesToAdd) {
217 for (size_t j = 0; j < particleVec.size();) {
218 if (particleVec[j].isHalo()) {
219 particleVec[j] = particleVec[particleVec.size() - 1];
220 particleVec.pop_back();
221 } else {
222 ++j;
223 }
224 }
225 }
226 // Step 2: Remove particles from _towers
227 bool deletedSomething = false;
228 AUTOPAS_OPENMP(parallel for reduction(|| : deletedSomething))
229 // Thanks to clang 13 this has to be a index based loop instead of a range based
230 for (size_t i = 0; i < _towerBlock.size(); ++i) {
231 auto &tower = _towerBlock[i];
232 const auto towerSize = tower.size();
233 auto numTailDummies = tower.getNumTailDummyParticles();
234 // iterate over all non-tail dummies. Avoid underflows.
235 for (size_t j = 0; numTailDummies < towerSize and j < towerSize - numTailDummies;) {
236 if (tower[j].isHalo()) {
237 // swap-"delete"
238 tower[j] = tower[towerSize - 1 - numTailDummies];
239 // Since we can't pop the moved particle here mark it for deletion.
240 internal::markParticleAsDeleted(tower[towerSize - 1 - numTailDummies]);
241 ++numTailDummies;
242 deletedSomething = true;
243 } else {
244 ++j;
245 }
246 }
247 // if anything was marked for deletion actually delete it now.
248 if (deletedSomething) {
249 tower.deleteDummyParticles();
250 }
251 }
252 if (deletedSomething) {
253 _isValid.store(ValidityState::invalid, std::memory_order_relaxed);
254 }
255 }
256
257 std::tuple<const Particle_T *, size_t, size_t> getParticle(size_t cellIndex, size_t particleIndex,
258 IteratorBehavior iteratorBehavior,
259 const std::array<double, 3> &boxMin,
260 const std::array<double, 3> &boxMax) const override {
261 return getParticleImpl<true>(cellIndex, particleIndex, iteratorBehavior, boxMin, boxMax);
262 }
263 std::tuple<const Particle_T *, size_t, size_t> getParticle(size_t cellIndex, size_t particleIndex,
264 IteratorBehavior iteratorBehavior) const override {
265 // this is not a region iter hence we stretch the bounding box to the numeric max
266 constexpr std::array<double, 3> boxMin{std::numeric_limits<double>::lowest(), std::numeric_limits<double>::lowest(),
267 std::numeric_limits<double>::lowest()};
268
269 constexpr std::array<double, 3> boxMax{std::numeric_limits<double>::max(), std::numeric_limits<double>::max(),
270 std::numeric_limits<double>::max()};
271 return getParticleImpl<false>(cellIndex, particleIndex, iteratorBehavior, boxMin, boxMax);
272 }
273
285 template <bool regionIter>
286 std::tuple<const Particle_T *, size_t, size_t> getParticleImpl(size_t cellIndex, size_t particleIndex,
287 IteratorBehavior iteratorBehavior,
288 const std::array<double, 3> &boxMin,
289 const std::array<double, 3> &boxMax) const {
290 using namespace autopas::utils::ArrayMath::literals;
291
292 // in this context cell == tower
293 // catching the edge case that towers are not yet built -> Iterator jumps to additional vectors
294 if (_towerBlock.empty()) {
295 return {nullptr, 0, 0};
296 }
297
298 std::array<double, 3> boxMinWithSafetyMargin = boxMin;
299 std::array<double, 3> boxMaxWithSafetyMargin = boxMax;
300 if constexpr (regionIter) {
301 // We extend the search box for cells here since particles might have moved
302 boxMinWithSafetyMargin -= 0.5 * this->getVerletSkin();
303 boxMaxWithSafetyMargin += 0.5 * this->getVerletSkin();
304 }
305
306 // first and last relevant cell index
307 const auto [startCellIndex, endCellIndex] = [&]() -> std::tuple<size_t, size_t> {
308 if constexpr (regionIter) {
309 // We extend the search box for cells here since particles might have moved
310 return {_towerBlock.getTowerIndex1DAtPosition(boxMinWithSafetyMargin),
311 _towerBlock.getTowerIndex1DAtPosition(boxMaxWithSafetyMargin)};
312 } else {
313 if (not(iteratorBehavior & IteratorBehavior::halo)) {
314 // only potentially owned region
315 return {_towerBlock.getFirstOwnedTowerIndex(), _towerBlock.getLastOwnedTowerIndex()};
316 } else {
317 // whole range of cells
318 return {0, _towerBlock.size() - 1};
319 }
320 }
321 }();
322
323 // if we are at the start of an iteration ...
324 if (cellIndex == 0 and particleIndex == 0) {
325 cellIndex =
326 startCellIndex + ((iteratorBehavior & IteratorBehavior::forceSequential) ? 0 : autopas_get_thread_num());
327 }
328 // abort if the start index is already out of bounds
329 if (cellIndex >= _towerBlock.size()) {
330 return {nullptr, 0, 0};
331 }
332 // check the data behind the indices
333 if (particleIndex >= _towerBlock[cellIndex].getNumActualParticles() or
334 not containerIteratorUtils::particleFulfillsIteratorRequirements<regionIter>(
335 _towerBlock[cellIndex][particleIndex], iteratorBehavior, boxMin, boxMax)) {
336 // either advance them to something interesting or invalidate them.
337 std::tie(cellIndex, particleIndex) =
338 advanceIteratorIndices<regionIter>(cellIndex, particleIndex, iteratorBehavior, boxMin, boxMax,
339 boxMinWithSafetyMargin, boxMaxWithSafetyMargin, endCellIndex);
340 }
341 // shortcut if the given index doesn't exist
342 if (cellIndex > endCellIndex) {
343 return {nullptr, 0, 0};
344 }
345 const Particle_T *retPtr = &_towerBlock[cellIndex][particleIndex];
346
347 return {retPtr, cellIndex, particleIndex};
348 }
349
350 bool deleteParticle(Particle_T &particle) override {
351 // This function doesn't actually delete anything as it would mess up the clusters' references.
353 return false;
354 }
355
356 bool deleteParticle(size_t cellIndex, size_t particleIndex) override {
357 // This function doesn't actually delete anything as it would mess up the clusters' references.
358 internal::markParticleAsDeleted(_towerBlock[cellIndex][particleIndex]);
359 return false;
360 }
361
362 [[nodiscard]] std::vector<Particle_T> updateContainer(bool keepNeighborListsValid) override {
363 if (keepNeighborListsValid) {
365 }
366 // First delete all halo particles.
367 this->deleteHaloParticles();
368 // Delete dummy particles.
