Programme

Convergence of AI and HPC bringing transformation

Mon, 26 Mar Track: Tutorial
Venue: Pisces 1
Track: Tutorial
Venue: Pisces 2
Track: Tutorial
Venue: Pisces 3
Track: Tutorial
Venue: Pisces 4
0900 – 0930 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc  IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
0930 – 1000
1000 – 1030
1030 – 1100 Tea Break
1100 – 1130 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc  IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
1130 – 1200
1200 – 1230
1230 – 1330 Lunch Break
1330 – 1400 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc  IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
1400 – 1430
1430 – 1500
1500 – 1530
1530 – 1600
1600 – 1630 Tea Break
1630 – 1700 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc  IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
1700 – 1730
1730 – 1800
1930 – 2200 Speakers’ Reception at Hard Rock Terrace

 

*Please note that the programme may be subject to changes.

Tue, 27 Mar Opening Plenary
Venue: Ballroom East
0900 – 0915 Welcome Address
0915 – 0935 Opening Speech by GOH
0935 – 1000 SCA Awards
1000 – 1030 Opening Keynote
Relationship between High Performance Computing and Artificial Intelligence
by Dr. Goh Eng Lim, Hewlett Packard Enterprise
1030 – 1100 Tea Break
1100 – 1130 Keynote
by Dr. Satoshi Sekiguchi, National Institute of Advanced Industrial Science and Technology
1130 – 1200 Keynote
by Prof. Thomas A. DeFanti, University of Illinois at Chicago
1200 – 1230 Industry Keynote
Paving the Road to Exascale
by Gilad Shainer, HPC & AI Advisory Council
1230 – 1330 Lunch Break

 

Track: SCF Asia
Papers Presentation

Venue: Pisces 1
Track: Industry
Venue: Pisces 2 & 3
Track: Education
Venue: Pisces 4
APRP & APAN45
Venue: Virgo 1 – 4
1330 – 1400 Networking Technologies for AI HPC Students’ Experience Sharing on HPC Competitions Towards an Asia Pacific Research Platform (APRP)
and
Asia-Pacific Advanced Network Meeting (APAN45)
Network Computing: Accelerate HPC & AI Performance

by Avi Telyas, Director of Solution Engineering, Mellanox APAC

1400 – 1430 Big Data AI HPC Processor and Architecture Announcement on inaugural HPC AI Competition
HHVSF: A Framework to Accelerate Drug-based High-throughput Virtual Screening on High-Performance Computers (#8) Reconfigurable Accelerator Platform with Intel FPGAs

by Robin Liu, Business Development Manager, Intel PSG Asia-Pac

1430 – 1500 HBasechainDB — A Scalable Blockchain Framework on Hadoop Ecosystem (#27) To Be Confirmed To Be Confirmed
1500 – 1530 DETOUR: A Large-Scale Non-Blocking Optical Data Center Fabric (#28) To Be Confirmed To Be Confirmed
1530 – 1600 To Be Confirmed To Be Confirmed
1600 – 1630 Tea Break
1630 – 1700 Big Data Storage and Data Management for AI-HPC Education /
HPC AI Challenge
Towards an Asia Pacific Research Platform (APRP)
and
Asia-Pacific Advanced Network Meeting (APAN45)
Querying Large Scientific Data Sets with Adaptable IO System ADIOS (#36) Compute, Storage and Interconnects – Performance and Usage Scenarios

by Sandeep Lodha, CEO Netweb

1700 – 1730 On the Performance of Spark on HPC Systems: Towards a Complete Picture (#45) Parallel File System Implementation for Artificial Intelligence and Machine Learning Computing

by Carlos Thomaz & Shuichi Ihara, DDN

1730 – 1800 Experiences of Converging Big Data Analytics Frameworks with High Performance Computing Systems (#48) To Be Confirmed
1800 – 1830 To Be Confirmed
1930 – 2200 Networking Reception at S.E.A. Aquarium

 

*Please note that the programme may be subject to changes.

