Loading…

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Use Case [clear filter]
Tuesday, September 15
 

10:00am CDT

Weather Forecasting: An Application of Artificial Intelligence, Cloud, IOT & High-Performance Computing - Dr Manish Modani, IBM India Pvt Ltd
The Weather Company, an IBM Business, offers the personalized & actionable weather data and insights to millions of users. Weather Company uses 100+ state of art weather models to provide hyper-local weather forecast across the world. The Artificial Intelligence techniques and Human Intelligence (150 + Meteorologists) used to have the most accurate weather forecast for better decisions. Recently IBM operationalized the unique weather model IBM GRAF, developed & deployed jointly by NCAR & IBM, running on IBM Power 9 and NVIDIA GPUs. IBM GRAF runs at 3 KM resolution, across the world with the hourly update. This talk will explore the weather forecast models, translation of those forecasts into insights and impacts for decision-makers, using high-performance computing, artificial intelligence and the internet of things. The performance of IBM Weather models in predicting the cyclone NISARGA & AMPHAN will also be discussed.

Continue the conversation in Slack

Speakers
DM

Dr Manish Modani

Senior Meteorologists, IBM India Pvt Ltd
Dr Manish Modani is PhD from Centre of Atmospheric Sciences, Indian Institute of Technology (IIT) Delhi, India. Manish is working in IBM since 2010, where he has worked on various HPC Application Development, Optimization & Benchmarking on Power & X86 based architectures. Presently... Read More →


Tuesday September 15, 2020 10:00am - 10:30am CDT
Track 4

12:45pm CDT

Distributed AI for Automated and Scalable Quality Inspection using EDGE Computing on OpenPower - Igor Khapov, IBM
AI-assisted quality inspection is a critical feature for all manufacturing companies. Igor led IBM Development team to create production solution using Edge computing approach. Igor will present how to use Kuberntes and edge computing technologies in data science and video inspection. From this presentation you will understand how to combine ppc64le, arm and x86 architectures to get the cost-effective solutions. The team developed an AI-assisted automated quality inspection solution cross multiple plants for manufacturing. The solution is based on the latest technologies, for example, IBM PowerAI Vision for model training, edge computing for model deployment and management, and Nvidia Jetson TX2 devices for inferencing. The solution includes a centralized web dashboard for Model Developers and Quality Engineers. This solution now at the production stage across the globe.

Continue the conversation in Slack

Speakers
avatar for Igor Khapov

Igor Khapov

Chief Technology Officer for Russia/CIS, IBM
Chief Technology Officer for Russia/CIS, team manager, architect and development lead with more than 15 years of development experience. Containers and K8s/OpenShift expert. Speaker at multiple international conferences (KubeCon, Think, blockchain and development conferences). Multiple... Read More →


Tuesday September 15, 2020 12:45pm - 1:15pm CDT
Track 4

12:45pm CDT

CINECA OpenPower-based HPC Infrastructure: Some porting results - Massimiliano Guarrasi, Cineca
n Q2 of 2020 CINECA deployed its new Tier-0 HPC cluster: Marconi100. The cluster is currently ranked at position 9 in the Top500 Supercomputer list. The nodes of this machine are equipped with 2 IBM Power9 processors and Nvidia V100 GPUs. Currently we are porting several codes on this new machine. In this lecture we will present the new machine, the methods to have an access on the machine and a couple of successful examples of porting.

Continue the conversation in Slack

Speakers
MG

Massimiliano Guarrasi

Engineer, Cineca



Tuesday September 15, 2020 12:45pm - 1:15pm CDT
Track 5B
  Use Case  HPC
  • See Session Slides yes

1:20pm CDT

Hit-reco: ProtoDUNE Raw Data Denoising with DL models - Marco Rossi, CERN
We present Hit-reco model for denoising and region of interest selection on raw simulation data from ProtoDUNE experiment. ProtoDUNE detector is hosted by CERN and it aims to test and calibrate technologies for DUNE, a forthcoming experiment in neutrino physics. Hit-reco leverages deep learning algorithms to make a first step in the reconstruction workchain, that consists in converting digital detector signals into physical high level quantities. We benchmark the artificial intelligence based approach against traditional algorithms implemented by the DUNE collaboration. We investigate the capability of graph convolutional neural networks, while exploiting the IBM Minsky multi-GPU setup to accelerate training and inference processes.

Continue the conversation in Slack

Speakers
MR

Marco Rossi

Doctoral Student at CERN, CERN
I am pursuing the PhD in Physics at the University of Milan. The main research topics are application of artificial intelligence and deep learning to high energy physics. In this context, I am working as a doctoral student at CERN funded by IBM corporation on the development of machine... Read More →



Tuesday September 15, 2020 1:20pm - 1:50pm CDT
Track 4
  Use Case  AI
  • See Session Slides yes

1:55pm CDT

HAL: Computer System for Scalable Deep Learning - Volodymyr Kindratenko, University of Illinois at Urbana-Champaign
This presentation will describe the design, deployment and operation of a computer system built to efficiently run deep learning frameworks. The system consists of 16 IBM POWER9 servers with 4 NVIDIA V100 GPUs each, interconnected with Mellanox EDR InfiniBand fabric, and a DDN all-flash storage array. This system is tailored towards efficient execution of the IBM Watson Machine Learning enterprise software stack that combines popular open-source deep learning frameworks. We build a custom management software stack to enable an efficient use of the system by a diverse community of users and provide guides and recipes for running deep learning workloads at scale utilizing all available GPUs. We demonstrate scaling of a PyTorch and TensorFlow based deep neural networks to produce state-of-the-art performance results.