369 AUTOPAS_OPENMP(parallel for)
370 for (size_t i = 0ul; i < _towerBlock.size(); ++i) {
371 _towerBlock[i].deleteDummyParticles();
372 }
373 // Delete dummy particles also from the _particlesToAdd vector
374 AUTOPAS_OPENMP(parallel for)
375 for (size_t i = 0ul; i < _particlesToAdd.size(); ++i) {
376 _particlesToAdd[i].erase(std::remove_if(_particlesToAdd[i].begin(), _particlesToAdd[i].end(),
377 [](const auto &p) { return p.isDummy(); }),
378 _particlesToAdd[i].end());
379 }
380
381 // next find invalid particles
382 std::vector<Particle_T> invalidParticles;
383
384 // custom openmp reduction to concatenate all local vectors to one at the end of a parallel region
385 AUTOPAS_OPENMP(declare reduction(
386 vecMergeParticle : std::vector<Particle_T> : omp_out.insert(omp_out.end(), omp_in.begin(), omp_in.end())))
387 AUTOPAS_OPENMP(parallel reduction(vecMergeParticle : invalidParticles)) {
388 for (auto iter = this->begin(IteratorBehavior::owned); iter.isValid(); ++iter) {
389 if (not utils::inBox(iter->getR(), this->getBoxMin(), this->getBoxMax())) {
390 invalidParticles.push_back(*iter);
392 }
393 }
394 }
395 _isValid.store(ValidityState::invalid, std::memory_order_relaxed);
396 return invalidParticles;
397 }
398
399 [[nodiscard]] TraversalSelectorInfo getTraversalSelectorInfo() const override {
400 using namespace autopas::utils::ArrayMath::literals;
401 // Here, the towers might not yet be built, hence do not use members like _towerBlock.getTowersPerDim
402 const auto boxSizeWithHalo = this->getHaloBoxMax() - this->getHaloBoxMin();
403 const auto [towerSideLength, towersPerDim] = _towerBlock.estimateOptimalGridSideLength(
404 this->getNumberOfParticles(IteratorBehavior::ownedOrHalo), _clusterSize);
405 const std::array<double, 3> towerSize = {towerSideLength[0], towerSideLength[1],
406 this->getHaloBoxMax()[2] - this->getHaloBoxMin()[2]};
407 const std::array<unsigned long, 3> towerDimensions = {towersPerDim[0], towersPerDim[1], 1};
408 return TraversalSelectorInfo(towerDimensions, this->getInteractionLength(), towerSize, _clusterSize);
409 }
410
415 IteratorBehavior behavior = IteratorBehavior::ownedOrHalo,
417 std::nullopt) override {
418 // Note: particlesToAddEmpty() can only be called if the container status is not invalid. If the status is set to
419 // invalid, we do writing operations on _particlesToAdd and can not read from it without race conditions.
420 if (_isValid != ValidityState::invalid) {
421 // we call particlesToAddEmpty() as a sanity check to ensure there are actually no particles in _particlesToAdd if
422 // the status is not invalid
423 if (not particlesToAddEmpty(autopas_get_thread_num())) {
425 "VerletClusterLists::begin(): Error: particle container is valid, but _particlesToAdd isn't empty!");
426 }
427 // If the particles are sorted into the towers, we can simply use the iteration over towers + additionalVectors
428 // from LogicHandler.
429 return ContainerIterator<Particle_T, true, false>(*this, behavior, additionalVectors);
430 } else {
431 // if the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
432 // store all pointers in a temporary which is passed to the ParticleIterator constructor.
434 appendBuffersHelper(additionalVectors, additionalVectorsToPass);
435 return ContainerIterator<Particle_T, true, false>(*this, behavior, std::ref(additionalVectorsToPass));
436 }
437 }
438
444 IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo,
446 std::nullopt) const override {
447 // Note: particlesToAddEmpty() can only be called if the container status is not invalid. If the status is set to
448 // invalid, we do writing operations on _particlesToAdd and can not read from from it without race conditions.
449 if (_isValid != ValidityState::invalid) {
450 // we call particlesToAddEmpty() as a sanity check to ensire there are actually no particles in _particlesToAdd if
451 // the status is not invalid
452 if (not particlesToAddEmpty(autopas_get_thread_num())) {
454 "VerletClusterLists::begin() const: Error: particle container is valid, but _particlesToAdd isn't empty!");
455 }
456 // If the particles are sorted into the towers, we can simply use the iteration over towers + additionalVectors
457 // from LogicHandler.
458 return ContainerIterator<Particle_T, false, false>(*this, behavior, additionalVectors);
459 } else {
460 // if the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
461 // store all pointers in a temporary which is passed to the ParticleIterator constructor.
463 appendBuffersHelper(additionalVectors, additionalVectorsToPass);
464 return ContainerIterator<Particle_T, false, false>(*this, behavior, std::ref(additionalVectorsToPass));
465 }
466 }
467
471 template <typename Lambda>
472 void forEach(Lambda forEachLambda, IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) {
473 for (auto &tower : _towerBlock) {
474 tower.forEach(forEachLambda, behavior);
475 }
476 for (auto &vector : this->_particlesToAdd) {
477 for (auto &particle : vector) {
478 if (behavior.contains(particle)) {
479 forEachLambda(particle);
480 }
481 }
482 }
483 }
484
490 template <typename Lambda>
491 void forEach(Lambda forEachLambda, IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) const {
492 if (_isValid != ValidityState::invalid) {
493 if (not particlesToAddEmpty()) {
495 "VerletClusterLists::forEach() const: Error: particle container is valid, but _particlesToAdd isn't "
496 "empty!");
497 }
498 }
499
500 // If the particles are sorted into the towers, we can simply use the iteration over towers.
501 for (auto &tower : _towerBlock) {
502 tower.forEach(forEachLambda, behavior);
503 }
504
505 // if the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
506 if (_isValid == ValidityState::invalid) {
507 for (auto &particlesToAddPerThread : _particlesToAdd) {
508 for (auto &particle : particlesToAddPerThread) {
509 if (behavior.contains(particle)) {
510 forEachLambda(particle);
511 }
512 }
513 }
514 }
515 }
516
520 template <typename Lambda, typename A>
521 void reduce(Lambda reduceLambda, A &result, IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) {
522 for (auto &tower : _towerBlock) {
523 tower.reduce(reduceLambda, result, behavior);
524 }
525 for (auto &vector : this->_particlesToAdd) {
526 for (auto &p : vector) {
527 if (behavior.contains(p)) {
528 reduceLambda(p, result);
529 }
530 }
531 }
532 }
533
539 template <typename Lambda, typename A>
540 void reduce(Lambda reduceLambda, A &result,
541 IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) const {
542 if (_isValid != ValidityState::invalid) {
543 if (not particlesToAddEmpty()) {
545 "VerletClusterLists::reduce() const: Error: particle container is valid, but _particlesToAdd isn't empty!");
546 }
547 }
548
549 // If the particles are sorted into the towers, we can simply use the iteration over towers.
550 for (auto tower : _towerBlock) {
551 tower.reduce(reduceLambda, result, behavior);
552 }
553
554 if (_isValid == ValidityState::invalid) {
555 // if the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
556 for (auto &particlesToAddPerThread : _particlesToAdd) {
557 for (auto &particle : particlesToAddPerThread) {
558 if (behavior.contains(particle)) {
559 reduceLambda(particle, result);
560 }
561 }
562 }
563 }
564 }
565
570 const std::array<double, 3> &lowerCorner, const std::array<double, 3> &higherCorner, IteratorBehavior behavior,
572 std::nullopt) override {
573 // Note: particlesToAddEmpty() can only be called if the container status is not invalid. If the status is set to
574 // invalid, we do writing operations on _particlesToAdd and can not read from from it without race conditions.
