The deployment of accelerator technology for additional and specialized computing hardware components constitutes a big leap in computational power while, at the same time, lowering energy-consumption significantly.
For building future Exascale high-performance computing systems, a low energy consumption is key. Even many of the current TOP500 list supercomputing systems possess accelerators as a core ingredient, thus achieving their excellent performance.
Graphics Processing Units (GPUs) as well as specialized x86-based many-core systems may act as accelerators.
These co-processors are able to perform certain parts of the scientific calculation more efficient. Tasks that are computationally intense and highly parallelized are not executed on the CPU, the system’s main processor, but are transferred to the co-processor. This way not only a significant reduction of time-to-result is gained, but also the energy consumed is lowered.
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