Wed, 28 Mar Plenary
Venue: Pisces 1 – 4
0900 – 0930 Keynote
by Prof. Joe Mambretti, International Center for Advanced Internet Research, Northwestern University
0930 – 1000 Industry Keynote
Drive AI To Enter New Stage
by Qingchun Song, Mellanox APAC
1000 – 1030 Industry Keynote
Medical Discoveries when Big Data, AI & HPC Converge
by Dr Rangan Sukumar, Cray Inc
1030 – 1100 Tea Break

 

Track: SCF Asia
Papers Presentation
Venue: Pisces 1
Track: Industry
Venue: Pisces 2 & 3
Track: CoNGA
Venue: Pisces 4
Track: Precision Medicine
Venue: Gemini 2
1100 – 1130 GPU/FPGA Anchoring AI in Singapore
by Adhiraj Saxena, Manager, Industry Innovations, AI Singapore
Conference on Next Generation Arithmetic (CoNGA)  Precision Medicine
MACC : An OpenACC Transpiler for Automatic Multi-GPU Use (#29)
1130 – 1200 Architecture of an FPGA-Based Heterogeneous System for Code-Search Problems (#31) AI-HPC Platforms and Infrastructure
Hybrid infrastructure leveraging Microsoft Azure for HPC & AI Workloads
by Luka Debaljak, Microsoft
1200 – 1230 Acceleration of Wind Simulation Using Locally Mesh-Refined Lattice Boltzmann Method on GPU-Rich Supercomputers (#37) Spark Over RDMA: Accelerate Big Data

by Yuval Degani, SparkRDMA Evangelist, Mellanox

1230 – 1330 Lunch Break
1330 – 1400 Performance Tools AI-HPC Platforms and Infrastructure Conference on Next Generation Arithmetic (CoNGA)  Precision Medicine
TINS: A Task-Based Dynamic Helper Core Strategy for In Situ Analytics (#17) Building an integrated AI-accelerated HPC hardware infrastructure

by Francis Lam, Director of HPC Product Management, Huawei Technologies

1400 – 1430 Machine Learning Predictions for Underestimation of Job Runtime on HPC System (#30) Executing AI Projects Successfully In Your Organisation

by Dr. Bhushan Desam, AI Global Business Leader, Lenovo Data Center Group

1430 – 1500 A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems (#41) Access, Control, and Optimize HPC Clusters & Clouds with PBS Works 2018

by Dr. Bill Nitzberg, CTO of PBS Works, Altair

1500 – 1530 Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation (#43) Heterogeneous Supercomputing and the POWER9 Processor

by Dr. H. Peter Hofstee, Distinguished Research Staff Member, IBM Research

1530 – 1600 Network Accelerated AI

by Elad Wind, Director of Networking Solutions, Mellanox APAC

1600 – 1630 Tea Break
1630 – 1700 Linear Algebra AI-HPC Platforms and Infrastructure Conference on Next Generation Arithmetic (CoNGA)  Precision Medicine
High Performance LOBPCG Method for Solving Multiple Eigenvalues of Hubbard Model: Efficiency of Communication Avoiding Neumann Expansion Preconditioner (#32) AI: Another Infrastructure?

by Mr. Fumiki Negishi, APJ Director for HPC/AI,

Intel

1700 – 1730 Application of a Preconditioned Chebyshev Basis Communication-Avoiding Conjugate Gradient Method to a Multiphase Thermal-Hydraulic CFD Code (#34) To Be Confirmed
1730 – 1800 Optimization of Hierarchical Matrix Computation on GPU (#35) Watercooling and Impact on Performance and TCO

by Matthew T. Ziegler, Director HPC and AI Architecture, Lenovo

 

*Please note that the programme may be subject to changes.

Thu, 29 Mar Plenary
Venue: Pisces 1 – 4
0900 – 0930 Industry Keynote
by Microsoft
0930 – 1000 Industry Keynote
1000 – 1030
1030 – 1100 Tea Break
Track: SG-JP Joint Session
Venue: Pisces 1
Track: Industry
Venue: Pisces 2 & 3
Track: Spectrum LSF
User Group
Venue: Pisces 4
1100 – 1230 Opening & Keynote

– Welcome to SG-JP Joint Session
– Opening Speech by Minister Naohiro Tsutsumi, Deputy Chief of Mission, Embassy of Japan in Singapore
– Brief on NSCC and SG-JP Collaborations
– Session Keynote “Green Supercomputing in Japan” by Prof. Satoshi Matsuoka
– Sharing K-Computer Open-Call for Usage by Dr. Motoi Okuda, Director RIST

Industry Track:

HPC Technology Updates & Case Studies

1100 Opening by Hong Wei Sun, Program Director, IBM Software Defined Infrastructure

1120 Spectrum LSF Roadmap by Bill Mcmillan, Global Offering Lead, Spectrum LSF, IBM

1200 Cross-region Big Data Analytics in Weather Forecasting CMA (China Methodological Administration)

1230 – 1330 Lunch Break
1330 – 1400 Session 1- Energy Efficiency & DC Cooling

– HPC Cooling Technologies by Prof. Satoshi Matsuoka

– Intelligent Data Centre by IMDA
– Panel Discussion

Panel Discussions

1330 – 1420 AI High-performance Computing in Fintech
Last year, global banks like Goldman Sachs and JP Morgan released strategy reports on harnessing alternative datasets for financial trading, while Blackrock announced a massive overhaul to focus on quantitative trading. We have seen AI being applied to all areas of finance from KYC and AML compliance, to fraud detection and customer identification. When high-performance GPU computing is made more readily accessible, what will be the implications for the financial industry? What possibilities are there on the horizon?