Continue the conversation in Slack

Speakers
VK

Volodymyr Kindratenko

Senior Research Scientist, University of Illinois at Urbana-Champaign
Dr. Volodymyr Kindratenko is a Senior research Scientist at the National Center for Supercomputing Applications, an Adjunct Associate Professor in the Department of Electrical and Computer Engineering and a Research Associate Professor in the Department of Computer Science at the... Read More →


Tuesday September 15, 2020 1:55pm - 2:25pm CDT
Track 4

2:55pm CDT

Helios: A POWER Enhanced Music Recommendation Engine - Kip Warner, Cartesian Theatre
Helios is a powerful B2B technology to allow searching of commercial music catalogues using music itself as the search key. It is a POWER accelerated solution.

Keep the conversation going in Slack.


Speakers
avatar for Kip Warner

Kip Warner

Director of Engineering, Cartesian Theatre
Cartesian Theatre is a Vancouver, British Columbia, based software company. The studio has developed a range of cutting edge software technologies over the years. Expertise has been gained over more than a decade and applied in a wide range of diverse software problem domains. These... Read More →



Tuesday September 15, 2020 2:55pm - 3:25pm CDT
Track 2B
  Use Case
  • See Session Slides yes

2:55pm CDT

The "New Normal" or An Evolution - David Leichner, SQREAM
The "New Normal" that we are experiencing with COVID-19 together with the exponential growth of IoT devices and the digitalization taking hold in the market, is moving us out of the Big Data generation and into the era of Massive Data. Enterprises who were struggling to keep up with maintaining and analyzing the data in their legacy Data Warehouses and data lakes, are being completely overwhelmed with the rapid growth of data that they are experiencing. This session will discuss various ways that companies are changing their data management infrastructure to try to keep up. It will look at the movement to the cloud, upgrades of existing legacy systems and other technologies being implemented to resolve some of these issues. The session will also highlight the use of POWER 9 and GPUs as the underlying processing power being used to resolve these challenging issues.

Continue the conversation in Slack

Speakers
avatar for David Leichner

David Leichner

CMO, SQREAM
David has over 25 years of marketing and sales executive management experience garnered from leading software vendors including Information Builders, Magic Software and BluePhoenix Solutions. At SQream, David is responsible for creating and executing its marketing strategy and managing... Read More →


Tuesday September 15, 2020 2:55pm - 3:25pm CDT
Track 5B

3:30pm CDT

Onstitute: A Collaborative Online Education Platform with Innoative Data-Education Curriculum - Arghya Kusum Das, University of Wisconsin-Platteville
Starting from enterprise applications to scientific and engineering applications to applications in humanities and liberal arts need data analytics. However, with the current expanse of data science education, it is far from satisfying this huge demand for skilled data-labors which is growing exponentially. Data-education curriculums should be innovated to teach students from multiple disciplines regarding analytics with hands-on experience also required demonstrating the scale of applications. In this presentation, I will present 'Onstitute', a collaborative online education platform, that brings real-world data analytics experience at scale to the students utilizing the power of virtualization on top of cutting edge HPC technology such as, POWER-based hardware. I will demonstrate and discuss the innovative features of the platform together with curriculum plans, real case studies, and a future roadmap to improve the data-learning-outcomes of the students from different backgrounds.

Continue the conversation in Slack

Speakers
AK

Arghya Kusum Das, Ph.D.

Assistant Professor, University of Wisconsin-Platteville



Tuesday September 15, 2020 3:30pm - 4:00pm CDT
Track 2B
  Use Case  HPC
  • See Session Slides yes

4:05pm CDT

AI at Scale in the Enterprise - Clarisse Taaffe Hedglin, IBM
As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market and productivity. Governing Enterprise data, scaling AI model development, providing a complete, collaborative platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. The drive for performance, productivity acceleration, smarter infrastructure resource utilization and management efficiencies can be seen in Enterprises across all industries and modernization initiatives. This talk will cover the challenges and innovations for AI at scale for the Enterprise focusing on the modernization of data analytics, the AI ladder and AI lifecycle, infrastructure considerations and conclude with Data and AI architecture use case scenarios.

