Professor & University Distinguished Scholar of Computer Science and Engineering, Ohio State University. Director of the NSF-AI Institute, ICICLE. US.
“AI-Enabled Digital Agriculture – Overview of the Activities at the NSF-AI Institute ICICLE“
Abstract
Artificial intelligence (AI) is transforming many sectors of society, such as agriculture, transportation, autonomous vehicles, and biodiversity. However, there is a massive and ever-growing gap between available AI techniques and their availability to end users across a range of application domains. Existing AI applications are developed in a largely ad-hoc manner, lacking coherent, standardized, modular, and reusable infrastructure. This talk will start with an overview of the ICICLE (Intelligent CyberInfrastructure (CI) with Computational Learning in the Environment), an NSF-AI Institute, to address these challenges. Next, we will focus on a set of specific challenges being addressed within ICICLE to achieve AI-enabled digital agriculture. Some of these challenges include semi-supervised learning with good accuracy to detect crop diseases with a fraction of available data, aerial crop scouting through UAVs for real-time detection of crop diseases, and design of edge-to-cloud/HPC AI-as-a-service. Detailed solutions to these challenges and the available software releases to democratize AI in digital agriculture will be presented.
Bio
Dr. Dhabaleswar K. (DK) Panda is a Professor and Distinguished Scholar of Computer Science at the Ohio State University. He obtained his Ph.D. in computer engineering from the University of Southern California. His research interests include high-performance computing, high-performance networking (InfiniBand), big data analytics (Spark and Hadoop), Deep Learning, cloud computing, Virtualization, GPUs and accelerators, file systems and storage, and exascale computing. He has published over 500 papers in major journals and international conferences related to these research areas. Dr. Panda has served (or serving) as Program Chair/Co-Chair/Vice Chair of many international conferences and workshops including HPCAsia ’23, CCGRid ’22, SCAsia ’22, SCAsia ’20, ISC ’20, CCGrid ’18, ExaComm (15-23), ESPM2 (15-23), HPBDC (15-19), CCGrid ’16, PGAS ’15, HPBDC ’15, HiPC ’12, CCGrid ’12, HiPC ’11, IEEE Cluster (Cluster)’10, Supercomputing (SC)’08, ANCS ’07, Hot Interconnect 2007, IPDPS ’07, HiPC ’07, Hot Interconnect 2006, CAC (2001-04), ICPP ’01, CANPC (1997-98) and ICPP ’98. He has served as the General Chair/Co-Chair of CCGrid ’20, IEEE Micro ’19, and ICPP ’06. He has served as an Associate Editor of IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Computers (TC), and Journal of Parallel and Distributed Computing (JPDC). Currently, he is serving as a Co-Editor-in-Chief of CCF Transactions on High-Performance Computing. He has served as Program Committee Member for more than 190 international conferences and workshops. Prof. Panda is a motivated speaker. He has Served as an IEEE Distinguished Visitor and an IEEE Chapters Tutorial Speaker. He has delivered a large number of invited Keynote/Plenary Talks, Tutorials and Presentations Worldwide.
Dr. Panda and his research group members have been doing extensive research on modern networking technologies including InfiniBand, Omni-Path, iWARP, AWS EFA, and RoCE. His research group is currently collaborating with National Laboratories and leading InfiniBand, Omni-Path, iWARP and RoCE companies on designing various subsystems of next generation high-end systems. The MVAPICH (High Performance MPI and MPI+PGAS over InfiniBand, iWARP and RoCE with support for GPGPUs and Virtualization) software libraries , developed by his research group, are currently being used by more than 3,300 organizations worldwide (in 90 countries). These software packages have enabled several InfiniBand clusters to get into the latest TOP500 ranking. As of May ’23, more than 1.68M downloads of this software have taken place from the project website alone. These software packages are also available with the software stacks for network vendors (InfiniBand, Omni-Path, RoCE, AWS EFA, iWARP, and Slingshot), server vendors, packages (OpenHPC and Spack), and Linux distributors (such as RedHat and SuSE). This software is currently powering the #7 supercomputer in the world.
Multiple software libraries for Big Data processing and management, designed and developed by the group under High-Performance Big Data (HiBD) Project are available. These include: 1) MPI4Dask for data-science applications, 2) MPI4Spark for big data analytics applications; 3) RDMA-enabled Apache Hadoop Software library providing native RDMA (InfiniBand Verbs and RoCE) support for multiple components (HDFS, MapReduce and RPC) of Apache Hadoop; 4) RDMA-enabled Spark Software library providing native RDMA (InfiniBand Verbs and RoCE) support; 5) RDMA-Memcached Software library for providing native RDMA (InfiniBand Verbs and RoCE) support for Memcached used in Web 2.0 environment; and 5) OSU High-performance Big data Benchmarks (OHB). Sample performance numbers and download instructions for these packages are available from the above-mentioned website. These libraries are currently being used by more than 355 organizations worldwide (in 39 countries). As of May ’23, more than 47,400 downloads of this software have taken place from the project website alone.
The group has also been focusing on accelerating Deep Learning (DL) Frameworks (TensorFlow and PyTorch) and Machine Learning (ML) Frameworks on modern HPC clusters and supercomputers. MPI-driven approaches to high-performance and scalable versions of the DL/ML frameworks are available from High-Performance Deep Learning (HiDL) Project site.
Dr. Panda leads Network-Based Computing Research Group . Students and staff members of this group are involved in multiple state-of-the-art research projects . Members of his group have obtained a large number of Awards and Recognitions . Dr. Panda’s research is supported by funding from US National Science Foundation, US Department of Energy, US Department of Defense, Ohio Board of Regents, Ohio Department of DEvelopment and several industry including AMD, ARM, Broadcom, IBM, Intel, Cisco, Cornelis Networks, Cray, Oracle, SUN, Mellanox, Microsoft, NVIDIA, Pattern Computer, Rockport Networks, QLogic and NetApp.
Dr. Panda is a Fellow of IEEE and a member of ACM. He is a recipient of the 2022 IEEE Charles Babbage Award.
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