/**
* Copies this data and the RingBuffer data from host to device.
*/
void hostToDevice()
{
__startTransaction(__getTransactionEvent());
ringBuffer->hostToDevice();
EventTask ev1 = __endTransaction();
__startTransaction(__getTransactionEvent());
GridBuffer<VALUE, DIM1, BORDERVALUE>::hostToDevice();
__setTransactionEvent(__endTransaction() + ev1);
}
/**
* Copies data and additional pointers from host to device.
*/
void hostToDevice()
{
__startTransaction(__getTransactionEvent());
ringDataSizes->hostToDevice();
EventTask ev1 = __endTransaction();
__startTransaction(__getTransactionEvent());
ringData->hostToDevice();
__setTransactionEvent(__endTransaction() + ev1);
}
/**
* Copies data and additional pointers from device to host.
*/
void deviceToHost()
{
__startTransaction(__getTransactionEvent());
ringDataSizes->deviceToHost();
EventTask ev1 = __endTransaction();
__startTransaction(__getTransactionEvent());
ringData->deviceToHost();
__setTransactionEvent(__endTransaction() + ev1);
}
/**
* Notifies registered output classes.
*
* This function is called automatically.
*
* @param currentStep simulation step
*/
virtual void dumpOneStep(uint32_t currentStep)
{
/* trigger notification */
Environment<DIM>::get().PluginConnector().notifyPlugins(currentStep);
/* trigger checkpoint notification */
if(
!checkpointPeriod.empty() &&
pluginSystem::containsStep(
seqCheckpointPeriod,
currentStep
)
)
{
/* first synchronize: if something failed, we can spare the time
* for the checkpoint writing */
CUDA_CHECK(cudaDeviceSynchronize());
CUDA_CHECK(cudaGetLastError());
// avoid deadlock between not finished PMacc tasks and MPI_Barrier
__getTransactionEvent().waitForFinished();
GridController<DIM> &gc = Environment<DIM>::get().GridController();
/* can be spared for better scalings, but allows to spare the
* time for checkpointing if some ranks died */
MPI_CHECK(MPI_Barrier(gc.getCommunicator().getMPIComm()));
/* create directory containing checkpoints */
if (numCheckpoints == 0)
{
Environment<DIM>::get().Filesystem().createDirectoryWithPermissions(checkpointDirectory);
}
Environment<DIM>::get().PluginConnector().checkpointPlugins(currentStep,
checkpointDirectory);
/* important synchronize: only if no errors occured until this
* point guarantees that a checkpoint is usable */
CUDA_CHECK(cudaDeviceSynchronize());
CUDA_CHECK(cudaGetLastError());
/* avoid deadlock between not finished PMacc tasks and MPI_Barrier */
__getTransactionEvent().waitForFinished();
/* \todo in an ideal world with MPI-3, this would be an
* MPI_Ibarrier call and this function would return a MPI_Request
* that could be checked */
MPI_CHECK(MPI_Barrier(gc.getCommunicator().getMPIComm()));
if (gc.getGlobalRank() == 0)
{
writeCheckpointStep(currentStep);
}
numCheckpoints++;
}
}
/**
* Copies this data and the RingBuffer data from device to host.
*/
void deviceToHost()
{
__startTransaction(__getTransactionEvent());
ringBuffer->deviceToHost();
EventTask ev1 = __endTransaction();
__startTransaction(__getTransactionEvent());
GridBuffer<VALUE, DIM1, BORDERVALUE>::deviceToHost();
EventTask ev2 = __endTransaction();
__setTransactionEvent(ev1 + ev2);
}
/* host constructor initializing member : random number generator */
ThomasFermi_Impl(const uint32_t currentStep) : randomGen(RNGFactory::createRandom<Distribution>())
{
/* create handle for access to host and device data */
DataConnector &dc = Environment<>::get().DataConnector();
/* The compiler is allowed to evaluate an expression that does not depend on a template parameter
* even if the class is never instantiated. In that case static assert is always
* evaluated (e.g. with clang), this results in an error if the condition is false.
* http://www.boost.org/doc/libs/1_60_0/doc/html/boost_staticassert.html
*
* A workaround is to add a template dependency to the expression.
* `sizeof(ANY_TYPE) != 0` is always true and defers the evaluation.
