I'm working with large dataset. I'm using several concurrent_vector and concurrent_hash_map for that purpose. After running for a while I'm getting bad_alloc exception. 

According to this answer

 concurrent_vector, I assume, is adding new blocks of memory but keeps using the old ones. Not moving objects is important as it allows other threads to keep accessing the vector even as it is being re-sized. It probably also helps with other optimizations (such as keeping cached copies valid.) The downside is access to the elements is slightly slower as the correct block needs to be found first (one extra deference.)

So there's a chance I'm getting bad_alloc due to heap fragmentation. How can I avoid heap fragmentation?

I'm a newbie at Intel TBB. I'm using concurrent_vector and concurrent_hash_map. I haven't allocate anything using new, so may be there is no memory leak. But I'm getting bad allocation exception. I'm using 32 bit Linux Mint 14 on VMWare workstation which has 3GB of memory. How can I debug is my program leaking memory or it's just the program can't allocate enough memory?

Hi,

I've tried to compile and run this code with tbb 4.1:

http://software.intel.com/sites/products/documentation/doclib/tbb_sa/help/reference/flow_graph/message_flow_graph_example.htm

But found some errors, the changes I did to make it work was to replace:

broadcast_node<int> input;

for

broadcast_node<int> input(g);

and 

make_edge( squarer, std::get<0>( join.inputs() ) );
make_edge( cuber, std::get<1>( join.inputs() ) );

for:

make_edge( squarer, std::get<0>( join.input_ports() ) );
make_edge( cuber, std::get<1>( join.input_ports() ) );

With that I could compile with tbb 4.1 

Regards,

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