575 if (_isValid != ValidityState::invalid) {
576 // we call particlesToAddEmpty() as a sanity check to ensure there are actually no particles in _particlesToAdd
577 // if the status is not invalid
578 if (not particlesToAddEmpty(autopas_get_thread_num())) {
580 "VerletClusterLists::reduce() const: Error: particle container is valid, but _particlesToAdd isn't empty!");
581 }
582 // If the particles are sorted into the towers, we can simply use the iteration over towers + additionalVectors
583 // from LogicHandler.
584 return ContainerIterator<Particle_T, true, true>(*this, behavior, additionalVectors, lowerCorner, higherCorner);
585 } else {
586 // if the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
587 // store all pointers in a temporary which is passed to the ParticleIterator constructor.
588 typename ContainerIterator<Particle_T, true, true>::ParticleVecType additionalVectorsToPass;
589 appendBuffersHelper(additionalVectors, additionalVectorsToPass);
590 return ContainerIterator<Particle_T, true, true>(*this, behavior, std::ref(additionalVectorsToPass), lowerCorner,
591 higherCorner);
592 }
593 }
594
600 const std::array<double, 3> &lowerCorner, const std::array<double, 3> &higherCorner, IteratorBehavior behavior,
602 std::nullopt) const override {
603 // Note: particlesToAddEmpty() can only be called if the container status is not invalid. If the status is set to
604 // invalid, we do writing operations on _particlesToAdd and can not read from from it without race conditions.
605 if (_isValid != ValidityState::invalid) {
606 // we call particlesToAddEmpty() as a sanity check to ensire there are actually no particles in _particlesToAdd if
607 // the status is not invalid
608 if (not particlesToAddEmpty(autopas_get_thread_num())) {
610 "VerletClusterLists::getRegionIterator() const: Error: particle container is valid, but _particlesToAdd "
611 "isn't empty!");
612 }
613 // If the particles are sorted into the towers, we can simply use the iteration over towers + additionalVectors
614 // from LogicHandler.
615 return ContainerIterator<Particle_T, false, true>(*this, behavior, additionalVectors, lowerCorner, higherCorner);
616 } else {
617 // if the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
618 // store all pointers in a temporary which is passed to the ParticleIterator constructor.
620 appendBuffersHelper(additionalVectors, additionalVectorsToPass);
621 return ContainerIterator<Particle_T, false, true>(*this, behavior, std::ref(additionalVectorsToPass), lowerCorner,
622 higherCorner);
623 }
624 }
625
629 template <typename Lambda>
630 void forEachInRegion(Lambda forEachLambda, const std::array<double, 3> &lowerCorner,
631 const std::array<double, 3> &higherCorner,
632 IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) {
633 for (size_t i = 0; i < _towerBlock.size(); ++i) {
634 if (_towerBlock.ignoreCellForIteration(i, behavior)) {
635 continue;
636 }
637 auto &tower = _towerBlock[i];
638 const auto [towerLowCorner, towerHighCorner] = _towerBlock.getTowerBoundingBox(i);
639 // particles can move over cell borders. Calculate the volume this cell's particles can be.
640 const auto towerLowCornerSkin = utils::ArrayMath::subScalar(towerLowCorner, this->getVerletSkin() * 0.5);
641 const auto towerHighCornerSkin = utils::ArrayMath::addScalar(towerHighCorner, this->getVerletSkin() * 0.5);
642 if (utils::boxesOverlap(towerLowCornerSkin, towerHighCornerSkin, lowerCorner, higherCorner)) {
643 tower.forEach(forEachLambda, lowerCorner, higherCorner, behavior);
644 }
645 }
646 for (auto &vector : _particlesToAdd) {
647 for (auto &particle : vector) {
648 if (behavior.contains(particle)) {
649 if (utils::inBox(particle.getR(), lowerCorner, higherCorner)) {
650 forEachLambda(particle);
651 }
652 }
653 }
654 }
655 }
656
662 template <typename Lambda>
663 void forEachInRegion(Lambda forEachLambda, const std::array<double, 3> &lowerCorner,
664 const std::array<double, 3> &higherCorner,
665 IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) const {
666 if (_isValid != ValidityState::invalid) {
667 if (not particlesToAddEmpty()) {
669 "VerletClusterLists::forEachInRegion() const: Error: particle container is valid, but _particlesToAdd "
670 "isn't empty!");
671 }
672 }
673
674 // If the particles are sorted into the towers, we can simply use the iteration over towers.
675 for (size_t i = 0; i < _towerBlock.size(); ++i) {
676 if (_towerBlock.ignoreCellForIteration(i, behavior)) {
677 continue;
678 }
679 auto &tower = _towerBlock[i];
680 const auto [towerLowCorner, towerHighCorner] = _towerBlock.getTowerBoundingBox(i);
681 // particles can move over cell borders. Calculate the volume this cell's particles can be.
682 const auto towerLowCornerSkin = utils::ArrayMath::subScalar(towerLowCorner, this->getVerletSkin() * 0.5);
683 const auto towerHighCornerSkin = utils::ArrayMath::addScalar(towerHighCorner, this->getVerletSkin() * 0.5);
684 if (utils::boxesOverlap(towerLowCornerSkin, towerHighCornerSkin, lowerCorner, higherCorner)) {
685 tower.forEach(forEachLambda, lowerCorner, higherCorner, behavior);
686 }
687 }
688
689 if (_isValid == ValidityState::invalid) {
690 // If the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
691 for (auto &particlesToAddPerThread : _particlesToAdd) {
692 for (auto &particle : particlesToAddPerThread) {
693 if (behavior.contains(particle)) {
694 if (utils::inBox(particle.getR(), lowerCorner, higherCorner)) {
695 forEachLambda(particle);
696 }
697 }
698 }
699 }
700 }
701 }
702
706 template <typename Lambda, typename A>
707 void reduceInRegion(Lambda reduceLambda, A &result, const std::array<double, 3> &lowerCorner,
708 const std::array<double, 3> &higherCorner,
709 IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) {
710 for (size_t i = 0; i < _towerBlock.size(); ++i) {
711 if (_towerBlock.ignoreCellForIteration(i, behavior)) {
712 continue;
713 }
714 auto &tower = _towerBlock[i];
715 const auto [towerLowCorner, towerHighCorner] = _towerBlock.getTowerBoundingBox(i);
716 // particles can move over cell borders. Calculate the volume this cell's particles can be.