1420 – 1510 Will AI High-performance Computing Replace Data Scientists?
Evolutionary Algorithms, Meta-Learning, Transfer Learning and Hyperparameter Optimisation methods like Bayesian Optimisation have come together in recent years leading to solutions like AutoML and Datarobot that allow for the automated building of machine learning models. With the availability of high-performance GPU computing facilitating these methods to explore a greater search space in a shorter amount of time, does it mean the replacement of most data scientists?

1510 – 1600 AI High-performance Computing in Biotech
We have seen deep learning creating breakthroughs in all areas of biotech and healthcare, from medical image classification to the identification of precursor microRNAs. With high-performance GPU computing made more readily available and optimised for neural network training, what further possibilities might it open up? What are the implications for corporates, and the ways doctors, healthcare practitioners and scientists work in the future?

1300 – 1330 Customer Sharing – LSF Explorer, A light tool for your LSF data insight

1330 – 1400 Cognitive Scheduling

1400 – 1430 BP Sharing – LSF Suite, the best one-stop HPC Solution by Chang Hua Luo, Senior Director, ClusterTech
1430 – 1500 Hybrid Cloud in Spectrum LSF by Xun Pan, Architect, Spectrum LSF, IBM
1500 – 1530 Spectrum LSF use case/client story
1530 – 1600 Session 2 – Aerospace

– Sharing by Japan Aerospace Exploration Agency

Q&A Session, Site Report & Wrap up
1600 – 1630 Tea Break
1630 – 1700 Session 3 – Smart City Modelling
– Sharing on Smart City projects
– Panel Discussion
AI6 Challenge Top 3 Winners Presentations Spectrum LSF
user group
1700 – 1730
1730 – 1800

 

*Please note that the programme may be subject to changes.

Mon, 26 Mar Track: Tutorial
Venue: Pisces 1
Track: Tutorial
Venue: Pisces 2
Track: Tutorial
Venue: Pisces 3
Track: Tutorial
Venue: Pisces 4
0900 – 0930 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
0930 – 1000
1000 – 1030
1030 – 1100 Tea Break
1100 – 1130 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
1130 – 1200
1200 – 1230
1230 – 1330 Lunch Break
1330 – 1400 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
1400 – 1430
1430 – 1500
1500 – 1530
1530 – 1600
1600 – 1630 Tea Break
1630 – 1700 NVIDIA – DLI Workshop Fundamentals of Deep Learning for Computer Vision NVIDIA – Fundamentals of Accelerated Computing with CUDA and OpenAcc IBM – Spectrum Scale User Group Cray & Microsoft – Run HPC Applications Seamlessly on Microsoft Azure
1700 – 1730
1730 – 1800
1930 – 2200 Speakers’ Reception at Hard Rock Terrace

 

Tue, 27 Mar Opening Plenary
Venue: Ballroom East
0900 – 0915 Welcome Address
0915 – 0935 Opening Speech by GOH
0935 – 1000 SCA Awards
1000 – 1030 Opening Keynote
Relationship between High Performance Computing and Artificial Intelligence
by Dr. Goh Eng Lim, Hewlett Packard Enterprise
1030 – 1100 Tea Break
1100 – 1130 Keynote
by Dr. Satoshi Sekiguchi, National Institute of Advanced Industrial Science and Technology
1130 – 1200 Keynote
by Prof. Thomas A. DeFanti, University of Illinois at Chicago
1200 – 1230 Industry Keynote
Paving the Road to Exascale
by Gilad Shainer, HPC & AI Advisory Council
1230 – 1330 Lunch Break
Track: SCF Asia
Papers Presentation

