GPU-Aware Design, Implementation, and Evaluation of Non-blocking Collective Benchmarks

@inproceedings{Awan2015GPUAwareDI,
  title={GPU-Aware Design, Implementation, and Evaluation of Non-blocking Collective Benchmarks},
  author={A. A. Awan and Khaled Hamidouche and Akshay Venkatesh and Jonathan L. Perkins and Hari Subramoni and Dhabaleswar K. Panda},
  booktitle={EuroMPI},
  year={2015}
}
As we move towards efficient exascale systems, heterogeneous accelerators like NVIDIA GPUs are becoming a significant compute component of modern HPC clusters. It has become important to utilize every single cycle of every compute device available in the system. From NICs to GPUs to Co-processors, heterogeneous compute resources are the way to move forward. Another important trend, especially with the introduction of non-blocking collective communication in the latest MPI standard, is… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-2 of 2 extracted citations

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…