717 const auto towerLowCornerSkin = utils::ArrayMath::subScalar(towerLowCorner, this->getVerletSkin() * 0.5);
718 const auto towerHighCornerSkin = utils::ArrayMath::addScalar(towerHighCorner, this->getVerletSkin() * 0.5);
719 if (utils::boxesOverlap(towerLowCornerSkin, towerHighCornerSkin, lowerCorner, higherCorner)) {
720 tower.reduce(reduceLambda, result, lowerCorner, higherCorner, behavior);
721 }
722 }
723 for (auto &vector : _particlesToAdd) {
724 for (auto &particle : vector) {
725 if (behavior.contains(particle)) {
726 if (utils::inBox(particle.getR(), lowerCorner, higherCorner)) {
727 reduceLambda(particle, result);
728 }
729 }
730 }
731 }
732 }
733
739 template <typename Lambda, typename A>
740 void reduceInRegion(Lambda reduceLambda, A &result, const std::array<double, 3> &lowerCorner,
741 const std::array<double, 3> &higherCorner,
742 IteratorBehavior behavior = autopas::IteratorBehavior::ownedOrHalo) const {
743 if (_isValid != ValidityState::invalid) {
744 if (not particlesToAddEmpty()) {
746 "VerletClusterLists::reduceInRegion() const: Error: particle container is valid, but _particlesToAdd isn't "
747 "empty!");
748 }
749 }
750 // If the particles are sorted into the towers, we can simply use the iteration over towers.
751 for (size_t i = 0; i < _towerBlock.size(); ++i) {
752 if (_towerBlock.ignoreCellForIteration(i, behavior)) {
753 continue;
754 }
755 auto &tower = _towerBlock[i];
756 const auto [towerLowCorner, towerHighCorner] = _towerBlock.getTowerBoundingBox(i);
757 // particles can move over cell borders. Calculate the volume this cell's particles can be.
758 const auto towerLowCornerSkin = utils::ArrayMath::subScalar(towerLowCorner, this->getVerletSkin() * 0.5);
759 const auto towerHighCornerSkin = utils::ArrayMath::addScalar(towerHighCorner, this->getVerletSkin() * 0.5);
760 if (utils::boxesOverlap(towerLowCornerSkin, towerHighCornerSkin, lowerCorner, higherCorner)) {
761 tower.reduce(reduceLambda, result, lowerCorner, higherCorner, behavior);
762 }
763 }
764
765 if (_isValid == ValidityState::invalid) {
766 // If the particles are not sorted into the towers, we have to also iterate over _particlesToAdd.
767 for (auto &particlesToAddPerThread : _particlesToAdd) {
768 for (auto &particle : particlesToAddPerThread) {
769 if (behavior.contains(particle)) {
770 if (utils::inBox(particle.getR(), lowerCorner, higherCorner)) {
771 reduceLambda(particle, result);
772 }
773 }
774 }
775 }
776 }
777 }
778
779 void rebuildNeighborLists(TraversalInterface *traversal) override {
780 // The builder might have a different newton3 choice than the traversal. This typically only happens in unit tests
781 // when rebuildTowersAndClusters() was not called explicitly.
782 if (_isValid == ValidityState::invalid or traversal->getUseNewton3() != _builder->getNewton3()) {
783 // clear the lists buffer because clusters will be recreated
784 _neighborLists.clear();
786 }
787 _builder->rebuildNeighborListsAndFillClusters();
788
789 auto *clusterTraversalInterface = dynamic_cast<VCLTraversalInterface<Particle_T> *>(traversal);
790 if (clusterTraversalInterface) {
791 if (clusterTraversalInterface->needsStaticClusterThreadPartition()) {
793 }
794 } else {
796 "Trying to use a traversal of wrong type in VerletClusterLists::rebuildNeighborLists. TraversalID: {}",
797 traversal->getTraversalType());
798 }
799 }
800
808 template <bool inParallel, class LoopBody>
809 void traverseClusters(LoopBody &&loopBody) {
810 if (inParallel) {
811 traverseClustersParallel<LoopBody>(std::forward<LoopBody>(loopBody));
812 } else {
813 traverseClustersSequential<LoopBody>(std::forward<LoopBody>(loopBody));
814 }
815 }
816
821 [[nodiscard]] size_t size() const override {
822 size_t sum = std::accumulate(_towerBlock.begin(), _towerBlock.end(), 0,
823 [](size_t acc, const auto &tower) { return acc + tower.size(); });
824 sum = std::accumulate(_particlesToAdd.begin(), _particlesToAdd.end(), sum,
825 [](size_t acc, const auto &buffer) { return acc + buffer.size(); });
826 return sum;
827 }
828
832 [[nodiscard]] size_t getNumberOfParticles(IteratorBehavior behavior) const override {
833 // sum up all particles in towers that fulfill behavior
834 size_t sum = std::accumulate(_towerBlock.begin(), _towerBlock.end(), 0, [&behavior](size_t acc, const auto &tower) {
835 return acc + tower.getNumberOfParticles(behavior);
836 });
837
838 // Since we can not directly insert particles into towers without a rebuild of the whole data structure,
839 // _particlesToAdd is used to store all these particles temporarily until the next rebuild inserts them into the
840 // towers data structure. However, these particles already belong to the respective tower, so we have to count them
841 // as well.
842 sum = std::accumulate(
843 _particlesToAdd.begin(), _particlesToAdd.end(), sum, [&behavior](size_t acc, const auto &buffer) {
844 return acc +
845 (std::count_if(buffer.begin(), buffer.end(), [&behavior](auto p) { return behavior.contains(p); }));
846 });
847
848 return sum;
849 }
850
855 const auto &getClusterThreadPartition() const { return _clusterThreadPartition; }
856
861 auto getNumClusters() const { return _numClusters; }
862
867 auto getTowerSideLength() const { return _towerBlock.getTowerSideLength(); }
868
873 auto getTowersPerDimension() const { return _towerBlock.getTowersPerDim(); }
874
879 auto getClusterSize() const { return _clusterSize; }
880
885 auto getNumTowersPerInteractionLength() const { return _towerBlock.getNumTowersPerInteractionLength(); }
886
892 template <class Functor>
894 const auto numTowers = _towerBlock.size();
896 AUTOPAS_OPENMP(parallel for schedule(dynamic))
897 for (size_t index = 0; index < numTowers; index++) {
898 _towerBlock[index].loadSoA(functor);
899 }
900 }
901
907 template <class Functor>
909 const auto numTowers = _towerBlock.size();
911 AUTOPAS_OPENMP(parallel for schedule(dynamic))
912 for (size_t index = 0; index < numTowers; index++) {
913 _towerBlock[index].extractSoA(functor);
914 }
915 }
916
924 return _towerBlock.getTowerByIndex2D(x, y);
925 }
926
935
936 [[nodiscard]] const std::array<double, 3> &getBoxMax() const override { return _towerBlock.getBoxMax(); }
937
942 [[nodiscard]] const std::array<double, 3> &getHaloBoxMax() const { return _towerBlock.getHaloBoxMax(); }
943