*/
PMACC_CASSERT_MSG(
_please_allocate_at_least_two_FieldTmp_slots_in_memory_param,
( fieldTmpNumSlots >= 2 ) && ( sizeof( T_IonizationAlgorithm ) != 0 )
);
/* initialize pointers on host-side density-/energy density field databoxes */
auto density = dc.get< FieldTmp >( FieldTmp::getUniqueId( 0 ), true );
auto eneKinDens = dc.get< FieldTmp >( FieldTmp::getUniqueId( 1 ), true );
/* reset density and kinetic energy values to zero */
density->getGridBuffer().getDeviceBuffer().setValue( FieldTmp::ValueType( 0. ) );
eneKinDens->getGridBuffer().getDeviceBuffer().setValue( FieldTmp::ValueType( 0. ) );
/* load species without copying the particle data to the host */
auto srcSpecies = dc.get< SrcSpecies >( SrcSpecies::FrameType::getName(), true );
/* kernel call for weighted ion density calculation */
density->template computeValue< CORE + BORDER, DensitySolver >(*srcSpecies, currentStep);
dc.releaseData( SrcSpecies::FrameType::getName() );
EventTask densityEvent = density->asyncCommunication( __getTransactionEvent() );
densityEvent += density->asyncCommunicationGather( densityEvent );
/* load species without copying the particle data to the host */
auto destSpecies = dc.get< DestSpecies >( DestSpecies::FrameType::getName(), true );
/* kernel call for weighted electron energy density calculation */
eneKinDens->template computeValue< CORE + BORDER, EnergyDensitySolver >(*destSpecies, currentStep);
dc.releaseData( DestSpecies::FrameType::getName() );
EventTask eneKinEvent = eneKinDens->asyncCommunication( __getTransactionEvent() );
eneKinEvent += eneKinDens->asyncCommunicationGather( eneKinEvent );
/* contributions from neighboring GPUs to our border area */
__setTransactionEvent( densityEvent + eneKinEvent );
/* initialize device-side density- and energy density field databox pointers */
rhoBox = density->getDeviceDataBox();
eneBox = eneKinDens->getDeviceDataBox();
}
static void addOneParticle(ParticlesClass& parClass, MappingDesc cellDescription, DataSpace<DIM3> globalCell)
{
PMACC_AUTO(simBox, SubGrid<simDim>::getInstance().getSimulationBox());
const DataSpace<DIM3> globalTopLeft = simBox.getGlobalOffset();
const DataSpace<DIM3> localSimulationArea = simBox.getLocalSize();
DataSpace<DIM3> localParCell = globalCell - globalTopLeft;
for (int i = 0; i < (int) DIM3; ++i)
{
//chek if particle is in the simulation area
if (localParCell[i] < 0 || localParCell[i] >= localSimulationArea[i])
return;
}
//calculate supercell
DataSpace<DIM3> localSuperCell = (localParCell / MappingDesc::SuperCellSize::getDataSpace());
DataSpace<DIM3> cellInSuperCell = localParCell - (localSuperCell * MappingDesc::SuperCellSize::getDataSpace());
//add garding blocks to supercell
localSuperCell = localSuperCell + cellDescription.getGuardingSuperCells();
__cudaKernel(kernelAddOneParticle)
(1, 1)
(parClass.getDeviceParticlesBox(),
localSuperCell, cellInSuperCell);
parClass.fillAllGaps();
std::cout << "Wait for add particle" << std::endl;
__getTransactionEvent().waitForFinished();
}
void operator()(ThreadParams& params,
const std::string& name, T_Scalar* value,
const std::string& attrName = "", T_Attribute* attribute = nullptr)
{
log<picLog::INPUT_OUTPUT>("HDF5: read %1%D scalars: %2%") % simDim % name;
Dimensions domain_offset(0, 0, 0);
for (uint32_t d = 0; d < simDim; ++d)
domain_offset[d] = Environment<simDim>::get().GridController().getPosition()[d];
// avoid deadlock between not finished pmacc tasks and mpi calls in adios
