http://web.cse.ohio-state.edu/~panda/

This page lists the publications by Dhabaleswar K (DK) Panda

Journals (41)

1 T. Tran, B. Ramesh, B. Michalowicz, M. Abduljabbar, H. Subramoni, A. Shafi, and DK Panda, Accelerating Communication with Multi-HCA Aware Collectives in MPI, Concurrency and Computation: Practice and Experience (CCPE), July 2023,
2 K. Suresh, K. Khorassani, C. Chen, B. Ramesh, M. Abduljabbar, A. Shafi, H. Subramoni, and DK Panda, Network Assisted Non-Contiguous Transfers for GPU-Aware MPI Libraries, IEEE Micro, Jan 2023.
3 K. Khorassani, C. Chen, B. Ramesh, A. Shafi, H. Subramoni, and DK Panda, High Performance MPI over the Slingshot Interconnect, Special Issue of Journal of Computer Science and Technology (JCST), Feb 2023.
4 A. Jain, N. Alnaasan, A. Shafi, H. Subramoni, and DK Panda, Optimizing Distributed DNN Training using CPUs and BlueField-2 DPUs, IEEE Micro, doi: 10.1109/MM.2021.3139027,
5 DK Panda, H. Subramoni, C. Chu, and M. Bayatpour, The MVAPICH project: Transforming Research into High-Performance MPI Library for HPC Community , Journal of Computational Science (JOCS), Special Issue on Translational Computer Science, Oct 2020.
6 J. Hashmi, C. Chu, S. Chakraborty, M. Bayatpour, H. Subramoni, and DK Panda, FALCON-X: Zero-copy MPI Derived Datatype Processing on Modern CPU and GPU Architectures, Journal of Parallel and Distributed Computing (JPDC), Volume 144, October 2020, Pages 1-13, doi.org/10.1016/j.jpdc.2020.05.008,
7 Ammar Awan, A. Jain, C. Chu, H. Subramoni, and DK Panda, Communication Profiling and Characterization of Deep Learning Workloads on Clusters with High-Performance Interconnects, IEEE Micro, vol. 40, no. 1, pp. 35-43, 1 Jan.-Feb. 2020.,
8 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,
9 Ammar 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,
10 C. Chu, X. Lu, Ammar 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,
11 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,
12 X. Lu, H. Shi, R. Biswas, M. H. Javed, and DK Panda, DLoBD: A Comprehensive Study of Deep Learning over Big Data Stacks on HPC Clusters, IEEE Transactions on Multi-Scale Computing Systems, Jun 2018.
13 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.
14 M. W. Rahman, N. Islam, X. Lu, D. Shankar, and DK Panda, MR-Advisor: A Comprehensive Tuning, Profiling, and Prediction Tool for MapReduce Execution Frameworks on HPC Clusters, Journal of Parallel and Distributed Computing (JPDC), Nov 2017.
15 X. Lu, D. Shankar, and DK Panda, Scalable and Distributed Key-Value Store-based Data Management Using RDMA-Memcached, "IEEE Data Engineering Bulletin (DEBull), Volume 40", Bulletin of the Technical Committee on Data Engineering (TCDE), (Invited Paper), Mar 2017.
16 M. W. Rahman, N. Islam, X. Lu, and DK Panda, A Comprehensive Study of MapReduce over Lustre for Intermediate Data Placement and Shuffle Strategies on HPC Clusters, IEEE Transactions on Parallel and Distributed Systems, Jul 2016.
17 D. Shankar, X. Lu, M. W. Rahman, N. Islam, and DK Panda, Characterizing and benchmarking stand-alone Hadoop MapReduce on modern HPC clusters, The Journal of Supercomputing - Springer, Jun 2016.
18 K. Hamidouche, A. Venkatesh, Ammar Awan, H. Subramoni, and DK Panda, CUDA-Aware OpenSHMEM: Extensions and Designs for High Performance OpenSHMEM on GPU Clusters, ParCo: Elsevier Parallel Computing Journal ,
19 H. Wang, S. Potluri, D. Bureddy, and DK Panda, GPU-Aware MPI on RDMA-Enabled Cluster: Design, Implementation and Evaluation, IEEE Transactions on Parallel & Distributed Systems, Vol. 25, No. 10, pp. 2595-2605, Oct 2014.
20 N. Islam, X. Lu, M. W. Rahman, J. Jose, and DK Panda, A Micro-Benchmark Suite for Evaluating HDFS Operations on Modern Clusters, Special Issue of LNCS on papers from WBDB '12 Workshop, May 2012.
21 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.
22 P. Lai, P. Balaji, R. Thakur, and DK Panda, ProOnE: A General-Purpose Protocol Onload Engine for Multi- and Many-Core Architectures Computer Science: Research and Development, Special Issue of Scientific Papers from ISC '09, Jun 2009.
