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isaac.hpp
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isaac.hpp
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/* This file is part of ISAAC.
*
* ISAAC is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* ISAAC is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with ISAAC. If not, see <www.gnu.org/licenses/>. */
#pragma once
/* Hack for a bug, which occurs only in CUDA 7.0
* __CUDACC_VER_MAJOR__ is first defined in CUDA 7.5, so this checks for
* CUDA Version < 7.5 */
#if !defined(__CUDACC_VER_MAJOR__) && !defined(BOOST_RESULT_OF_USE_TR1)
#define BOOST_RESULT_OF_USE_TR1
#endif
#include <iostream>
#include <random>
#include <string>
#include <string.h>
#include <jansson.h>
#include <pthread.h>
#include <list>
#include <vector>
#include <stdexcept>
#include <memory>
#include <mpi.h>
//Against annoying C++11 warning in mpi.h
#include <IceT.h>
#pragma GCC diagnostic push
#pragma GCC diagnostic error "-Wall"
#include <IceTMPI.h>
#pragma GCC diagnostic pop
#include <math.h>
#include <stdio.h>
#include <assert.h>
#include <map>
#if ISAAC_ALPAKA == 1
#include <alpaka/alpaka.hpp>
#include <boost/type_traits.hpp>
#include <boost/mpl/not.hpp>
#else
#include <boost/mpl/int.hpp>
#endif
#include "isaac/isaac_kernel.hpp"
#include "isaac/isaac_communicator.hpp"
#include "isaac/isaac_helper.hpp"
#include "isaac/isaac_controllers.hpp"
#include "isaac/isaac_compositors.hpp"
#include "isaac/isaac_compositors.hpp"
#include "isaac/isaac_version.hpp"
namespace isaac
{
template<
#if ISAAC_ALPAKA == 1
typename THost,
typename TAcc,
typename TStream,
typename TAccDim,
#endif
typename TSimDim,
typename TParticleList,
typename TSourceList,
typename TDomainSize,
ISAAC_IDX_TYPE TTransfer_size,
typename TScale,
typename TController,
typename TCompositor
>
class IsaacVisualization
{
public:
IsaacCommunicator * getCommunicator( )
{
return communicator;
}
#if ISAAC_ALPAKA == 1
using TDevAcc = alpaka::Dev< TAcc >;
using TFraDim = alpaka::DimInt< 1 >;
using TTexDim = alpaka::DimInt< 1 >;
#endif
struct source_2_json_iterator
{
template<
typename TSource,
typename TJsonRoot
>
ISAAC_HOST_INLINE void operator()(
const int I,
const TSource & s,
TJsonRoot & jsonRoot
) const
{
json_t * content = json_object( );
json_array_append_new(
jsonRoot,
content
);
json_object_set_new(
content,
"name",
json_string( TSource::getName( ).c_str( ) )
);
json_object_set_new(
content,
"feature dimension",
json_integer( s.feature_dim )
);
}
};
struct particle_source_2_json_iterator
{
template<
typename TSource,
typename TJsonRoot
>
ISAAC_HOST_INLINE void operator()(
const int I,
const TSource & s,
TJsonRoot & jsonRoot
) const
{
json_t * content = json_object( );
json_array_append_new(
jsonRoot,
content
);
json_object_set_new(
content,
"name",
json_string( TSource::getName( ).c_str( ) )
);
json_object_set_new(
content,
"feature dimension",
json_integer( 3 )
);
}
};
struct functor_2_json_iterator
{
template<
typename TFunctor,
typename TJsonRoot
>
