/**
* destructor
*/
virtual ~MappedBufferIntern()
{
__startOperation(ITask::TASK_CUDA);
__startOperation(ITask::TASK_HOST);
if (pointer && ownPointer)
{
#if( PMACC_CUDA_ENABLED == 1 )
/* cupla 0.1.0 does not support the function cudaHostAlloc to create mapped memory.
* Therefore we need to call the native CUDA function cudaFreeHost to free memory.
* Due to the renaming of cuda functions with cupla via macros we need to remove
* the renaming to get access to the native cuda function.
* @todo this is a workaround please fix me. We need to investigate if
* it is possible to have mapped/unified memory in alpaka.
*
* corresponding alpaka issues:
* https://github.com/ComputationalRadiationPhysics/alpaka/issues/296
* https://github.com/ComputationalRadiationPhysics/alpaka/issues/612
*/
# undef cudaFreeHost
CUDA_CHECK((cuplaError_t)cudaFreeHost(pointer));
// re-introduce the cupla macro
# define cudaFreeHost(...) cuplaFreeHost(__VA_ARGS__)
#else
__deleteArray(pointer);
#endif
}
}
void send(void* array, size_t size)
{
if (connectOK)
{
char* tmp = new char[size];
memcpy(tmp, array, sizeof(MessageHeader));
ZipConnector zip;
size_t zipedSize = zip.compress(tmp + MessageHeader::bytes, ((char*) array) + MessageHeader::bytes, size - MessageHeader::bytes, 6);
MessageHeader* header = (MessageHeader*) tmp;
header->data.byte = (uint32_t) zipedSize;
write(SocketFD, tmp, zipedSize + MessageHeader::bytes);
__deleteArray(tmp);
}
}
