This page lists the publications by Hari Subramoni

Journals (8)

1 A. Ruhela, H. Subramoni, S. Chakraborty, M. Bayatpour, P. Kousha, and DK Panda, Effcient Design for MPI Asynchronous Progress without Dedicated Resources , Parallel Computing - Systems & Applications, Volume 85, July 2019, Pages 13-26, https://doi.org/10.1016/j.parco.2019.03.003 , .
2 A. Awan, K. Vadambacheri Manian, C. Chu, H. Subramoni, and DK Panda, Optimized Large-Message Broadcast for Deep Learning Workloads: MPI, MPI+NCCL, or NCCL2? , Volume 85, July 2019, Pages 141-152, https://doi.org/10.1016/j.parco.2019.03.005 , .
3 C. Chu, X. Lu, A. Awan, H. Subramoni, Bracy Elton, and DK Panda, Exploiting Hardware Multicast and GPUDirect RDMA for Efficient Broadcast , IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 30, no. 3, pp. 575-588, 1 March 2019 , .
4 S. Chakraborty, Ignacio Laguna, Murali Emani, Kathryn Mohror, DK Panda, Martin Schulz, and H. Subramoni, EReinit: Scalable and Efficient Fault Tolerance for Bulk-Synchronous MPI Applications , Concurrency and Computation: Practice and Experience, 14 August 2018, https://doi.org/10.1002/cpe.4863 , .
5 S. Ramesh, A. Mahéo, S. Shende, A. Malony, H. Subramoni, A. Ruhela, and DK Panda, MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU , ISSN 0167-8191, Volume 77 , Sep 2018.
6 K. Hamidouche, A. Venkatesh, A. Awan, H. Subramoni, and DK Panda, CUDA-Aware OpenSHMEM: Extensions and Designs for High Performance OpenSHMEM on GPU Clusters , ParCo: Elsevier Parallel Computing Journal , .
7 S. Sur, S. Potluri, K. Kandalla, H. Subramoni, K. Tomko, and DK Panda, Co-Designing MPI Library and Applications for InfiniBand Clusters , IEEE Computer , Nov 2011.
8 Srinivasan Ramesh, Aurele Maheo, Sameer Shende, Allen Malony, H. Subramoni, and DK Panda, MPI Performance Engineering with the MPI Tool Interface: the Integration of MVAPICH and TAU , May 2018.

Conferences & Workshops (80)

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Ph.D. Disserations (1)

1 H. Subramoni, Topology-Aware MPI communication and Scheduling for High Performance Computing Systems, Jul 2013