Venue: Pisces 1
Track: Industry
Venue: Pisces 2 & 3
Track: Education
Venue: Pisces 4
APRP & APAN45
Venue: Virgo 1 – 4
1330 – 1400 Networking Technologies for AI HPC Students’ Experience Sharing on HPC Competitions Towards an Asia Pacific Research Platform (APRP)
and
Asia-Pacific Advanced Network Meeting (APAN45)
Network Computing: Accelerate HPC & AI Performance

by Avi Telyas, Director of Solution Engineering, Mellanox APAC

1400 – 1430 Big Data AI HPC Processor and Architecture Announcement on inaugural HPC AI Competition
HHVSF: A Framework to Accelerate Drug-based High-throughput Virtual Screening on High-Performance Computers (#8) Reconfigurable Accelerator Platform with Intel FPGAs

by Robin Liu, Business Development Manager, Intel PSG Asia-Pac

1430 – 1500 HBasechainDB — A Scalable Blockchain Framework on Hadoop Ecosystem (#27) To Be Confirmed To Be Confirmed
1500 – 1530 DETOUR: A Large-Scale Non-Blocking Optical Data Center Fabric (#28) To Be Confirmed To Be Confirmed
1530 – 1600 To Be Confirmed To Be Confirmed
1600 – 1630 Tea Break
1630 – 1700 Big Data Storage and Data Management for AI-HPC Education /
HPC AI Challenge
Towards an Asia Pacific Research Platform (APRP)
and
Asia-Pacific Advanced Network Meeting (APAN45)
Querying Large Scientific Data Sets with Adaptable IO System ADIOS (#36) Compute, Storage and Interconnects – Performance and Usage Scenarios

by Sandeep Lodha, CEO Netweb

1700 – 1730 On the Performance of Spark on HPC Systems: Towards a Complete Picture (#45) Parallel File System Implementation for Artificial Intelligence and Machine Learning Computing

by Carlos Thomaz & Shuichi Ihara, DDN

1730 – 1800 Experiences of Converging Big Data Analytics Frameworks with High Performance Computing Systems (#48) To Be Confirmed
1800 – 1830 To Be Confirmed
1930 – 2200 Networking Reception at S.E.A. Aquarium

 

Wed, 28 Mar Plenary
Venue: Pisces 1 – 4
0900 – 0930 Keynote
by Prof. Joe Mambretti, International Center for Advanced Internet Research, Northwestern University
0930 – 1000 Industry Keynote
Drive AI To Enter New Stage
by Qingchun Song, Mellanox APAC
1000 – 1030 Industry Keynote
Medical Discoveries when Big Data, AI & HPC Converge
by Dr Rangan Sukumar, Cray Inc
1030 – 1100 Tea Break
Track: SCF Asia
Papers Presentation
Venue: Pisces 1
Track: Industry
Venue: Pisces 2 & 3
Track: CoNGA
Venue: Pisces 4
Track: Precision Medicine
Venue: Gemini 2
1100 – 1130 GPU/FPGA Anchoring AI in Singapore
by Adhiraj Saxena, Manager, Industry Innovations, AI Singapore
Conference on Next Generation Arithmetic (CoNGA) Precision Medicine
MACC : An OpenACC Transpiler for Automatic Multi-GPU Use (#29)
1130 – 1200 Architecture of an FPGA-Based Heterogeneous System for Code-Search Problems (#31) AI-HPC Platforms and Infrastructure
Hybrid infrastructure leveraging Microsoft Azure for HPC & AI Workloads
by Luka Debaljak, Microsoft
1200 – 1230 Acceleration of Wind Simulation Using Locally Mesh-Refined Lattice Boltzmann Method on GPU-Rich Supercomputers (#37) Spark Over RDMA: Accelerate Big Data

by Yuval Degani, SparkRDMA Evangelist, Mellanox

1230 – 1330 Lunch Break
1330 – 1400 Performance Tools AI-HPC Platforms and Infrastructure Conference on Next Generation Arithmetic (CoNGA) Precision Medicine
TINS: A Task-Based Dynamic Helper Core Strategy for In Situ Analytics (#17) Building an integrated AI-accelerated HPC hardware infrastructure

by Francis Lam, Director of HPC Product Management, Huawei Technologies

1400 – 1430 Machine Learning Predictions for Underestimation of Job Runtime on HPC System (#30) Executing AI Projects Successfully In Your Organisation

by Dr. Bhushan Desam, AI Global Business Leader, Lenovo Data Center Group

1430 – 1500 A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems (#41) Access, Control, and Optimize HPC Clusters & Clouds with PBS Works 2018

by Dr. Bill Nitzberg, CTO of PBS Works, Altair

1500 – 1530 Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation (#43) Heterogeneous Supercomputing and the POWER9 Processor

by Dr. H. Peter Hofstee, Distinguished Research Staff Member, IBM Research

1530 – 1600 Network Accelerated AI

by Elad Wind, Director of Networking Solutions, Mellanox APAC

1600 – 1630 Tea Break
1630 – 1700 Linear Algebra AI-HPC Platforms and Infrastructure Conference on Next Generation Arithmetic (CoNGA) Precision Medicine
High Performance LOBPCG Method for Solving Multiple Eigenvalues of Hubbard Model: Efficiency of Communication Avoiding Neumann Expansion Preconditioner (#32) AI: Another Infrastructure?