__getTransactionEvent().waitForFinished();
DomainCollector::DomDataClass data_class;
DataContainer *dataContainer =
params.dataCollector->readDomain(params.currentStep,
name.c_str(),
Domain(domain_offset, Dimensions(1, 1, 1)),
&data_class);
typename traits::PICToSplash<T_Scalar>::type splashType;
*value = *static_cast<T_Scalar*>(dataContainer->getIndex(0)->getData());
__delete(dataContainer);
if(!attrName.empty())
{
log<picLog::INPUT_OUTPUT>("HDF5: read attribute %1% for scalars: %2%") % attrName % name;
params.dataCollector->readAttributeInfo(params.currentStep, name.c_str(), attrName.c_str()).read(attribute, sizeof(T_Attribute));
log<picLog::INPUT_OUTPUT>("HDF5: attribute %1% = %2%") % attrName % *attribute;
}
}
TaskFieldReceiveAndInsertExchange(Field &buffer, uint32_t exchange) :
m_buffer(buffer),
m_exchange(exchange),
m_state(Constructor),
initDependency(__getTransactionEvent())
{
}
static void addOneParticle(ParticlesClass& parClass, MappingDesc cellDescription, DataSpace<simDim> globalCell)
{
const SubGrid<simDim>& subGrid = Environment<simDim>::get().SubGrid();
const DataSpace<simDim> globalTopLeft = subGrid.getLocalDomain().offset;
const DataSpace<simDim> localSimulationArea = subGrid.getLocalDomain().size;
DataSpace<simDim> localParCell = globalCell - globalTopLeft;
for (int i = 0; i < (int) simDim; ++i)
{
//chek if particle is in the simulation area
if (localParCell[i] < 0 || localParCell[i] >= localSimulationArea[i])
return;
}
//calculate supercell
DataSpace<simDim> localSuperCell = (localParCell / MappingDesc::SuperCellSize::toRT());
DataSpace<simDim> cellInSuperCell = localParCell - (localSuperCell * MappingDesc::SuperCellSize::toRT());
//add garding blocks to supercell
localSuperCell = localSuperCell + cellDescription.getGuardingSuperCells();
__cudaKernel(kernelAddOneParticle)
(1, 1)
(parClass.getDeviceParticlesBox(),
localSuperCell, cellInSuperCell);
parClass.fillAllGaps();
std::cout << "Wait for add particle" << std::endl;
__getTransactionEvent().waitForFinished();
}
void oneStep(uint32_t currentStep, Buffer* read, Buffer* write)
{
PMACC_AUTO(splitEvent, __getTransactionEvent());
/* GridBuffer 'read' will use 'splitEvent' to schedule transaction *
* tasks from the Guard of this local Area to the Borders of the *
* neighboring areas added by 'addExchange'. All transactions in *
* Transaction Manager will then be done in parallel to the *
* calculations in the core. In order to synchronize the data *
* transfer for the case the core calculation is finished earlier, *
* GridBuffer.asyncComm returns a transaction handle we can check */
PMACC_AUTO(send, read->asyncCommunication(splitEvent));
evo.run<CORE>( read->getDeviceBuffer().getDataBox(),
write->getDeviceBuffer().getDataBox() );
/* Join communication with worker tasks, Now all next tasks run sequential */
__setTransactionEvent(send);
/* Calculate Borders */
evo.run<BORDER>( read->getDeviceBuffer().getDataBox(),
write->getDeviceBuffer().getDataBox() );
write->deviceToHost();
/* gather::operator() gathers all the buffers and assembles those to *
* a complete picture discarding the guards. */
PMACC_AUTO(picture, gather(write->getHostBuffer().getDataBox()));
PngCreator png;
if (isMaster) png(currentStep, picture, gridSize);
}
TaskReceiveParticlesExchange(ParBase &parBase, uint32_t exchange) :
parBase(parBase),
exchange(exchange),
state(Constructor),
maxSize(parBase.getParticlesBuffer().getReceiveExchangeStack(exchange).getMaxParticlesCount()),
initDependency(__getTransactionEvent()),
lastSize(0) { }
