This paper advances the state-of-the-art in programming models for
exploiting task-level parallelism on heterogeneous many-core systems, presenting a
number of extensions to the OpenMP language inspired in the StarSs programming
model. The proposed extensions allow the programmer to write portable code easily
for a number of different platforms, relieving him/her from developing the specific code to off-load tasks to the accelerators and the synchronization of tasks. Our results
obtained from th...
This paper advances the state-of-the-art in programming models for
exploiting task-level parallelism on heterogeneous many-core systems, presenting a
number of extensions to the OpenMP language inspired in the StarSs programming
model. The proposed extensions allow the programmer to write portable code easily
for a number of different platforms, relieving him/her from developing the specific code to off-load tasks to the accelerators and the synchronization of tasks. Our results
obtained from the StarSs instantiations for SMPs, theCell, and GPUs report reasonable
parallel performance. However, the real impact of our approach in is the productivity
gains it yields for the programmer.
Citació
Ayguade, E. [et al.]. Extending OpenMP to survive the heterogeneous multi-core era. "International journal of parallel programming", Octubre 2010, vol. 38, núm. 5-6, p. 440-459.
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