Continue the conversation in Slack

Speakers
avatar for Clarisse Hedglin

Clarisse Hedglin

Executive IT Architect, IBM
Clarisse Taaffe Hedglin is an Executive IT Architect in the IBM Gatage for for Systems with expertise on application performance and benchmarking. As a senior member of the Artificial Intelligence Center of Competency, she works with clients across many industries to shape their computing... Read More →



Tuesday September 15, 2020 4:05pm - 4:35pm CDT
Track 4
  Use Case  AI
  • See Session Slides yes

4:05pm CDT

Insights into New Manufacturing System Arena through IBM Open POWER System - Archisman Sen, Mitsubishi Fuso Truck and Bus Corporation, Japan
SUMMARY : In this presentation, we would talk about the potential that is available in the IBM Open POWER Systems and how it could be utilized to make a complete system for manufacturing setups. The idea is mostly to focus on the available resources that are available and harnessing the capabilities of each system from each domain to provide a customized solution for the specific requirement of the client. Focus Points: The key highlights of this presentation are as follows: 1. To explore why is digital manufacturing approach is here. 2. The probable and effective strategies bringing the change. 3. Why IBM Open POWER Systems can be the next big thing in the field of digital manufacturing processes? 5. We can take a look at the implementation plan in various stages. 6. Having a vision for the next line of actions for achieving this plan/project. Use Case Scenario: Let us take up a case where we would like to track the product quality through the entire Value Chain.

Continue the conversation in Slack

Speakers
AS

Archisman Sen

Intern, Mitsubishi Fuso Truck and Bus Corporation, Japan
Graduated as a Mechanical Engg. and worked for 4 years with Renault Nissan in India and Japan, with roles of Sr. Engg for R&D in HVAC and Quality project, apart from having roles as manufacturing quality reviewer and Chassis component quality leader. This involved extensive interaction... Read More →



Tuesday September 15, 2020 4:05pm - 4:35pm CDT
Track 2B
  Use Case  AI
  • See Session Slides yes

4:05pm CDT

New Time!! COVID Detection - Deep Learning Solution on power 9 AI Box - Shivansh Shukla, IIT Patna
In addition to the immeasurable suffering and loss of life, the deadly coronavirus is already impacting the world economy, but there is a silver lining. COVID has sparked a wave of innovation. We, here at Object Automation Software Solutions Pvt Ltd tried to contribute by developing a Covid-19 detection/classification program from the x-ray scans, leveraging the state of the art VGG-16 convolutional model. We then built and tested this on our low-cost Power 9 Development Box for AI, Deep Learning & Machine Learning. This box provides the fastest, simplest way to deploy deep learning frameworks This Covid-19 detection/classification application can also be very easily developed on the PowerAI Vision tool, which automates the machine learning and deep learning workflow without any skills in deep learning technologies. It can then train and validate a model in a GUI interface to build customized solutions for image classification and object detection.

Continue the conversation in Slack

Speakers
SS

Shivansh Shukla

Research Intern - Object Automation Software Solution Pvt. Ltd., IIT Patna
This is Shivansh Shukla pursuing B.Tech (UG) from the Indian Institute of Technology, Patna. I have worked on domains like cloud computing, deep learning, and software development. Some projects include the "Facial recognition attendance system" through siamese networks locally as... Read More →



Tuesday September 15, 2020 4:05pm - 4:35pm CDT
Track 3
  Use Case  AI
  • See Session Slides yes

4:05pm CDT

Benchmarking Graphical Models on POWER with Healthcare Applications - Radha Nagarajan, Marshfield Clinic Research Institute & Arghya Kusum Das, University of Wisconsin-Platteville
Graphical models, in particular, that have the ability to validate hypothesized associations from multivariate data and discover novel, undocumented, causal associations have seen increasing applications in healthcare that has witnessed a surge in digitization and adoption of data-driven and evidence-based approaches to assist in decision making. Structure learning algorithms that form the core of graphical modeling and aim to decipher associations between the variables of interest from the given data fall under three broad categories, namely constraint-based, search and score, and hybrid. These computationally intensive algorithms need parallelization across HPC environments for enhanced performance. In this presentation, we will discuss the performance of established structure learning algorithms across POWER9 systems with and without GPUs across large data sets. Our approach will be open-sourced for enhanced transparency and reproducibility and adoption in education and research.

Continue the conversation in Slack

Speakers
AK

Arghya Kusum Das, Ph.D.

Assistant Professor, University of Wisconsin-Platteville
RN

Radha Nagarajan, Ph.D.

Director, Center for Oral and Systemic Health, Marshfield Clinic Research Institute
Radha Nagarajan, Ph.D. is the Director, Center for Oral and Systemic Health, Marshfield Clinic Research Institute, Marshfield Clinic Health System. He has over 15 years’ experience in leading research and implementation in healthcare analytics at Medical Centers and Health Systems... Read More →


Tuesday September 15, 2020 4:05pm - 4:35pm CDT
Track 5B
  Use Case  HPC
  • See Session Slides yes
 
  • Timezone
  • Filter By Venue Virtual Event
  • Filter By Type
  • AI
  • Break
  • Cloud
  • Community
  • Cores
  • HPC
  • ISA
  • Keynote Session
  • OpenCAPI
  • Silicon Dev
  • Software
  • Use Case
  • See Session Slides