ISAAC_HOST_INLINE void operator()(
const int I,
const TFunctor & f,
TJsonRoot & jsonRoot
) const
{
json_t * content = json_object( );
json_array_append_new(
jsonRoot,
content
);
json_object_set_new(
content,
"name",
json_string( TFunctor::getName( ).c_str( ) )
);
json_object_set_new(
content,
"description",
json_string( TFunctor::getDescription( ).c_str( ) )
);
json_object_set_new(
content,
"uses parameter",
json_boolean( TFunctor::uses_parameter )
);
}
};
struct parse_functor_iterator
{
template<
typename TFunctor,
typename TName,
typename TValue,
typename TFound
>
ISAAC_HOST_INLINE void operator()(
const int I,
TFunctor & f,
const TName & name,
TValue & value,
TFound & found
) const
{
if( !found && name == TFunctor::getName( ) )
{
value = I;
found = true;
}
}
};
struct update_functor_chain_iterator
{
template<
typename TSource,
typename TFunctions,
typename TOffset,
typename TDest
>
ISAAC_HOST_INLINE void operator()(
const int I,
const TSource & source,
const TFunctions & functions,
const TOffset & offset,
TDest & dest
) const
{
isaac_int chain_nr = 0;
for( int i = 0; i < ISAAC_MAX_FUNCTORS; i++ )
{
chain_nr *= ISAAC_FUNCTOR_COUNT;
chain_nr += functions[I + offset].bytecode[i];
}
dest.nr[I + offset] = chain_nr * 4 + TSource::feature_dim - 1;
}
};
struct allocate_pointer_array_iterator
{
template<
typename TSource,
typename TArray,
typename TLocalSize
#if ISAAC_ALPAKA == 1
,
typename TVector,
typename TDevAcc__
#endif
>
ISAAC_HOST_INLINE void operator()(
const int I,
const TSource & source,
TArray & pointer_array,
const TLocalSize & local_size
#if ISAAC_ALPAKA == 1
,
TVector & alpaka_vector,
const TDevAcc__ & acc
#endif
) const
{
if( TSource::persistent )
{
pointer_array.pointer[I] = NULL;
}
else
{
#if ISAAC_ALPAKA == 1
alpaka_vector.push_back(
alpaka::Buf<
TDevAcc,
isaac_float,
TFraDim,
ISAAC_IDX_TYPE
>(
alpaka::allocBuf<
isaac_float,
ISAAC_IDX_TYPE
>(
acc,
alpaka::Vec<
TFraDim,
ISAAC_IDX_TYPE
>(
ISAAC_IDX_TYPE(
TSource::feature_dim * (
local_size[0] + 2 * ISAAC_GUARD_SIZE
) * (
local_size[1] + 2 * ISAAC_GUARD_SIZE
) * (
local_size[2] + 2 * ISAAC_GUARD_SIZE
)
)
)
)
)
);
pointer_array.pointer[I] =
alpaka::getPtrNative( alpaka_vector.back( ) );
#else
ISAAC_CUDA_CHECK ( cudaMalloc(
( void ** ) &( pointer_array.pointer[I] ),
sizeof( isaac_float_dim < TSource::feature_dim > )
* ( local_size[0] + 2 * ISAAC_GUARD_SIZE )
* ( local_size[1] + 2 * ISAAC_GUARD_SIZE )
* ( local_size[2] + 2 * ISAAC_GUARD_SIZE )
) );
#endif
}
}
};
struct update_particle_source_iterator
{
/** Update iterator for particle sources
*
* Iterator for updating the particle sources with a boolean if the
* Particle Source is enabled and further user defined information
* in the pointer
*
* @tparam TParticleSource is the particle source type
* @tparam TWeight is weight type
* @tparam TOffset is the offset type
* @tparam TPointer is the pointer type
* @param I is the index of the current source
* @param particle_source is the current particle source
* @param weight is the array with all source weights
