P. Marchal, D. Bruni, J.I. Gomez, L. Benini, L. Pinuel, F. Catthoor, H. Corporaal
Heterogeneous multi-processors platforms are an interesting option to satisfy the computational performance of dynamic multi-media applications at a reasonable energy cost. Today, almost no support exists to energy-efficiently manage the data of a multi-threaded application on these platforms. In this paper we show that the assignment of data of dynamically created/deleted tasks to the shared memory has a large impact on the energy consumption. We present two dynamic memory allocators which solve the bank ass…
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