Presenter
Dhabaleswar Panda
Biography
Dhabaleswar K. (DK) Panda is a Professor of Computer Science and
Engineering at the Ohio State University. His research interests
include parallel computer architecture, high-performance networking,
InfiniBand, Exascale computing, Big Data, programming models, GPUs and
accelerators, high-performance file systems and storage,
virtualization, deep learning and cloud computing. He has published
over 400 papers in major journals and international conferences
related to these research areas. Dr. Panda and his research group
members have been doing extensive research on modern networking
technologies including InfiniBand, High-Speed Ethernet and RDMA over
Converged Enhanced Ethernet (RoCE). Recently, Dr. Panda and his team
have also developed high-performance RDMA-enabled Apache Hadoop and
Memcached to accelerate Big Data applications. He is an IEEE Fellow
and a member of ACM. More details about Prof. Panda are available at
http://www.cse.ohio-state.edu~panda.
Engineering at the Ohio State University. His research interests
include parallel computer architecture, high-performance networking,
InfiniBand, Exascale computing, Big Data, programming models, GPUs and
accelerators, high-performance file systems and storage,
virtualization, deep learning and cloud computing. He has published
over 400 papers in major journals and international conferences
related to these research areas. Dr. Panda and his research group
members have been doing extensive research on modern networking
technologies including InfiniBand, High-Speed Ethernet and RDMA over
Converged Enhanced Ethernet (RoCE). Recently, Dr. Panda and his team
have also developed high-performance RDMA-enabled Apache Hadoop and
Memcached to accelerate Big Data applications. He is an IEEE Fellow
and a member of ACM. More details about Prof. Panda are available at
http://www.cse.ohio-state.edu~panda.
Presentations
Birds of a Feather
AI/Machine Learning/Deep Learning
Clouds and Distributed Computing
Containerized HPC
Networks
System Software & Runtime Systems
Research Poster
AI/Machine Learning/Deep Learning
Computer Architecture
HPC Accelerators
MPI
Programming Models & Languages
Workshop
AI/Machine Learning/Deep Learning
Big Data Analytics
Clouds and Distributed Computing
MPI
Networks
Tutorial
Computer Architecture
Exascale Systems
Extreme-Scale Computing
Networks
Tutorial
AI/Machine Learning/Deep Learning
Big Data Analytics
Containerized HPC
HPC Accelerators
MPI