H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 68 Citations 15,152 464 World Ranking 962 National Ranking 579

Research.com Recognitions

Awards & Achievements

2008 - IEEE Fellow For contributions to high performance and scalable communication in parallel and high-end computing systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Central processing unit

The scientist’s investigation covers issues in InfiniBand, Operating system, Message passing, Parallel computing and Scalability. The concepts of his InfiniBand study are interwoven with issues in Remote direct memory access, Supercomputer, Computer cluster, Distributed computing and Benchmark. His Supercomputer research integrates issues from Algorithm design and Data transmission.

His Message passing research includes themes of Computer architecture, Polling, Computer network and Deterministic routing. The Parallel computing study combines topics in areas such as Node and Parallel programming model. Dhabaleswar K. Panda has researched Scalability in several fields, including Cache, Datagram, Message Passing Interface, Interconnection and Network interface.

His most cited work include:

  • High performance RDMA-based MPI implementation over InfiniBand (337 citations)
  • A case for high performance computing with virtual machines (301 citations)
  • High performance VMM-bypass I/O in virtual machines (288 citations)

What are the main themes of his work throughout his whole career to date?

Dhabaleswar K. Panda mainly investigates InfiniBand, Parallel computing, Distributed computing, Scalability and Operating system. His InfiniBand research incorporates elements of Remote direct memory access, Supercomputer, Message Passing Interface, Message passing and Computer architecture. His study in Remote direct memory access is interdisciplinary in nature, drawing from both Software portability, Lustre and Big data.

His work carried out in the field of Parallel computing brings together such families of science as Partitioned global address space and Artificial intelligence. His studies deal with areas such as Network topology, Computer network and Overhead as well as Distributed computing. He has included themes like Latency, Multi-core processor, Embedded system, Interconnection and Network interface in his Scalability study.

He most often published in these fields:

  • InfiniBand (45.02%)
  • Parallel computing (32.84%)
  • Distributed computing (31.37%)

What were the highlights of his more recent work (between 2015-2021)?

  • Parallel computing (32.84%)
  • InfiniBand (45.02%)
  • Scalability (28.23%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Parallel computing, InfiniBand, Scalability, Remote direct memory access and Operating system. The various areas that Dhabaleswar K. Panda examines in his Parallel computing study include Deep learning, Artificial intelligence and Computation. His InfiniBand study combines topics from a wide range of disciplines, such as Computer architecture, Computer hardware, Shared memory, Message Passing Interface and Software.

His studies in Shared memory integrate themes in fields like Bottleneck, Overhead and Partitioned global address space. His work in Scalability addresses subjects such as Distributed computing, which are connected to disciplines such as Communications protocol. His Remote direct memory access research is multidisciplinary, relying on both Distributed database, Distributed data store, Associative array, Benchmark and Big data.

Between 2015 and 2021, his most popular works were:

  • S-Caffe: Co-designing MPI Runtimes and Caffe for Scalable Deep Learning on Modern GPU Clusters (99 citations)
  • High Performance Design for HDFS with Byte-Addressability of NVM and RDMA (35 citations)
  • Stampede 2: The Evolution of an XSEDE Supercomputer (31 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • Central processing unit

Dhabaleswar K. Panda focuses on Parallel computing, Operating system, InfiniBand, Scalability and Remote direct memory access. His research integrates issues of Deep learning, Artificial intelligence and Computation in his study of Parallel computing. His research in InfiniBand intersects with topics in Virtualization, Cloud computing and Distributed computing.

His work on Message Passing Interface as part of his general Distributed computing study is frequently connected to Interface, thereby bridging the divide between different branches of science. His Scalability research is multidisciplinary, relying on both Xeon, Reduction and Distributed Computing Environment. His Remote direct memory access study combines topics from a wide range of disciplines, such as Implementation, Server and Big data.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

High performance RDMA-based MPI implementation over InfiniBand

Jiuxing Liu;Jiesheng Wu;Sushmitha P. Kini;Pete Wyckoff.
international conference on supercomputing (2003)

515 Citations

High performance VMM-bypass I/O in virtual machines

Jiuxing Liu;Wei Huang;Bulent Abali;Dhabaleswar K. Panda.
usenix annual technical conference (2006)

474 Citations

A case for high performance computing with virtual machines

Wei Huang;Jiuxing Liu;Bulent Abali;Dhabaleswar K. Panda.
international conference on supercomputing (2006)

448 Citations

EMP: Zero-Copy OS-Bypass NIC-Driven Gigabit Ethernet Message Passing

Piyush Shivam;Pete Wyckoff;Dhabaleswar Panda.
conference on high performance computing (supercomputing) (2001)

311 Citations

Understanding the Impact of Multi-Core Architecture in Cluster Computing: A Case Study with Intel Dual-Core System

Lei Chai;Qi Gao;D.K. Panda.
cluster computing and the grid (2007)

265 Citations

Performance Comparison of MPI Implementations over InfiniBand, Myrinet and Quadrics

Jiuxing Liu;Balasubramanian Chandrasekaran;Jiesheng Wu;Weihang Jiang.
conference on high performance computing (supercomputing) (2003)

253 Citations

Memcached Design on High Performance RDMA Capable Interconnects

Jithin Jose;Hari Subramoni;Miao Luo;Minjia Zhang.
international conference on parallel processing (2011)

229 Citations

Beyond block I/O: Rethinking traditional storage primitives

Xiangyong Ouyang;David Nellans;Robert Wipfel;David Flynn.
high-performance computer architecture (2011)

192 Citations

High performance RDMA-based design of HDFS over InfiniBand

N. S. Islam;M. W. Rahman;J. Jose;R. Rajachandrasekar.
ieee international conference on high performance computing data and analytics (2012)

191 Citations

High performance virtual machine migration with RDMA over modern interconnects

Wei Huang;Qi Gao;Jiuxing Liu;D.K. Panda.
international conference on cluster computing (2007)

175 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Dhabaleswar K. Panda

Pavan Balaji

Pavan Balaji

Argonne National Laboratory

Publications: 72

Torsten Hoefler

Torsten Hoefler

ETH Zurich

Publications: 67

William Gropp

William Gropp

University of Illinois at Urbana-Champaign

Publications: 44

José Duato

José Duato

Universitat Politècnica de València

Publications: 37

Rajeev Thakur

Rajeev Thakur

Argonne National Laboratory

Publications: 36

Hai Jin

Hai Jin

Huazhong University of Science and Technology

Publications: 34

Andrew Lumsdaine

Andrew Lumsdaine

Pacific Northwest National Laboratory

Publications: 32

P. Sadayappan

P. Sadayappan

University of Utah

Publications: 30

Ron Brightwell

Ron Brightwell

Sandia National Laboratories

Publications: 29

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

Publications: 27

George Bosilca

George Bosilca

University of Tennessee at Knoxville

Publications: 26

Thomas A. Gregg

Thomas A. Gregg

IBM (United States)

Publications: 26

Ravi Kumar Arimilli

Ravi Kumar Arimilli

IBM (United States)

Publications: 26

Martin Schulz

Martin Schulz

Technical University of Munich

Publications: 25

Wu-chun Feng

Wu-chun Feng

Virginia Tech

Publications: 25

Something went wrong. Please try again later.