TaskFieldSendExchange(Field &buffer, uint32_t exchange) :
buffer(buffer),
exchange(exchange),
state(Constructor),
initDependency(__getTransactionEvent())
{
}
/** Functor
*
* @param currentStep the current time step
* @param speciesGroup naming for the group of species in T_SpeciesList
*/
void operator()(
uint32_t currentStep,
std::string const & speciesGroup
)
{
// generating a density requires at least one slot in FieldTmp
PMACC_CASSERT_MSG(
_please_allocate_at_least_one_FieldTmp_in_memory_param,
fieldTmpNumSlots > 0
);
DataConnector &dc = Environment<>::get().DataConnector();
// load FieldTmp without copy data to host and zero it
auto fieldTmp = dc.get< FieldTmp >(
FieldTmp::getUniqueId( 0 ),
true
);
using DensityValueType = typename FieldTmp::ValueType;
fieldTmp->getGridBuffer().getDeviceBuffer().setValue( DensityValueType::create(0.0) );
// add density of each species in list to FieldTmp
ForEach< SpeciesList, detail::AddSingleDensity< bmpl::_1 > > addSingleDensity;
addSingleDensity( currentStep, forward( fieldTmp ) );
/* create valid density in the BORDER region
* note: for average != supercell multiples the GUARD of fieldTmp
* also needs to be filled in the communication above
*/
EventTask fieldTmpEvent = fieldTmp->asyncCommunication(__getTransactionEvent());
__setTransactionEvent(fieldTmpEvent);
/* average summed density in FieldTmp down to local resolution and
* write in new field
*/
auto nlocal = dc.get< LocalDensity >(
helperFields::LocalDensity::getName( speciesGroup ),
true
);
constexpr uint32_t numWorkers = pmacc::traits::GetNumWorkers<
pmacc::math::CT::volume< SuperCellSize >::type::value
>::value;
PMACC_KERNEL( helperFields::KernelAverageDensity< numWorkers >{ } )
(
// one block per averaged density value
nlocal->getGridBuffer().getGridLayout().getDataSpaceWithoutGuarding(),
numWorkers
)
(
// start in border (jump over GUARD area)
fieldTmp->getDeviceDataBox().shift( SuperCellSize::toRT() * GuardSize::toRT() ),
// start in border (has no GUARD area)
nlocal->getGridBuffer().getDeviceBuffer( ).getDataBox( )
);
// release fields
dc.releaseData( FieldTmp::getUniqueId( 0 ) );
dc.releaseData( helperFields::LocalDensity::getName( speciesGroup ) );
}
/**
* Resets all internal buffers.
*/
void reset()
{
__startTransaction(__getTransactionEvent());
frames->reset(false);
frames->initialFillBuffer();
EventTask ev1 = __endTransaction();
__startTransaction(__getTransactionEvent());
superCells->getDeviceBuffer().setValue(SuperCell<vint_t > ());
superCells->getHostBuffer().setValue(SuperCell<vint_t > ());
/*nextFrames->getDeviceBuffer().setValue(INV_IDX);//!\todo: is this needed? On device we set any new frame values to INVALID_INDEX
prevFrames->getDeviceBuffer().setValue(INV_IDX);//!\todo: is this needed? On device we set any new frame values to INVALID_INDEX
nextFrames->getHostBuffer().setValue(INV_IDX);//!\todo: is this needed? On device we set any new frame values to INVALID_INDEX
prevFrames->getHostBuffer().setValue(INV_IDX);//!\todo: is this needed? On device we set any new frame values to INVALID_INDEX
*/
__setTransactionEvent(__endTransaction() + ev1);
}
HINLINE void operator()(Functor, Type* dest, Type* src, const size_t count, MPI_Datatype type, MPI_Op op, MPI_Comm comm) const
{
// avoid deadlock between not finished pmacc tasks and mpi blocking collectives
__getTransactionEvent().waitForFinished();
MPI_CHECK(MPI_Allreduce((void*) src,
(void*) dest,
count,
type,
op, comm));
}
/**
* Starts copying data from device to host.
