High Performance and Scalable MPI Library for HPC and Deep Learning on Oracle HPC Cloud
The Ohio State University
Oracle Principal Investigator
The proposed research and development effort focus on two major directions to harness maximum performance and scalability for HPC and DL applications on Oracle HPC Cloud using the MVAPICH2 MPI libraries. These goals are achieved by redesigning and optimizing of MVAPICH2-X MPI library on Oracle HPC Cloud Instances. If successful, follow on research will help enabling deep learning environments and applications on upcoming Oracle GPU platforms with MVAPICH2-GDR, Horovod and DL frameworks like TensorFlow, PyTorch and MXNet.