* @param weightArrayOffset is the offset in the array to the particle sources
* @param pointer is the pointer to the user defined additional information
*
*/
template<
typename TParticleSource,
typename TWeight,
typename TOffset,
typename TPointer
>
ISAAC_HOST_INLINE void operator()(
const int I,
TParticleSource & particle_source,
const TWeight & weight,
const TOffset & weightArrayOffset,
const TPointer & pointer
) const
{
bool enabled =
weight.value[I + weightArrayOffset] != isaac_float( 0 );
particle_source.update(
enabled,
pointer
);
}
};
struct update_pointer_array_iterator
{
template<
typename TSource,
typename TArray,
typename TLocalSize,
typename TWeight,
typename TPointer
#if ISAAC_ALPAKA == 1
,
typename TStream__
#endif
>
ISAAC_HOST_INLINE void operator()(
const int I,
TSource & source,
TArray & pointer_array,
const TLocalSize & local_size,
const TWeight & weight,
const TPointer & pointer
#if ISAAC_ALPAKA == 1
,
TStream__ & stream
#endif
) const
{
bool enabled = weight.value[I] != isaac_float( 0 );
source.update(
enabled,
pointer
);
if( !TSource::persistent && enabled )
{
isaac_size2 grid_size = {
ISAAC_IDX_TYPE(
( local_size[0] + ISAAC_GUARD_SIZE * 2 + 15 ) / 16
),
ISAAC_IDX_TYPE(
( local_size[1] + ISAAC_GUARD_SIZE * 2 + 15 ) / 16
),
};
isaac_size2 block_size = {
ISAAC_IDX_TYPE( 16 ),
ISAAC_IDX_TYPE( 16 ),
};
isaac_int3 local_size_array = {
isaac_int( local_size[0] ),
isaac_int( local_size[1] ),
isaac_int( local_size[2] )
};
#if ISAAC_ALPAKA == 1
#if ALPAKA_ACC_GPU_CUDA_ENABLED == 1
if ( mpl::not_<boost::is_same<TAcc, alpaka::AccGpuCudaRt<TAccDim, ISAAC_IDX_TYPE> > >::value )
#endif
{
grid_size.x = ISAAC_IDX_TYPE(
local_size[0] + ISAAC_GUARD_SIZE * 2
);
grid_size.y = ISAAC_IDX_TYPE(
local_size[0] + ISAAC_GUARD_SIZE * 2
);
block_size.x = ISAAC_IDX_TYPE( 1 );
block_size.y = ISAAC_IDX_TYPE( 1 );
}
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> threads(
ISAAC_IDX_TYPE( 1 ),
ISAAC_IDX_TYPE( 1 ),
ISAAC_IDX_TYPE( 1 )
);
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> blocks(
ISAAC_IDX_TYPE( 1 ),
block_size.x,
block_size.y
);
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> grid(
ISAAC_IDX_TYPE( 1 ),
grid_size.x,
grid_size.y
);
auto const workdiv(
alpaka::WorkDivMembers<
TAccDim,
ISAAC_IDX_TYPE
>(
grid,
blocks,
threads
)
);
updateBufferKernel< TSource > kernel;
auto const instance(
alpaka::createTaskKernel< TAcc >(
workdiv,
kernel,
source,
pointer_array.pointer[I],
local_size_array
)
);
alpaka::enqueue(
stream,
instance
);
alpaka::wait( stream );
#else
dim3 block(
block_size.x,
block_size.y
);
dim3 grid(
grid_size.x,
grid_size.y
);
updateBufferKernel <<< grid, block >>> (
source,
pointer_array.pointer[I],
local_size_array
);
ISAAC_CUDA_CHECK ( cudaDeviceSynchronize( ) );
#endif
}
}
};
struct calc_minmax_iterator
{
template<
typename TSource,
typename TArray,
typename TMinmax,
typename TLocalMinmax,
typename TLocalSize
#if ISAAC_ALPAKA == 1
,
typename TStream__,
typename THost__
#endif
>
ISAAC_HOST_INLINE void operator()(
const int I,