by Mr. Fumiki Negishi, APJ Director for HPC/AI,

Intel

1700 – 1730 Application of a Preconditioned Chebyshev Basis Communication-Avoiding Conjugate Gradient Method to a Multiphase Thermal-Hydraulic CFD Code (#34) To Be Confirmed
1730 – 1800 Optimization of Hierarchical Matrix Computation on GPU (#35) Watercooling and Impact on Performance and TCO

by Matthew T. Ziegler, Director HPC and AI Architecture, Lenovo

 

Thu, 29 Mar Plenary
Venue: Pisces 1 – 4
0900 – 0930 Industry Keynote
by Microsoft
0930 – 1000 Industry Keynote
1000 – 1030
1030 – 1100 Tea Break
Track: SG-JP Joint Session
Venue: Pisces 1
Track: Industry
Venue: Pisces 2 & 3
Track: Spectrum LSF
User Group
Venue: Pisces 4
1100 – 1230 Opening & Keynote

– Welcome to SG-JP Joint Session
– Opening Speech by Minister Naohiro Tsutsumi, Deputy Chief of Mission, Embassy of Japan in Singapore
– Brief on NSCC and SG-JP Collaborations
– Session Keynote “Green Supercomputing in Japan” by Prof. Satoshi Matsuoka
– Sharing K-Computer Open-Call for Usage by Dr. Motoi Okuda, Director RIST

Industry Track:

HPC Technology Updates & Case Studies

1100 Opening by Hong Wei Sun, Program Director, IBM Software Defined Infrastructure

1120 Spectrum LSF Roadmap by Bill Mcmillan, Global Offering Lead, Spectrum LSF, IBM

1200 Cross-region Big Data Analytics in Weather Forecasting CMA (China Methodological Administration)

1230 – 1330 Lunch Break
1330 – 1400 Session 1- Energy Efficiency & DC Cooling

– HPC Cooling Technologies by Prof. Satoshi Matsuoka

– Intelligent Data Centre by IMDA
– Panel Discussion

Panel Discussions

1330 – 1420 AI High-performance Computing in Fintech
Last year, global banks like Goldman Sachs and JP Morgan released strategy reports on harnessing alternative datasets for financial trading, while Blackrock announced a massive overhaul to focus on quantitative trading. We have seen AI being applied to all areas of finance from KYC and AML compliance, to fraud detection and customer identification. When high-performance GPU computing is made more readily accessible, what will be the implications for the financial industry? What possibilities are there on the horizon?

1420 – 1510 Will AI High-performance Computing Replace Data Scientists?
Evolutionary Algorithms, Meta-Learning, Transfer Learning and Hyperparameter Optimisation methods like Bayesian Optimisation have come together in recent years leading to solutions like AutoML and Datarobot that allow for the automated building of machine learning models. With the availability of high-performance GPU computing facilitating these methods to explore a greater search space in a shorter amount of time, does it mean the replacement of most data scientists?

1510 – 1600 AI High-performance Computing in Biotech
We have seen deep learning creating breakthroughs in all areas of biotech and healthcare, from medical image classification to the identification of precursor microRNAs. With high-performance GPU computing made more readily available and optimised for neural network training, what further possibilities might it open up? What are the implications for corporates, and the ways doctors, healthcare practitioners and scientists work in the future?

1300 – 1330 Customer Sharing – LSF Explorer, A light tool for your LSF data insight

1330 – 1400 Cognitive Scheduling

1400 – 1430 BP Sharing – LSF Suite, the best one-stop HPC Solution by Chang Hua Luo, Senior Director, ClusterTech
1430 – 1500 Hybrid Cloud in Spectrum LSF by Xun Pan, Architect, Spectrum LSF, IBM
1500 – 1530 Spectrum LSF use case/client story
1530 – 1600 Session 2 – Aerospace

– Sharing by Japan Aerospace Exploration Agency

Q&A Session, Site Report & Wrap up
1600 – 1630 Tea Break
1630 – 1700 Session 3 – Smart City Modelling
– Sharing on Smart City projects
– Panel Discussion
AI6 Challenge Top 3 Winners Presentations Spectrum LSF
user group
1700 – 1730
1730 – 1800

 

*Please note that the programme may be subject to changes.

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