944 [[nodiscard]] const std::array<double, 3> &getBoxMin() const override { return _towerBlock.getBoxMin(); }
945
950 [[nodiscard]] const std::array<double, 3> &getHaloBoxMin() const { return _towerBlock.getHaloBoxMin(); }
951
952 [[nodiscard]] double getCutoff() const override { return _cutoff; }
953
954 void setCutoff(double cutoff) override { _cutoff = cutoff; }
955
956 [[nodiscard]] double getVerletSkin() const override { return this->_skin; }
957
962 void setSkin(double skin) { this->_skin = skin; }
963
964 [[nodiscard]] double getInteractionLength() const override { return _cutoff + this->getVerletSkin(); }
965
966 void deleteAllParticles() override {
967 _isValid.store(ValidityState::invalid, std::memory_order_relaxed);
968 std::for_each(_particlesToAdd.begin(), _particlesToAdd.end(), [](auto &buffer) { buffer.clear(); });
969 std::for_each(_towerBlock.begin(), _towerBlock.end(), [](auto &tower) { tower.clear(); });
970 }
971
977 return _neighborLists;
978 }
979
985 void rebuildTowersAndClusters(bool newton3) {
986 using namespace utils::ArrayMath::literals;
987 // collect all particles to add from across the thread buffers
988 typename decltype(_particlesToAdd)::value_type particlesToAdd;
989 const size_t numParticlesToAdd =
990 std::accumulate(_particlesToAdd.begin(), _particlesToAdd.end(), 0,
991 [](size_t acc, const auto &buffer) { return acc + buffer.size(); });
992 particlesToAdd.reserve(numParticlesToAdd);
993 std::for_each(_particlesToAdd.begin(), _particlesToAdd.end(), [&](auto &particlesBuffer) {
994 particlesToAdd.insert(particlesToAdd.end(), particlesBuffer.begin(), particlesBuffer.end());
995 particlesBuffer.clear();
996 });
997
998 const double interactionLength = _cutoff + this->_skin;
999 _builder = std::make_unique<internal::VerletClusterListsRebuilder<Particle_T>>(
1000 _towerBlock, particlesToAdd, _neighborLists, _clusterSize, interactionLength * interactionLength, newton3);
1001
1002 _numClusters = _builder->rebuildTowersAndClusters();
1003
1004 _isValid.store(ValidityState::cellsValidListsInvalid, std::memory_order_relaxed);
1005 for (auto &tower : _towerBlock) {
1006 tower.setParticleDeletionObserver(this);
1007 }
1008 }
1009
1015 template <class LoopBody>
1016 void traverseClustersSequential(LoopBody &&loopBody) {
1017 for (size_t x = 0; x < _towerBlock.getTowersPerDim()[0]; x++) {
1018 for (size_t y = 0; y < _towerBlock.getTowersPerDim()[1]; y++) {
1019 auto &tower = _towerBlock.getTowerByIndex2D(x, y);
1020 for (auto clusterIter = tower.getFirstOwnedCluster(); clusterIter < tower.getFirstTailHaloCluster();
1021 ++clusterIter) {
1022 loopBody(*clusterIter);
1023 }
1024 }
1025 }
1026 }
1027
1037 template <class LoopBody>
1038 void traverseClustersParallel(LoopBody &&loopBody) {
1039 const auto towersPerDimX = _towerBlock.getTowersPerDim()[0];
1040 const auto towersPerDimY = _towerBlock.getTowersPerDim()[1];
1042 AUTOPAS_OPENMP(parallel for schedule(dynamic) collapse(2))
1043 for (size_t x = 0; x < towersPerDimX; x++) {
1044 for (size_t y = 0; y < towersPerDimY; y++) {
1045 auto &tower = _towerBlock.getTowerByIndex2D(x, y);
1046
1047 for (auto clusterIter = tower.getFirstOwnedCluster(); clusterIter < tower.getFirstTailHaloCluster();
1048 ++clusterIter) {
1049 loopBody(*clusterIter);
1050 }
1051 }
1052 }
1053 }
1054
1055 protected:
1061 size_t numClusterPairs = 0;
1062 this->template traverseClusters<false>(
1063 [&numClusterPairs](auto &cluster) { numClusterPairs += cluster.getNeighbors()->size(); });
1064
1065 constexpr int minNumClusterPairsPerThread = 1000;
1066 auto numThreads =
1067 std::clamp(static_cast<int>(numClusterPairs / minNumClusterPairsPerThread), 1, autopas_get_max_threads());
1068
1069 size_t numClusterPairsPerThread =
1070 std::max(static_cast<unsigned long>(std::ceil(static_cast<double>(numClusterPairs) / numThreads)), 1ul);
1071 if (numClusterPairsPerThread * numThreads < numClusterPairs) {
1073 "VerletClusterLists::calculateClusterThreadPartition(): numClusterPairsPerThread ({}) * numThreads ({})={} "
1074 "should always "
1075 "be at least the amount of Cluster Pairs ({})!",
1076 numClusterPairsPerThread, numThreads, numClusterPairsPerThread * numThreads, numClusterPairs);
1077 }
1078 fillClusterRanges(numClusterPairsPerThread, numThreads);
1079 }
1080
1087 void fillClusterRanges(size_t numClusterPairsPerThread, int numThreads) {
1088 if (numClusterPairsPerThread < 1) {
1090 "VerletClusterLists::fillClusterRanges(): numClusterPairsPerThread({}) is less than one, this is not "
1091 "supported "
1092 "and will lead to errors!",
1093 numClusterPairsPerThread);
1094 }
1095 _clusterThreadPartition.resize(numThreads);
1096
1097 size_t currentThread = 0;
1098 size_t currentNumClustersToAdd = 0;
1099 size_t numClusterPairsTotal = 0;
1100 bool threadIsInitialized = false;
1101 // Iterate over the clusters of all towers
1102 for (size_t currentTowerIndex = 0; currentTowerIndex < _towerBlock.size(); currentTowerIndex++) {
1103 auto &currentTower = _towerBlock[currentTowerIndex];
1104 const auto firstOwnedClusterIndex =
1105 std::distance(currentTower.getClusters().begin(), currentTower.getFirstOwnedCluster());
1106 const auto firstTailHaloClusterIndex =
1107 std::distance(currentTower.getClusters().begin(), currentTower.getFirstTailHaloCluster());
1108 for (size_t currentClusterInTower = firstOwnedClusterIndex; currentClusterInTower < firstTailHaloClusterIndex;
1109 ++currentClusterInTower) {
1110 auto &currentCluster = currentTower.getCluster(currentClusterInTower);
1111
1112 // If on a new thread, start with the clusters for this thread here.
1113 if (not threadIsInitialized) {
1114 _clusterThreadPartition[currentThread] = {currentTowerIndex, currentClusterInTower, 0};
1115 threadIsInitialized = true;
1116 }
1117
1118 currentNumClustersToAdd++;
1119 numClusterPairsTotal += currentCluster.getNeighbors()->size();
1120
1121 // If the thread is finished, write number of clusters and start new thread.
1122 if (numClusterPairsTotal >= numClusterPairsPerThread * (currentThread + 1)) {
1123 // Add the number of clusters for the finished thread.
1124 _clusterThreadPartition[currentThread].numClusters += currentNumClustersToAdd;
1125 currentNumClustersToAdd = 0;
1126 // Go to next thread!
1127 currentThread++;
1128 // if we are already at the end of all threads, go back to last thread!
1129 // this is a safety precaution and should not really matter.