const TSource & source,
TArray & pointer_array,
TMinmax & minmax,
TLocalMinmax & local_minmax,
TLocalSize & local_size
#if ISAAC_ALPAKA == 1
,
TStream__ & stream,
const THost__ & host
#endif
) const
{
isaac_size2 grid_size = {
ISAAC_IDX_TYPE( ( local_size[0] + 15 ) / 16 ),
ISAAC_IDX_TYPE( ( local_size[1] + 15 ) / 16 ),
};
isaac_size2 block_size = {
ISAAC_IDX_TYPE( 16 ),
ISAAC_IDX_TYPE( 16 ),
};
isaac_int3 local_size_array = {
isaac_int( local_size[0] ),
isaac_int( local_size[1] ),
isaac_int( local_size[2] )
};
minmax_struct
local_minmax_array_h[local_size_array.x * local_size_array.y
];
if( local_size[0] != 0 && local_size[1] != 0 )
{
#if ISAAC_ALPAKA == 1
#if ALPAKA_ACC_GPU_CUDA_ENABLED == 1
if ( mpl::not_<boost::is_same<TAcc, alpaka::AccGpuCudaRt<TAccDim, ISAAC_IDX_TYPE> > >::value )
#endif
{
grid_size.x = ISAAC_IDX_TYPE( local_size[0] );
grid_size.y = ISAAC_IDX_TYPE( local_size[0] );
block_size.x = ISAAC_IDX_TYPE( 1 );
block_size.y = ISAAC_IDX_TYPE( 1 );
}
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> threads(
ISAAC_IDX_TYPE( 1 ),
ISAAC_IDX_TYPE( 1 ),
ISAAC_IDX_TYPE( 1 )
);
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> blocks(
ISAAC_IDX_TYPE( 1 ),
block_size.x,
block_size.y
);
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> grid(
ISAAC_IDX_TYPE( 1 ),
grid_size.x,
grid_size.y
);
auto const workdiv(
alpaka::WorkDivMembers<
TAccDim,
ISAAC_IDX_TYPE
>(
grid,
blocks,
threads
)
);
minMaxKernel< TSource > kernel;
auto const instance(
alpaka::createTaskKernel< TAcc >(
workdiv,
kernel,
source,
I,
alpaka::getPtrNative( local_minmax ),
local_size_array,
pointer_array.pointer[I]
)
);
alpaka::enqueue(
stream,
instance
);
alpaka::wait( stream );
alpaka::ViewPlainPtr <THost, minmax_struct, TFraDim, ISAAC_IDX_TYPE>
minmax_buffer(
local_minmax_array_h,
host,
alpaka::Vec<
TFraDim,
ISAAC_IDX_TYPE
>(
ISAAC_IDX_TYPE(
local_size_array.x * local_size_array.y
)
)
);
alpaka::memcpy(
stream,
minmax_buffer,
local_minmax,
alpaka::Vec<
TFraDim,
ISAAC_IDX_TYPE
>(
ISAAC_IDX_TYPE(
local_size_array.x * local_size_array.y
)
)
);
#else
dim3 block(
block_size.x,
block_size.y
);
dim3 grid(
grid_size.x,
grid_size.y
);
minMaxKernel <<< grid, block >>> (
source,
I,
local_minmax,
local_size_array,
pointer_array.pointer[I]
);
ISAAC_CUDA_CHECK ( cudaMemcpy(
local_minmax_array_h,
local_minmax,
sizeof( minmax_struct ) * local_size_array.x
* local_size_array.y,
cudaMemcpyDeviceToHost
) );
#endif
}
minmax.min[I] = FLT_MAX;
minmax.max[I] = -FLT_MAX;
for( int i = 0;
i < local_size_array.x * local_size_array.y;
i++ )
{
if( local_minmax_array_h[i].min < minmax.min[I] )
{
minmax.min[I] = local_minmax_array_h[i].min;
}
if( local_minmax_array_h[i].max > minmax.max[I] )
{
minmax.max[I] = local_minmax_array_h[i].max;
}
}
}
};
// calculate minmax for particles
template<
int TOffset
>
struct calc_particle_minmax_iterator
{
template<
typename TParticleSource,
typename TMinmax,
typename TLocalMinmax,
typename TLocalSize
#if ISAAC_ALPAKA == 1
,
typename TStream__,
typename THost__
#endif
>
