Saudi HPC/AI Conference 2022:Using HPC & AI to accelerate and improve medical research (September 27-29, 2022)

Dr. Othmane Bouhali

Texas A&M University in Qatar

Talks Title

High Performance Computing and artificial intelligence in medical physics applications

Short Description
Modelling in medical physics and nuclear medicine has witnessed significant increase thanks to the development of computational resources in the past decade. In this talk we will present our ongoing research in areas of radiotherapy and internal dosimetry. We will show that Monte Carlo tools coupled with HPC resources and methods have been a game changer in the fields of medical imaging and diagnosis.

Moreover, we will also address the benefit that AI provides to improve medical imaging capabilities and achieve dose optimization in treatment of cancer and other diseases.

Jean-Laurent Philippe

HPC EMEA Director, Intel

Talks Title

HPC & AI with Intel in the New Era of Supercomputing

Short Description
HPC, AI, and Analytics users ask more of their HPC-AI systems than ever before. High Performance Computing is the foundation of research and discovery. Artificial Intelligence is adding to it. Intel’s deep investments in developer ecosystems, tools, technology and an open platform are clearing the path forward to scale artificial intelligence everywhere. Intel has made AI more accessible and scalable for developers through extensive optimizations of popular libraries and frameworks on Intel® Xeon® Scalable processors. Intel’s investment in multiple AI architectures to meet diverse customer requirements, using an open standards-based programming model, makes it easier for developers to run more AI workloads in more use cases. Let’s look at Intel HPC-AI strategy and new innovations including the latest Intel® Xeon® Scalable processors, data center GPUs and powerful software tools. Together, let’s accelerate the next era of innovation in HPC-AI.

Paul Calleja

Director, The Cambridge Centre for Data-Driven Discovery, UK

Talks Title


Short Description

Dhabaleswar K. (DK) Panda

Professor and University Distinguished Scholar, The Ohio State University

Talks Title

High-Performance Deep Learning, Machine Learning, and Data Science on Modern HPC Systems

Short Description
This talk will start with an overview of challenges being faced by the AI community to achieve high-performance Deep Learning (DL), Machine Learning (ML), and Data Science on Modern HPC systems with both scale-up and scale-out strategies. Next, we will focus on a range of solutions to address these challenges:

(1) MPI-driven Deep Learning on CPU and GPU-based systems,
(2) Out-of-core DNN training and exploiting Hybrid (Data and Model) parallelism for training large models and data,
(3) High-performance MPI Runtime for cuML to support GPU-accelerated ML applications, and
(4) High-Performance Dask for supporting data science applications. Case studies to accelerate DL, ML, and data science applications on modern HPC systems will be presented.

Jysoo Lee

Facilities Director, Research Computing Core Labs, KAUST

Talks Title

HPC and AI services and applications at KAUST

Short Description
As Supercomputers are becoming an essential universal tool for scientific discoveries, HPC was embedded in the KAUST DNA since its first year of operation. With the latest increased interest in AI, KAUST has adopted a strategy to provide the necessary tools and support for its AI researchers. In this talk, an overview of KAUST HPC and AI infrastructure, associated services and applications will be given. Some collaborations especially with Saudi organizations will also be highlighted.