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Power is the most critical resource for the exascale high performance computing. In the future, system administrators might have to pay attention to the power consumption of the machine under different work loads. Hence, each application may have to run with an allocated power budget. Thus, achieving the best performance on future machines requires optimal performance subject to a power constraint...
Power and energy have become dominant aspects of hardware and software design in the High Performance Computing (HPC). Recently, the Department of Defense (DOD) has put a constraint that applications and architectures need to attain 75 GFLOPS/Watt in order to support the future missions. This requires a significant research effort towards power and energy optimization. OpenMP programming model is...
OpenMP tasks propose a new dimension of concurrency to cap irregular parallelism within applications. The addition of OpenMP tasks allows programmers to express concurrency at a high level of abstraction and makes the OpenMP runtime responsible about the burden of scheduling parallel execution. The ability to observe the performance of OpenMP task scheduling strategies portably across shared memory...
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