ISAAC_HOST_INLINE void operator()(
const int I,
const TParticleSource & particle_source,
TMinmax & minmax,
TLocalMinmax & local_minmax,
TLocalSize & local_size
#if ISAAC_ALPAKA == 1
,
TStream__ & stream,
const THost__ & host
#endif
) const
{
// iterate over all cells and the particle lists
isaac_size2 grid_size = {
ISAAC_IDX_TYPE( ( local_size[0] + 15 ) / 16 ),
ISAAC_IDX_TYPE( ( local_size[1] + 15 ) / 16 ),
};
isaac_size2 block_size = {
ISAAC_IDX_TYPE( 16 ),
ISAAC_IDX_TYPE( 16 ),
};
isaac_int3 local_size_array = {
isaac_int( local_size[0] ),
isaac_int( local_size[1] ),
isaac_int( local_size[2] )
};
minmax_struct
local_minmax_array_h[local_size_array.x * local_size_array.y
];
if( local_size[0] != 0 && local_size[1] != 0 )
{
#if ISAAC_ALPAKA == 1
#if ALPAKA_ACC_GPU_CUDA_ENABLED == 1
if ( mpl::not_<boost::is_same<TAcc, alpaka::AccGpuCudaRt<TAccDim, ISAAC_IDX_TYPE> > >::value )
#endif
{
grid_size.x = ISAAC_IDX_TYPE( local_size[0] );
grid_size.y = ISAAC_IDX_TYPE( local_size[0] );
block_size.x = ISAAC_IDX_TYPE( 1 );
block_size.y = ISAAC_IDX_TYPE( 1 );
}
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> threads(
ISAAC_IDX_TYPE( 1 ),
ISAAC_IDX_TYPE( 1 ),
ISAAC_IDX_TYPE( 1 )
);
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> blocks(
ISAAC_IDX_TYPE( 1 ),
block_size.x,
block_size.y
);
const alpaka::Vec <TAccDim, ISAAC_IDX_TYPE> grid(
ISAAC_IDX_TYPE( 1 ),
grid_size.x,
grid_size.y
);
auto const workdiv(
alpaka::WorkDivMembers<
TAccDim,
ISAAC_IDX_TYPE
>(
grid,
blocks,
threads
)
);
minMaxPartikelKernel< TParticleSource > kernel;
auto const instance(
alpaka::createTaskKernel< TAcc >(
workdiv,
kernel,
particle_source,
I + TOffset,
alpaka::getPtrNative( local_minmax ),
local_size_array
)
);
alpaka::enqueue(
stream,
instance
);
alpaka::wait( stream );
alpaka::ViewPlainPtr <THost, minmax_struct, TFraDim, ISAAC_IDX_TYPE>
minmax_buffer(
local_minmax_array_h,
host,
alpaka::Vec<
TFraDim,
ISAAC_IDX_TYPE
>(
ISAAC_IDX_TYPE(
local_size_array.x * local_size_array.y
)
)
);
alpaka::memcpy(
stream,
minmax_buffer,
local_minmax,
alpaka::Vec<
TFraDim,
ISAAC_IDX_TYPE
>(
ISAAC_IDX_TYPE(
local_size_array.x * local_size_array.y
)
)
);
#else
dim3 block(
block_size.x,
block_size.y
);
dim3 grid(
grid_size.x,
grid_size.y
);
minMaxPartikelKernel <<< grid, block >>> (
particle_source,
I + TOffset,
local_minmax,
local_size_array
);
ISAAC_CUDA_CHECK ( cudaMemcpy(
local_minmax_array_h,
local_minmax,
sizeof( minmax_struct ) * local_size_array.x
* local_size_array.y,
cudaMemcpyDeviceToHost
) );
#endif
}
minmax.min[I + TOffset] = FLT_MAX;
minmax.max[I + TOffset] = -FLT_MAX;
// find the min and max
for( int i = 0;
i < local_size_array.x * local_size_array.y;
i++ )
{
if( local_minmax_array_h[i].min < minmax.min[I + TOffset] )
{
minmax.min[I + TOffset] = local_minmax_array_h[i].min;
}
if( local_minmax_array_h[i].max > minmax.max[I + TOffset] )
{
minmax.max[I + TOffset] = local_minmax_array_h[i].max;
}
}
}
};
IsaacVisualization(
#if ISAAC_ALPAKA == 1
THost host,
TDevAcc acc,
TStream stream,
#endif