*/
void deviceToHost()
{
__startTransaction(__getTransactionEvent());
frames->deviceToHost();
EventTask ev1 = __endTransaction();
__startTransaction(__getTransactionEvent());
superCells->deviceToHost();
EventTask ev2 = __endTransaction();
__startTransaction(__getTransactionEvent());
nextFrames->deviceToHost();
EventTask ev3 = __endTransaction();
__startTransaction(__getTransactionEvent());
prevFrames->deviceToHost();
EventTask ev4 = __endTransaction();
__setTransactionEvent(ev1 + ev2 + ev3 + ev4);
}
void operator()(ThreadParams& params,
const std::string& name, T_Scalar value,
const std::string& attrName = "", T_Attribute attribute = T_Attribute())
{
log<picLog::INPUT_OUTPUT>("HDF5: write %1%D scalars: %2%") % simDim % name;
// Size over all processes
Dimensions globalSize(1, 1, 1);
// Offset for this process
Dimensions localOffset(0, 0, 0);
// Offset for all processes
Dimensions globalOffset(0, 0, 0);
for (uint32_t d = 0; d < simDim; ++d)
{
globalSize[d] = Environment<simDim>::get().GridController().getGpuNodes()[d];
localOffset[d] = Environment<simDim>::get().GridController().getPosition()[d];
}
Dimensions localSize(1, 1, 1);
// avoid deadlock between not finished pmacc tasks and mpi calls in adios
__getTransactionEvent().waitForFinished();
typename traits::PICToSplash<T_Scalar>::type splashType;
params.dataCollector->writeDomain(params.currentStep, /* id == time step */
globalSize, /* total size of dataset over all processes */
localOffset, /* write offset for this process */
splashType, /* data type */
simDim, /* NDims spatial dimensionality of the field */
splash::Selection(localSize), /* data size of this process */
name.c_str(), /* data set name */
splash::Domain(
globalOffset, /* offset of the global domain */
globalSize /* size of the global domain */
),
DomainCollector::GridType,
&value);
if(!attrName.empty())
{
/*simulation attribute for data*/
typename traits::PICToSplash<T_Attribute>::type attType;
log<picLog::INPUT_OUTPUT>("HDF5: write attribute %1% for scalars: %2%") % attrName % name;
params.dataCollector->writeAttribute(params.currentStep,
attType, name.c_str(),
attrName.c_str(), &attribute);
}
}
virtual void init()
{
state = Init;
EventTask serialEvent = __getTransactionEvent();
for (int i = 1; i < Exchanges; ++i)
{
if (buffer.getGridBuffer().hasSendExchange(i))
{
__startAtomicTransaction(serialEvent);
FieldFactory::getInstance().createTaskFieldSendExchange(buffer, i);
tmpEvent += __endTransaction();
}
}
state = WaitForSend;
}
void shiftParticles()
{
StrideMapping<AREA, DIM3, MappingDesc> mapper(this->cellDescription);
ParticlesBoxType pBox = particlesBuffer->getDeviceParticleBox();
__startTransaction(__getTransactionEvent());
do
{
__cudaKernel(kernelShiftParticles)
(mapper.getGridDim(), TileSize)
(pBox, mapper);
}
while (mapper.next());
__setTransactionEvent(__endTransaction());
}
/** Read the skalar field and optionally the attribute into the values referenced by the pointers */
void operator()(ThreadParams& params,
const std::string& name, T_Scalar* value,
const std::string& attrName = "", T_Attribute* attribute = nullptr)
{
log<picLog::INPUT_OUTPUT> ("ADIOS: read %1%D scalars: %2%") % simDim % name;
std::string datasetName = params.adiosBasePath + name;
ADIOS_VARINFO* varInfo;
ADIOS_CMD_EXPECT_NONNULL( varInfo = adios_inq_var(params.fp, datasetName.c_str()) );
if(varInfo->ndim != simDim)
throw std::runtime_error(std::string("Invalid dimensionality for ") + name);
if(varInfo->type != traits::PICToAdios<T_Scalar>().type)
throw std::runtime_error(std::string("Invalid type for ") + name);
DataSpace<simDim> gridPos = Environment<simDim>::get().GridController().getPosition();
uint64_t start[varInfo->ndim];
uint64_t count[varInfo->ndim];
for(int d = 0; d < varInfo->ndim; ++d)
{
/* \see adios_define_var: z,y,x in C-order */
start[d] = gridPos.revert()[d];
count[d] = 1;
}
ADIOS_SELECTION* fSel = adios_selection_boundingbox(varInfo->ndim, start, count);
// avoid deadlock between not finished pmacc tasks and mpi calls in adios