23 A. Vishnu, M. Koop, A. Moody, A. Mamidala, S. Narravula, and DK Panda, Topology Agnostic Hot-Spot Avoidance with InfiniBand Concurrency and Computation: Practice and Experience, Special Issue of Best Papers from CCGrid '07, Jan 2008.
24 H. Jin, P. Balaji, C. Yoo, J. -Y. Choi, and DK Panda, Exploiting NIC Architectural Support for Enhancing IP based Protocols on High Performance Networks OSU-CISRC-5/04-TR37, Nov 2005.
25 J. Liu, A. Mamidala, A. Vishnu, and DK Panda, Performance Evaluation of InfiniBand with PCI Express, IEEE Micro, Jan 2005.
26 J. Liu, J. Wu, and DK Panda, High Performance RDMA-Based MPI Implementation over InfiniBand, Int'l Journal of Parallel Programming: Volume 32, Number 3, Jun 2004.
27 J. Liu, B. Chandrasekaran, W. Yu, J. Wu, D. Buntinas, S. Kini, P. Wyckoff, and DK Panda, Micro-Benchmark Performance Comparison of High-Speed Cluster Interconnects IEEE Micro, Jan 2004.
28 A. Wagner, D. Buntinas, R. Brightwell, and DK Panda, Application-Bypass Reduction for Large-Scale Clusters. Int'l Journal of High Performance Computing and Networking Internationall Journal of High Performance Computing and Networking, Cluster 2003 Special Issue. In Press, Dec 2003.
29 R. Sivaram, C. Stunkel, and DK Panda, HIPIQS: A High-Performance Switch Architecture using Input Queuing IEEE Transactions on Parallel and Distributed Systems. Vol. 13, No. 3, pp. 275-289, Mar 2002.
30 M. Banikazemi, B. Abali, L. Herger, and DK Panda, Design Alternatives for Virtual Interface Architecture (VIA) and an Implementation on IBM Netfinity NT Cluster Journal of Parallel and Distributed Computing, Special Issue on Clusters, Volume 61, Number 11, pp. 1512-1545, Nov 2001.
31 M. Banikazemi, R. K. Govindaraju, R. Blackmore, and DK Panda, MPI-LAPI: An Efficient Implementation of MPI for IBM RS/6000 SP Systems IEEE Transactions on Parallel and Distributed Systems, Vol. 12, No. 10, pp. 1081-1093, Oct 2001.
32 B. Abali, C. B. Stunkel, J. Herring, M. Banikazemi, DK Panda, C. Aykanat, and Y. Aydogan, Adaptive Routing on the New Switch Chip for IBM SP Systems Journal of Parallel and Distributed Computing, Special Issue on Routing in Computer and Communication Networks, Volume 61, Number 9, pp. 1148-1179, Sep 2001.
33 R. Kesavan, and DK Panda, Efficient Multicast on Irregular Switch-based Cut-Through Networks with Up-Down Routing IEEE Transactions on Parallel and Distributed Systems, Vol. 12, No. 8, pp. 808-828, Aug 2001.
34 R. Sivaram, R. Kesavan, DK Panda, and C. Stunkel Architectural Support for Efficient Multicasting in Irregular Networks, Architectural Support for Efficient Multicasting in Irregular Networks IEEE Transactions on Parallel and Distributed Systems, Vol. 12, No. 5, pp. 489-513, May 2001.
35 R. Sivaram, C. Stunkel, and DK Panda, Implementing Multidestination Worms in Switch-Based Parallel Systems: Architectural Alternatives and their Impact IEEE Transactions on Parallel and Distributed Systems, Vol. 11, No. 8, pp. 794-812, Aug 2000.
36 R. Kesavan, and DK Panda, Multiple Multicast with Minimized Node Contention on Wormhole k-ary n-cube Networks IEEE Transactions on Parallel and Distributed Systems, Vol. 10, No. 4, pp. 371-393, Apr 1999.
37 D. Dai, and DK Panda, Exploiting the Benefits of Multiple-Path Network in DSM Systems: Architectural Alternatives and Performance Evaluation IEEE Transactions on Computers, Special Issue on Cache Memory, Vol. 48, No. 2, pp. 236-244, Feb 1999.
38 R. Prakash, and DK Panda, Designing Communication Strategies for Heterogeneous Parallel Systems, Parallel Computing, Volume 24, pp. 2035-2052, Dec 1998.
39 R. Sivaram, DK Panda, and C. B. Stunkel, Efficient Broadcast and Multicast on Multistage Interconnection Networks using Multiport Encoding, IEEE Transactions on Parallel and Distributed Systems, Vol. 9, No. 10, pp. 1004-1028, Oct 1998.
40 D. Basak, and DK Panda, Designing Clustered Multiprocessor Systems under Packaging and Technological Advancements IEEE Transactions on Parallel and Distributed Systems, Vol. 7, No. 9, pp. 962-978, Sep 1996.
41 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.