1130 if (currentThread >= numThreads) {
1131 --currentThread;
1132 threadIsInitialized = true;
1133 } else {
1134 threadIsInitialized = false;
1135 }
1136 }
1137 }
1138 }
1139 if (not threadIsInitialized) {
1140 _clusterThreadPartition[currentThread] = {0, 0, 0};
1141 }
1142 // Make sure the last cluster range contains the rest of the clusters, even if there is not the perfect number left.
1143 if (currentNumClustersToAdd != 0) {
1144 _clusterThreadPartition[currentThread].numClusters += currentNumClustersToAdd;
1145 }
1146 // Theoretically, some threads may still remain. This ensures that their numClusters are set to 0.
1147 while (++currentThread < numThreads) {
1148 _clusterThreadPartition[currentThread] = {0, 0, 0};
1149 }
1150 }
1151
1157 void notifyParticleDeleted() override {
1158 // this is potentially called from a threaded environment, so we have to make this atomic here!
1159 _isValid.store(ValidityState::invalid, std::memory_order_relaxed);
1160 }
1161
1162 private:
1177 template <bool regionIter>
1178 [[nodiscard]] std::tuple<size_t, size_t> advanceIteratorIndices(
1179 size_t cellIndex, size_t particleIndex, IteratorBehavior iteratorBehavior, const std::array<double, 3> &boxMin,
1180 const std::array<double, 3> &boxMax, const std::array<double, 3> &boxMinWithSafetyMargin,
1181 const std::array<double, 3> &boxMaxWithSafetyMargin, size_t endCellIndex) const {
1182 // Finding the indices for the next particle
1183 const size_t stride = (iteratorBehavior & IteratorBehavior::forceSequential) ? 1 : autopas_get_num_threads();
1184
1185 // helper function to determine if the cell can even contain particles of interest to the iterator
1186 auto towerIsRelevant = [&]() -> bool {
1187 // special case: Towers are not yet built, then the tower acting as buffer is always relevant.
1188 if (_towerBlock.size() == 1) {
1189 return true;
1190 }
1191 bool isRelevant = true;
1192 if constexpr (regionIter) {
1193 // is the cell in the region?
1194 const auto [towerLowCorner, towerHighCorner] = _towerBlock.getTowerBoundingBox(cellIndex);
1195 isRelevant =
1196 utils::boxesOverlap(towerLowCorner, towerHighCorner, boxMinWithSafetyMargin, boxMaxWithSafetyMargin);
1197 }
1198 return isRelevant;
1199 };
1200
1201 do {
1202 // advance to the next particle
1203 ++particleIndex;
1204 // If this breaches the end of a cell, find the next non-empty cell and reset particleIndex.
1205
1206 // If cell has wrong type, or there are no more particles in this cell jump to the next
1207 while (not towerIsRelevant() or particleIndex >= _towerBlock[cellIndex].getNumActualParticles()) {
1208 cellIndex += stride;
1209 particleIndex = 0;
1210
1211 // If we notice that there is nothing else to look at set invalid values, so we get a nullptr next time and
1212 // break.
1213 if (cellIndex > endCellIndex) {
1214 return {std::numeric_limits<size_t>::max(), particleIndex};
1215 }
1216 }
1217 } while (not containerIteratorUtils::particleFulfillsIteratorRequirements<regionIter>(
1218 _towerBlock[cellIndex][particleIndex], iteratorBehavior, boxMin, boxMax));
1219
1220 // the indices returned at this point should always be valid
1221 return {cellIndex, particleIndex};
1222 }
1223
1225
1229 autopas::LoadEstimatorOption _loadEstimator;
1230
1234 size_t _clusterSize;
1235
1239 size_t _numClusters{0};
1240
1246 mutable std::vector<std::vector<Particle_T>> _particlesToAdd;
1247
1253 [[nodiscard]] bool particlesToAddEmpty(int bufferID = -1) const {
1254 if (bufferID == -1) {
1255 for (auto &threadBuffer : _particlesToAdd) {
1256 if (not threadBuffer.empty()) {
1257 return false;
1258 }
1259 }
1260 return true;
1261 } else {
1262 return _particlesToAdd[bufferID].empty();
1263 }
1264 }
1265
1274 template <class VecVec>
1275 void appendBuffersHelper(utils::optRef<VecVec> additionalVectors, VecVec &outVec) const {
1276 if (additionalVectors.has_value()) {
1277 outVec.reserve(_particlesToAdd.size() + additionalVectors->get().size());
1278 outVec.insert(outVec.end(), additionalVectors->get().begin(), additionalVectors->get().end());
1279 } else {
1280 outVec.reserve(_particlesToAdd.size());
1281 }
1282 for (auto &vec : _particlesToAdd) {
1283 outVec.push_back(&vec);
1284 }
1285 }
1286
1290 std::vector<ClusterRange> _clusterThreadPartition;
1291
1295 double _cutoff{};
1296
1300 enum class ValidityState : unsigned char {
1301 invalid = 0, // nothing is valid.
1302 cellsValidListsInvalid = 1, // only the cell structure is valid, but the lists are not.
1303 cellsAndListsValid = 2 // the cells and lists are valid
1304 };
1305
1309 std::atomic<ValidityState> _isValid{ValidityState::invalid};
1310
1314 std::unique_ptr<internal::VerletClusterListsRebuilder<Particle_T>> _builder;
1315
1320};
1321
1322} // namespace autopas
#define AUTOPAS_OPENMP(args)
Empty macro to throw away any arguments.
Definition: WrapOpenMP.h:126
Base class for traversals utilising load balancing.
Definition: BalancedTraversal.h:19
std::function< unsigned long(const std::array< unsigned long, 3 > &, const std::array< unsigned long, 3 > &, const std::array< unsigned long, 3 > &)> EstimatorFunction
Type signature for load estimators.
Definition: BalancedTraversal.h:26
Public iterator class that iterates over a particle container and additional vectors (which are typic...
Definition: ContainerIterator.h:95
std::conditional_t< modifiable, std::vector< std::vector< Particle_T > * >, std::vector< std::vector< Particle_T > const * > > ParticleVecType
Type of the additional vector collection.
Definition: ContainerIterator.h:108
Functor base class.
Definition: Functor.h:40
Class representing the load estimator choices.
Definition: LoadEstimatorOption.h:18
Value
Possible choices for the load estimation algorithm.
Definition: LoadEstimatorOption.h:23
@ neighborListLength
Sum of neighbor list lengths.
Definition: LoadEstimatorOption.h:35
@ none
No load estimator.
Definition: LoadEstimatorOption.h:27
Class for manual memory management of neighbor lists.
Definition: NeighborListsBuffer.h:31
The ParticleContainerInterface class provides a basic interface for all Containers within AutoPas.
Definition: ParticleContainerInterface.h:38
constexpr bool end() const
Dummy to make range-based for loops work.
Definition: ParticleContainerInterface.h:246
This interface serves as a common parent class for all traversals.
Definition: TraversalInterface.h:18
virtual void endTraversal()=0
Finalizes the traversal.
virtual TraversalOption getTraversalType() const =0
Return a enum representing the name of the traversal class.
virtual void traverseParticles()=0
Traverse the particles by pairs, triplets etc.
virtual void initTraversal()=0
Initializes the traversal.
bool getUseNewton3() const
Return whether the traversal uses newton 3.