__getTransactionEvent().waitForFinished();
/* specify what we want to read, but start reading at below at `adios_perform_reads` */
/* magic parameters (0, 1): `from_step` (not used in streams), `nsteps` to read (must be 1 for stream) */
log<picLog::INPUT_OUTPUT > ("ADIOS: Schedule read skalar %1%)") % datasetName;
ADIOS_CMD( adios_schedule_read(params.fp, fSel, datasetName.c_str(), 0, 1, (void*)value) );
/* start a blocking read of all scheduled variables */
ADIOS_CMD( adios_perform_reads(params.fp, 1) );
adios_selection_delete(fSel);
adios_free_varinfo(varInfo);
if(!attrName.empty())
{
log<picLog::INPUT_OUTPUT> ("ADIOS: read attribute %1% for scalars: %2%") % attrName % name;
*attribute = readAttribute<T_Attribute>(params.fp, datasetName, attrName);
}
}
void setCurrentSize(const size_t size)
{
// do host and device setCurrentSize parallel
EventTask split = __getTransactionEvent();
__startTransaction(split);
stackIndexer.getHostBuffer().setCurrentSize(size);
stack.getHostBuffer().setCurrentSize(size);
EventTask e1 = __endTransaction();
__startTransaction(split);
stackIndexer.getDeviceBuffer().setCurrentSize(size);
EventTask e2 = __endTransaction();
__startTransaction(split);
stack.getDeviceBuffer().setCurrentSize(size);
EventTask e3 = __endTransaction();
__setTransactionEvent(e1 + e2 + e3);
}
HINLINE void operator()(
T_StorageTuple& tuple,
const uint32_t currentStep,
const T_Event eventInt,
T_Event& updateEvent,
T_Event& commEvent
) const
{
typedef typename HasFlag<FrameType, particlePusher<> >::type hasPusher;
if (hasPusher::value)
{
PMACC_AUTO(speciesPtr, tuple[SpeciesName()]);
__startTransaction(eventInt);
speciesPtr->update(currentStep);
commEvent += speciesPtr->asyncCommunication(__getTransactionEvent());
updateEvent += __endTransaction();
}
}
/**
* Starts sync data from own device buffer to neigbhor device buffer.
*
* Asynchronously starts syncronization data from internal DeviceBuffer using added
* Exchange buffers.
* This operation runs sequential to other code but intern asyncron
*
*/
EventTask communication()
{
EventTask ev = this->asyncCommunication(__getTransactionEvent());
__setTransactionEvent(ev);
return ev;
}
HINLINE typename traits::GetValueType<Src>::ValueType operator()(Functor func, Src src, uint32_t n)
{
/* - the result of a functor can be a reference or a const value
* - it is not allowed to create const or reference memory
* thus we remove `references` and `const` qualifiers */
typedef typename boost::remove_const<
typename boost::remove_reference<
typename traits::GetValueType<Src>::ValueType
>::type
>::type Type;
uint32_t blockcount = optimalThreadsPerBlock(n, sizeof (Type));
uint32_t n_buffer = byte / sizeof (Type);
uint32_t threads = n_buffer * blockcount * 2; /* x2 is used thus we can use all byte in Buffer, after we calculate threads/2 */
if (threads > n) threads = n;
Type* dest = (Type*) reduceBuffer->getDeviceBuffer().getBasePointer();
uint32_t blocks = threads / 2 / blockcount;
if (blocks == 0) blocks = 1;
__cudaKernel((kernel::reduce < Type >))(blocks, blockcount, blockcount * sizeof (Type))(src, n, dest, func,
PMacc::nvidia::functors::Assign());
n = blocks;
blockcount = optimalThreadsPerBlock(n, sizeof (Type));
blocks = n / 2 / blockcount;
if (blocks == 0 && n > 1) blocks = 1;
while (blocks != 0)
{
if (blocks > 1)
{
uint32_t blockOffset = ceil((double) blocks / blockcount);
uint32_t useBlocks = blocks - blockOffset;
uint32_t problemSize = n - (blockOffset * blockcount);
Type* srcPtr = dest + (blockOffset * blockcount);
__cudaKernel((kernel::reduce < Type >))(useBlocks, blockcount, blockcount * sizeof (Type))(srcPtr, problemSize, dest, func, func);
blocks = blockOffset*blockcount;
}
else
{
__cudaKernel((kernel::reduce < Type >))(blocks, blockcount, blockcount * sizeof (Type))(dest, n, dest, func,
PMacc::nvidia::functors::Assign());
}
n = blocks;
blockcount = optimalThreadsPerBlock(n, sizeof (Type));
blocks = n / 2 / blockcount;
if (blocks == 0 && n > 1) blocks = 1;
}
reduceBuffer->deviceToHost();
__getTransactionEvent().waitForFinished();
return *((Type*) (reduceBuffer->getHostBuffer().getBasePointer()));
}