Book Chapter (3)

1 X. Lu, J. Zhang, and DK Panda, Building Efficient HPC Cloud with SR-IOV Enabled InfiniBand: The MVAPICH2 Approach , Book "Research Advances in Cloud Computing", edited by Sanjay Chaudhary, Gaurav Somani, and Rajkumar Buyya, Springer International Publishing , Aug 2017.
2 X. Lu, and DK Panda, Contribution on Multiple Chapters related to OpenStack, Virtualized HPC, HPC Network Fabric, and HPC Workload Management , Book "The Crossroads of Cloud and HPC: OpenStack for Scientific Research; Exploring OpenStack Cloud Computing for Scientific Workloads", Edited by Stig Telfer - OpenStack Foundation Publishing (Invited Book Chapter) , Nov 2016.
3 X. Lu, M. W. Rahman, N. Islam, D. Shankar, and DK Panda, Accelerating Big Data Processing on Modern HPC Clusters , Book "Conquering Big Data with High Performance Computing", Edited by Ritu Arora - Springer International Publishing (Invited Book Chapter) , Jul 2016.

Conferences & Workshops (506)

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  • Experiences with Software MPEG-2 Video Decompression on an SMP PC

  • A. Bala, D. Shah, W.-C. Feng, and DK Panda,
  • ICPP Workshop, Aug 1998
  • [Bib - Plain]
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Technical Reports (8)

1 K. Vaidyanathan, P. Lai, S. Narravula, and DK Panda, Benefits of Dedicating Resource Sharing Services in Data-Centers for Emerging Multi-Core Systems, OSU-CISRC-8/07-TR53
2 K. Vaidyanathan, H. Jin, S. Narravula, and DK Panda, Accurate Load Monitoring for Cluster-based Web Data-Centers over RDMA-enabled Networks OSU-CISRC-7/05-TR49
3 G. Marsh, A. Sampat, S. Potluri, and DK Panda, Scaling Advanced Message Queuing Protocol (AMQP) Architecture with Broker Federation and InfiniBand OSU Technical Report (OSU-CISRC-5/09-TR17)
4 W. Huang, J. Liu, B. Abali, and DK Panda, InfiniBand Support in Xen Virtual Machine Environment, OSU-CISRC-2/06--TR18
5 P. Balaji, W. Feng, and DK Panda, The Convergence of Ethernet and Ethernot: A 10-Gigabit Ethernet Perspective, OSU-CISRC-1/06-TR10
6 H. Jin, S. Narravula, G. Brown, K. Vaidyanathan, P. Balaji, and DK Panda, Performance Evaluation of RDMA over IP: A Case Study with Ammasso Gigabit Ethernet NIC, OSU-CISRC-6/05-TR40
7 K. Vaidyanathan, P. Balaji, J. Wu, H. Jin, and DK Panda, An Architectural Study of Cluster-Based Multi-Tier Data-Centers,
8 S. Krishnamoorthy, P. Balaji, K. Vaidyanathan, H. Jin, and DK Panda, Dynamic Reconfigurability Support for providing Soft QoS Guarantees in Cluster-based Multi-Tier Data-Centers over InfiniBand,