Definition: TraversalInterface.h:63
Info for traversals of a specific container.
Definition: TraversalSelectorInfo.h:14
Interface for traversals of the VerletClusterLists container.
Definition: VCLTraversalInterface.h:20
virtual void setClusterLists(VerletClusterLists< Particle_T > &verletClusterLists)
Sets the cluster list for the traversal to iterate over.
Definition: VCLTraversalInterface.h:31
Particles are divided into clusters.
Definition: VerletClusterLists.h:56
TraversalSelectorInfo getTraversalSelectorInfo() const override
Generates a traversal selector info for this container.
Definition: VerletClusterLists.h:399
void reduce(Lambda reduceLambda, A &result, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo)
Reduce properties of particles as defined by a lambda function.
Definition: VerletClusterLists.h:521
ContainerOption getContainerType() const override
Get the ContainerType.
Definition: VerletClusterLists.h:109
void traverseClusters(LoopBody &&loopBody)
Helper method to iterate over all clusters.
Definition: VerletClusterLists.h:809
void deleteHaloParticles() override
Deletes all halo particles.
Definition: VerletClusterLists.h:214
void forEach(Lambda forEachLambda, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo) const
Execute code on all particles in this container as defined by a lambda function.
Definition: VerletClusterLists.h:491
size_t size() const override
Get the number of all particles stored in this container (owned + halo + dummy).
Definition: VerletClusterLists.h:821
auto getClusterSize() const
Returns the number of particles in each cluster.
Definition: VerletClusterLists.h:879
void rebuildNeighborLists(TraversalInterface *traversal) override
Rebuilds the neighbor lists for the next traversals.
Definition: VerletClusterLists.h:779
ContainerIterator< Particle_T, true, true > getRegionIterator(const std::array< double, 3 > &lowerCorner, const std::array< double, 3 > &higherCorner, IteratorBehavior behavior, utils::optRef< typename ContainerIterator< Particle_T, true, true >::ParticleVecType > additionalVectors=std::nullopt) override
Iterate over all particles in a specified region for(auto iter = container.getRegionIterator(lowCorne...
Definition: VerletClusterLists.h:569
BalancedTraversal::EstimatorFunction getLoadEstimatorFunction()
Generates the load estimation function depending on _loadEstimator.
Definition: VerletClusterLists.h:115
void setSkin(double skin)
Set the verlet skin length for the container.
Definition: VerletClusterLists.h:962
void addHaloParticleImpl(const Particle_T &haloParticle) override
Adds a particle to the container that lies in the halo region of the container.
Definition: VerletClusterLists.h:189
auto getTowersPerDimension() const
Returns the number of grids per dimension on the container.
Definition: VerletClusterLists.h:873
void forEach(Lambda forEachLambda, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo)
Execute code on all particles in this container as defined by a lambda function.
Definition: VerletClusterLists.h:472
const std::array< double, 3 > & getHaloBoxMax() const
Get the upper corner of the halo box.
Definition: VerletClusterLists.h:942
ContainerIterator< Particle_T, true, false > begin(IteratorBehavior behavior=IteratorBehavior::ownedOrHalo, utils::optRef< typename ContainerIterator< Particle_T, true, false >::ParticleVecType > additionalVectors=std::nullopt) override
Iterate over all particles using for(auto iter = container.begin(); iter.isValid(); ++iter) .
Definition: VerletClusterLists.h:414
std::tuple< const Particle_T *, size_t, size_t > getParticleImpl(size_t cellIndex, size_t particleIndex, IteratorBehavior iteratorBehavior, const std::array< double, 3 > &boxMin, const std::array< double, 3 > &boxMax) const
Container specific implementation for getParticle.
Definition: VerletClusterLists.h:286
void addParticleImpl(const Particle_T &p) override
Adds the given particle to the container.
Definition: VerletClusterLists.h:184
void reduceInRegion(Lambda reduceLambda, A &result, const std::array< double, 3 > &lowerCorner, const std::array< double, 3 > &higherCorner, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo)
Execute code on all particles in this container in a certain region as defined by a lambda function.
Definition: VerletClusterLists.h:707
void traverseClustersSequential(LoopBody &&loopBody)
Helper method to sequentially iterate over all owned clusters.
Definition: VerletClusterLists.h:1016
void computeInteractions(TraversalInterface *traversal) override
Iterates over all particle multiples (e.g.
Definition: VerletClusterLists.h:148
double getInteractionLength() const override
Return the interaction length (cutoff+skin) of the container.
Definition: VerletClusterLists.h:964
bool deleteParticle(size_t cellIndex, size_t particleIndex) override
Deletes the particle at the given index positions as long as this does not compromise the validity of...
Definition: VerletClusterLists.h:356
double getVerletSkin() const override
Return the verletSkin of the container verletSkin.
Definition: VerletClusterLists.h:956
void loadParticlesIntoSoAs(Functor *functor)
Loads all particles of the container in their correct SoA and generates the SoAViews for the clusters...
Definition: VerletClusterLists.h:893
std::tuple< const Particle_T *, size_t, size_t > getParticle(size_t cellIndex, size_t particleIndex, IteratorBehavior iteratorBehavior, const std::array< double, 3 > &boxMin, const std::array< double, 3 > &boxMax) const override
Fetch the pointer to a particle, identified via a cell and particle index.
Definition: VerletClusterLists.h:257
Particle_T ParticleType
Type of the Particle.
Definition: VerletClusterLists.h:61
internal::ClusterTowerBlock2D< Particle_T > & getTowerBlock()
Getter for the cell block.
Definition: VerletClusterLists.h:934
auto getNumTowersPerInteractionLength() const
Returns the towers per interaction length.
Definition: VerletClusterLists.h:885
const std::array< double, 3 > & getBoxMin() const override
Get the lower corner of the container without halo.
Definition: VerletClusterLists.h:944
ContainerIterator< Particle_T, false, true > getRegionIterator(const std::array< double, 3 > &lowerCorner, const std::array< double, 3 > &higherCorner, IteratorBehavior behavior, utils::optRef< typename ContainerIterator< Particle_T, false, true >::ParticleVecType > additionalVectors=std::nullopt) const override
Iterate over all particles in a specified region for(auto iter = container.getRegionIterator(lowCorne...
Definition: VerletClusterLists.h:599
void deleteAllParticles() override
Deletes all particles.
Definition: VerletClusterLists.h:966
void fillClusterRanges(size_t numClusterPairsPerThread, int numThreads)
Fills in the cluster ranges of the cluster thread partition.
Definition: VerletClusterLists.h:1087
VerletClusterLists(const std::array< double, 3 > &boxMin, const std::array< double, 3 > &boxMax, double cutoff, double skin, size_t clusterSize, LoadEstimatorOption loadEstimator=LoadEstimatorOption::none)
Constructor of the VerletClusterLists class.
Definition: VerletClusterLists.h:97
void reduce(Lambda reduceLambda, A &result, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo) const
Reduce properties of particles as defined by a lambda function.
