Analyzing Put/Get APIs for Thread-Collaborative Processors

@article{Klenk2014AnalyzingPA,
  title={Analyzing Put/Get APIs for Thread-Collaborative Processors},
  author={Benjamin Klenk and Lena Oden and Holger Fr{\"o}ning},
  journal={2014 43rd International Conference on Parallel Processing Workshops},
  year={2014},
  pages={411-418}
}
In High-Performance Computing (HPC), GPU-based accelerators are pervasive for two reasons: first, GPUs provide a much higher raw computational power than traditional CPUs. Second, power consumption increases sub-linearly with the performance increase, making GPUs much more energy-efficient in terms of GFLOPS/Watt than CPUs. Although these advantages are limited to a selected set of workloads, most HPC applications can benefit a lot from GPUs. The top 11 entries of the current Green500 list… CONTINUE READING