Agenda

09:00-09:10

OpenInfra Clouds in Asia

Rico Lin, OpenInfra Foundation

Introduce OpenInfra in Asia. Analysis Community, Marketing, and Development of Open Infrastructure projects like OpenStack across Asia.

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09:20-09:40

The First Orchestrator of Genomics Analysis and HPC

Lucas Yang, GARAOTUS

GAaaS is the state-of-the-art total solution for precision medicine based on GARAOTUS Cloud Platform. The GAaaS platform creates an environment like OS for medical staffs to storage, analysis, and apply all the cutting-edge research or medical practice in single user-friendly platform.

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09:40-10:00

Cloud-scale supercomputing for HPC/AI and Cloud services with GARAOTUS Cloud platform

Kenneth Su, GARAOTUS

In this session, we will walk through GARAOTUS Cloud Platform and how approaches a Cloud-Scale supercomputing to deploy a HPC cluster, Cloud and AI/ML applications.This platform is right for large computing power and data intensive type of workloads. We will introduce a unified and centrailized management way of your computing resources and resilient responses to meet the challenges …

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10:40-11:00

GARAOTUS HPC Cloud Solution for Atmospheric Science

Eric Liao, GARAOTUS

AAaaS, Atmosphere Analysis as a Service, is an intuitive and interactive service for atmospheric science residing on the GARAOTUS Cloud Platform in which managing the whole infrastructure with various modern technologies.

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11:00-11:20

GARAOTUS AaaS: Enabling Mobility of Compute for Atmospheric Analysis and Modeling

Clark Wang, GARAOTUS

This session showcases the GARAOTUS AaaS solution, which highlights our expertise in HPC cloud as well as domain knowledge in atmospheric modeling.

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11:20-12:00

The future of HPC: Moving traditional HPC to scalable containerized infrastructure

Yan Fisher, Red Hat

HPC adoption is growing beyond traditional scientific use cases. We’ll discuss how transforming HPC infrastructure to work with containers and Kubernetes can help you accelerate scientific discoveries.

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Break

Track A

Genomics & Biotechnology

14:00-14:30

Solving HPC Challenges in Health Life Science through scalable compute architectures

George Tai, intel

This session will review HPC challenges in Health Life Science and discuss ways to enable scalable compute architectures driving faster discoveries and more effective research in area of Genomics.

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14:30-15:00

Artificial Intelligence in Genomics Market Ecosystem

Priya, MarketsandMarkets Research Pvt. Ltd.

The advent of NGS, coupled with data analytics, AI, and advancements in HPC storage and computing technologies, is providing significant opportunities to identify actionable insights from genomics data. In response to the expanding opportunities, this session explores the prospects of HPC, AI, and adjacent technologies in the field of genomics, with precision medicine as the end goal.

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15:00-15:30

A Next Generation Healthcare Information System to Support Precision Medicine

Feipei Lai, National Taiwan University

In this talk, I will disclose how we have been building up the gene-related information processing, life-style recorder, open environmental database and EMR mining infrastructure for precision medicine gradually since 2016. Precision medicine, an emerging approach for disease prevention, prediction and treatment that takes into account people’s individual variations in genes, environment, and lifestyle data.

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15:30-16:00

How is AI Changing Medical and Healthcare and Advanced Research?

Po-Yuan (George) Tseng, Ministry of Science and Technology (MOST) Joint Research Center for AI Technology and All Vista Healthcare, Taiwan

Artificial intelligence (AI) is transforming medical and healthcare and, in fact, it is bringing a paradigm changes. Several aspects will be expressed in this talk. Representative AI applications in medical and healthcare will be presented, including but not limited to medical imaging, mental healthcare, clinical decision support, and drug development/drug discovery.

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17:00-17:15

Network Medicine: Translate Big ‘Omics’ Data into Personalized Medicine

Chun-Yu Lin, National Yang Ming Chiao Tung University

Network Medicine provides the quantitative platform for integrating multi-omics data to capture the impact of perturbations during the disease progression. This session explores the network medicine by HPC with cloud computing technologies for the revolution of big omics data and translation to precision medicine.

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Track B

HPC & Open Source Technologies

14:00-14:30

The future of HPC – Moving traditional HPC to scalable containerized infrastructure

Franky Ho, Red Hat

We believe that Linux containers and container orchestration engines, most notably Kubernetes, are well positioned to power future software applications spanning multiple industries. Red Hat has embarked on a mission to enable some of the most critical workloads like machine learning, deep learning, artificial intelligence, big data analytics, high-performance computing, and telecommunications, on Red Hat OpenShift. In this session, we are going to share our insights and Red Hat’s multi-phase approach to enabling containers in HPC.

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14:30-15:00

Accelerating Extreme HPC Scale-outs with BeeGFS

Marco Merkel, ThinkParQ BeeGFS

The ThinkParQ team will provide an overview into the technical and commercial benefits of BeeGFS, along with describing how BeeGFS accelerates extreme HPC scale-out environments.

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15:00-15:30

Introduction of CHT’s AI PaaS Smart analysis platform

Roger Yu, Chunghwa Telecom

Chunghwa Telecom’s AI PaaS product description includes the problems faced by industrial solutions importing AI, introduction of basic AI PaaS functions, introduction of AI PaaS automated machine learning functions, introduction of AI PaaS model deployment functions, and introduction of AI PaaS model health monitoring functions.

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15:30-16:00

How DCT Platform and Service Boosts AI and HPC Development

Hank Du, Dynamic Computing Technology

Dynamic Computing Technology Corporation (DCT) presents AIon cloud platform for advanced customer engagement. We introduce our service modules and explain their benefits in various application areas, including but not limited to gnome sequencing, future hospital, and autonomous driving. With the AIon service, the DCT brings cloud HPC closer to our customers and seamlessly accelerate many applications.

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16:00-16:30

Use MLOps to manage the machine learning lifecycle

Liang-Bin Hsueh, InfuseAI

MLOps is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently. In this talk we will share the concept of ML lifecycle, what problems MLOps solve, and how PrimeHub solves MLOps challenges.

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17:00-17:30

DeepOps – An efficient way to deploy GPU cluster for computing

Frank Lin, Cloud Native Taiwan User Group

In this session, I will briefly introduce about DeepOps aims to make managing GPU clusters flexible and scalable. Admins have tools at their disposal to manage GPUs clusters effectively, users can collaborate and work productively and efficiently on shared GPU resources.

And I will demo a real scenario of DeepOps covers setting up login nodes, management, monitoring, Kubernetes, Slurm, and even storage provisioning.

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