Definition: VerletClusterLists.h:540
size_t getNumberOfParticles(IteratorBehavior behavior) const override
Get the number of particles with respect to the specified IteratorBehavior.
Definition: VerletClusterLists.h:832
void forEachInRegion(Lambda forEachLambda, const std::array< double, 3 > &lowerCorner, const std::array< double, 3 > &higherCorner, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo) const
Execute code on all particles in this container in a certain region as defined by a lambda function.
Definition: VerletClusterLists.h:663
void traverseClustersParallel(LoopBody &&loopBody)
Helper method to iterate over all clusters in parallel.
Definition: VerletClusterLists.h:1038
const std::array< double, 3 > & getHaloBoxMin() const
Get the lower corner of the halo box.
Definition: VerletClusterLists.h:950
const internal::VerletClusterListsRebuilder< Particle_T >::NeighborListsBuffer_T & getNeighborLists() const
Get the neighbor lists buffer object.
Definition: VerletClusterLists.h:976
double getCutoff() const override
Return the cutoff of the container.
Definition: VerletClusterLists.h:952
internal::ClusterTower< Particle_T > & getTowerByIndex(size_t x, size_t y)
Returns a reference to the tower for the given tower grid coordinates.
Definition: VerletClusterLists.h:923
auto getTowerSideLength() const
Returns the grid side length of the grids in the container.
Definition: VerletClusterLists.h:867
void reduceInRegion(Lambda reduceLambda, A &result, const std::array< double, 3 > &lowerCorner, const std::array< double, 3 > &higherCorner, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo) const
Execute code on all particles in this container in a certain region as defined by a lambda function.
Definition: VerletClusterLists.h:740
ContainerIterator< Particle_T, false, false > begin(IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo, utils::optRef< typename ContainerIterator< Particle_T, false, false >::ParticleVecType > additionalVectors=std::nullopt) const override
Iterate over all particles using for(auto iter = container.begin(); iter.isValid(); ++iter) .
Definition: VerletClusterLists.h:443
const std::array< double, 3 > & getBoxMax() const override
Get the upper corner of the container without halo.
Definition: VerletClusterLists.h:936
void reserve(size_t numParticles, size_t numParticlesHaloEstimate) override
Reserve memory for a given number of particles in the container and logic layers.
Definition: VerletClusterLists.h:172
void setCutoff(double cutoff) override
Set the cutoff of the container.
Definition: VerletClusterLists.h:954
bool deleteParticle(Particle_T &particle) override
Deletes the given particle as long as this does not compromise the validity of the container.
Definition: VerletClusterLists.h:350
std::tuple< const Particle_T *, size_t, size_t > getParticle(size_t cellIndex, size_t particleIndex, IteratorBehavior iteratorBehavior) const override
Fetch the pointer to a particle, identified via a cell and particle index.
Definition: VerletClusterLists.h:263
auto getNumClusters() const
Returns the number of clusters in this container.
Definition: VerletClusterLists.h:861
std::vector< Particle_T > updateContainer(bool keepNeighborListsValid) override
Updates the container.
Definition: VerletClusterLists.h:362
void rebuildTowersAndClusters(bool newton3)
Initializes a new VerletClusterListsRebuilder and uses it to rebuild the towers and the clusters.
Definition: VerletClusterLists.h:985
void calculateClusterThreadPartition()
Calculates a cluster thread partition that aims to give each thread about the same amount of cluster ...
Definition: VerletClusterLists.h:1060
void extractParticlesFromSoAs(Functor *functor)
Extracts all SoAs of the container into the particles.
Definition: VerletClusterLists.h:908
void forEachInRegion(Lambda forEachLambda, const std::array< double, 3 > &lowerCorner, const std::array< double, 3 > &higherCorner, IteratorBehavior behavior=autopas::IteratorBehavior::ownedOrHalo)
Execute code on all particles in this container in a certain region as defined by a lambda function.
Definition: VerletClusterLists.h:630
bool updateHaloParticle(const Particle_T &haloParticle) override
Update a halo particle of the container with the given haloParticle.
Definition: VerletClusterLists.h:194
void notifyParticleDeleted() override
If a particle is deleted, we want _isValid to be set to invalid, as the tower structure is invalidate...
Definition: VerletClusterLists.h:1157
const auto & getClusterThreadPartition() const
Returns the cluster-thread-partition.
Definition: VerletClusterLists.h:855
Class to manage the grid of towers for the Verlet Cluster Lists container.
Definition: ClusterTowerBlock2D.h:25
This class represents one tower for clusters in the VerletClusterLists container.
Definition: ClusterTower.h:43
Class that is notified when a particle is deleted.
Definition: ParticleDeletedObserver.h:15
static void exception(const Exception e)
Handle an exception derived by std::exception.
Definition: ExceptionHandler.h:63
std::vector< typename ContainerType::ParticleType > collectParticlesAndMarkNonOwnedAsDummy(ContainerType &container)
Collects leaving particles and marks halo particles as dummy.
Definition: LeavingParticleCollector.h:85
void markParticleAsDeleted(Particle_T &p)
Marks a particle as deleted.
Definition: markParticleAsDeleted.h:23
void deleteParticle(ParticleIterator &iterator)
Function to access private iterator.deleteCurrentParticle() via friend.
Definition: ContainerIterator.h:37
constexpr std::array< T, SIZE > subScalar(const std::array< T, SIZE > &a, T s)
Subtracts a scalar s from each element of array a and returns the result.
Definition: ArrayMath.h:164
constexpr std::array< T, SIZE > addScalar(const std::array< T, SIZE > &a, T s)
Adds a scalar s to each element of array a and returns the result.
Definition: ArrayMath.h:147
bool boxesOverlap(const std::array< T, 3 > &boxALow, const std::array< T, 3 > &boxAHigh, const std::array< T, 3 > &boxBLow, const std::array< T, 3 > &boxBHigh)
Checks if two boxes have overlap.
Definition: inBox.h:67
bool inBox(const std::array< T, 3 > &position, const std::array< T, 3 > &low, const std::array< T, 3 > &high)
Checks if position is inside of a box defined by low and high.
Definition: inBox.h:26
std::optional< std::reference_wrapper< T > > optRef
Short alias for std::optional<std::reference_wrapper<T>>
Definition: optRef.h:16
This is the main namespace of AutoPas.
Definition: AutoPasDecl.h:32
int autopas_get_num_threads()
Dummy for omp_get_num_threads() when no OpenMP is available.
Definition: WrapOpenMP.h:138
int autopas_get_max_threads()
Dummy for omp_get_max_threads() when no OpenMP is available.
Definition: WrapOpenMP.h:144
int autopas_get_thread_num()
Dummy for omp_set_lock() when no OpenMP is available.
Definition: WrapOpenMP.h:132
Defines a cluster range used in the static cluster-thread-partition.
Definition: VerletClusterLists.h:70
size_t startIndexInTower
The index of the first cluster in its tower.
Definition: VerletClusterLists.h:78
size_t startTowerIndex
The index of the tower that contains the first cluster.
Definition: VerletClusterLists.h:74
size_t numClusters
The number of clusters in the range.
Definition: VerletClusterLists.h:82