const std::string name,
const isaac_int master,
const std::string server_url,
const isaac_uint server_port,
const isaac_size2 framebuffer_size,
const TDomainSize global_size,
const TDomainSize local_size,
const TDomainSize local_particle_size,
const TDomainSize position,
TParticleList & particle_sources,
TSourceList & sources,
TScale scale
) :
#if ISAAC_ALPAKA == 1
host( host ),
acc( acc ),
stream( stream ),
#endif
global_size( global_size ),
local_size( local_size ),
local_particle_size( local_particle_size ),
position( position ),
name( name ),
master( master ),
server_url( server_url ),
server_port( server_port ),
framebuffer_size( framebuffer_size ),
compbuffer_size( TCompositor::getCompositedbufferSize( framebuffer_size ) ),
compositor( framebuffer_size ),
metaNr( 0 ),
visualizationThread( 0 ),
kernel_time( 0 ),
merge_time( 0 ),
video_send_time( 0 ),
copy_time( 0 ),
sorting_time( 0 ),
buffer_time( 0 ),
interpolation( false ),
iso_surface( false ),
step( isaac_float( ISAAC_DEFAULT_STEP ) ),
framebuffer_prod(
ISAAC_IDX_TYPE( framebuffer_size.x )
* ISAAC_IDX_TYPE( framebuffer_size.y )
),
particle_sources( particle_sources ),
sources( sources ),
scale( scale ),
icet_bounding_box( true )
#if ISAAC_ALPAKA == 1
,
framebuffer(
alpaka::allocBuf<
uint32_t,
ISAAC_IDX_TYPE
>(
acc,
framebuffer_prod
)
),
framebufferAO(
alpaka::allocBuf<
isaac_float,
ISAAC_IDX_TYPE
>(
acc,
framebuffer_prod
)
),
framebufferDepth(
alpaka::allocBuf<
isaac_float3,
ISAAC_IDX_TYPE
>(
acc,
framebuffer_prod
)
),
framebufferNormal(
alpaka::allocBuf<
isaac_float3,
ISAAC_IDX_TYPE
>(
acc,
framebuffer_prod
)
),
functor_chain_d(
alpaka::allocBuf<
isaac_functor_chain_pointer_N,
ISAAC_IDX_TYPE
>(
acc,
ISAAC_IDX_TYPE( ISAAC_FUNCTOR_COMPLEX * 4 ) ) )
,
functor_chain_choose_d ( alpaka::allocBuf<
isaac_functor_chain_pointer_N,
ISAAC_IDX_TYPE
>(
acc,
ISAAC_IDX_TYPE ( ( boost
::mpl::size< TSourceList >::type::value
+ boost::mpl::size< TParticleList >::type::value ) ) ) )
,
local_minmax_array_d ( alpaka::allocBuf<
minmax_struct,
ISAAC_IDX_TYPE
>(
acc,
ISAAC_IDX_TYPE ( local_size[0]
* local_size[1] ) ) )
,
local_particle_minmax_array_d ( alpaka::allocBuf<
minmax_struct,
ISAAC_IDX_TYPE
>(
acc,
ISAAC_IDX_TYPE ( local_particle_size[0]
* local_particle_size[1] ) ) )
{
#else
{
ISAAC_CUDA_CHECK ( cudaMalloc(
( uint32_t * * ) & framebuffer,
sizeof( uint32_t ) * framebuffer_prod
) );
ISAAC_CUDA_CHECK ( cudaMalloc(
( isaac_float * * ) & framebufferAO,
sizeof( isaac_float ) * framebuffer_prod
) );
ISAAC_CUDA_CHECK ( cudaMalloc(
( isaac_float3 * * ) & framebufferDepth,
sizeof( isaac_float3 ) * framebuffer_prod
) );
ISAAC_CUDA_CHECK ( cudaMalloc(
( isaac_float3 * * ) & framebufferNormal,
sizeof( isaac_float3 ) * framebuffer_prod
) );
ISAAC_CUDA_CHECK ( cudaMalloc(
( isaac_functor_chain_pointer_N ** ) &functor_chain_d,
sizeof( isaac_functor_chain_pointer_N ) * ISAAC_FUNCTOR_COMPLEX
* 4
) );
ISAAC_CUDA_CHECK ( cudaMalloc(
( isaac_functor_chain_pointer_N ** ) &functor_chain_choose_d,
sizeof( isaac_functor_chain_pointer_N ) * (