GPU Technology Conference

GPU Technology Conference Asia South 2015

WELCOME TO GPU Technology Conference Asia South 2015

GPU Technology Conference (GTC) is the largest and most important event of the year for GPU developers and the entire ecosystem.
This year, the GTC Asia South highlights the growing revolution in deep learning, and how technology enables growing number of Smart Cities around the world.
GTC Asia South tracks:

  • Deep Learning: The Deep Learning Track focuses on state-of-the-art research powered by GPU technology for image classification, video analytics, speech recognition, and natural language processing.
  • Smart City: Discover disruptive GPU-accelerated technologies for large data analysis, video analytics, autonomous driving and artificial intelligence in a Smart City environment. Learn how these technologies support better management of transport and traffic, energy and water resources, safety and security, and healthcare in Smart Cities worldwide.
  • Accelerated Science: Learn how your peers from across APJ are accelerating discovery and insight with GPUs.

Join us at the epicenter of computing technology. Register today.

CALL FOR POSTERS

As part of GTC Asia South 2015, we present the Best Research Poster Award.
We are looking for submissions of research posters, from both academia and industry, describing ongoing GPU-enabled research, exciting new research projects, and encouraging preliminary results. SUBMIT NOW

 
Event Detail
 
News
 

Agenda

Speaker Introduction

Time Session Speaker Slides

Keynotes

08:30 – 09:30 Registration
09:20 – 09:30 Ivy Rayner, Senior Director, Enterprise Business, Asia Pacific South, NVIDIA
Opening Address
 
9:30 – 10:00 Marc Hamilton, VP, Solution Architecture, NVIDIA
Opening Keynote
PDF
10:00 - 10:40 Prof Qiang Yang, Technical Advisor to WeChat, Tencent
"From Social Assistant to Intelligent Assistant using Deep Learning"
PDF
10:40 - 11:00 Paul Bonnington, Professor and Director of e-Research, Monash University, AustraliaPDF
11:00 – 11:30 Morning Tea break

Vertical Tracks

 

Deep Learning & AI
(Room 3356)


The Deep Learning Track focuses on state-of-the-art research powered by GPU technology for image classification, video analytics, speech recognition, and natural language processing.
Smart City
(Room 331)


Discover disruptive GPU-accelerated technologies for large data analysis, video analytics, autonomous driving and artificial intelligence in a Smart City environment.
Accelerated Science & HPC
(Room 332)


Learn how scientists and industry professionals from across APJ are accelerating discovery and insight with GPUs.
11:30 – 12:10 Jonathan Cohen, Director, Deep Learning Software, NVIDIA
"Powering the Deep Learning Revolution"
PDF
Pradeep Gupta, Sr. Solution Architect, NVIDIA
"GPU-accelerated Platform Transforming the Smart Cities Landscape"
PDF
Paul Bonnington, Professor and Director of e-Research Center, Monash University and Dr Wojtek Goscinski, Manager, High Performance Computing of e-Research Center, Monash University
"The Microscope for 21st Century Discovery: MASSIVE & CAVE2"
PDF
12:10 – 12:40 Prof Steven Hoi, Associate Professor, School of Information Systems (SIS), SMU
"Large Scale Deep Learning for Image Classification and Retrieval"
Michael Lim, Safer Cities Development Analytics Deployment, NEC Corporation
"Safer Cities Development Analytics Deployment"
Dr Magic Fang, VP, BGI Research
"Computing Challenge on Precision Medicine"
PDF
12:40 – 13:30 Lunch break
13:30 – 14:00 Gianmauro Calafiore, CEO, Founder, Loop AI Labs and Mario Domingo, Founder, Managing Partner, lloopp,Natural Intelligence Solutions
"Diving Deep into Smart Nations: From Super Computing to Intelligent Transformations"
PDF
Ryan Wang, Director, Technology Enabler,
Supermicro
"Connect, Compute and Converge"
PDF
Andrew Schuh, University of Illinois at Urbana-Champaign, Electrical Engineering, Director of the CUDA Center of Excellence
"GPU Centers of Excellence – Catch the Vision"
PDF
14:00 – 14:30 Dr Dennis Sng, Director, NTU ROSE Lab
"Enhancing Visual Object Search and Video Analytics with Machine Learning"
PDF
Chin Lock Oh, Deputy Director, Capability & Industry Development, Temasek Poly
"Smart Campus Platform"
PDF
Peter Strazdins, Australian National University
"Challenges in Accelerating Operational Weather and Climate Codes"
PDF
14:30 – 15:00 Timothy Chua, Server Business Manager, Asia Pacific & Japan, Dell
"The Intelligent DataCentre of Tomorrow – Optimizing High Density Workloads Paralleled with Speed for Big Data Analytics Processing"
PDF
Dr Tao, Founder and CEO
Beijing Vion Technology Inc.
"TK1-Based Solutions for Intelligent Video Analytic Applications"
PDF
Ng Jit Keong, Technical Marketing Manager, HP SEA
"HP Server Platforms for High Performance Computing and Big Data"
PDF
15:00 – 15:20 Afternoon Tea break
15:20 – 15:50 Professor Pablo Moscato, University of Newcastle, Australia; Future Fellow at Australian Research Council; and Founding Director at Centre for Bioinformatics, Biomarker Discovery and Information-based Medicine
"GPUs Accelerate Large-scale Predictive Analytics"
Shahirina Mohd Tahir, Senior Engineer, MIMOS, Malaysia
"GPU-based Multi Camera Multi Video Analytics Platform for Surveillance"
Pradeep Gupta, Sr. Solution Architect, NVIDIA
"Recent updates on CUDA & OpenACC Platform"
PDF
15:50 – 16:20 Dr. Shafaatunnur Hasan
GPU Principal Researcher, UTM Big Data Centre Universiti Teknologi Malaysia
"Massive Parallelism of Harmony Memory in N-Dimensional Space"
PDF
Smart Nation Industry Panel (Xjera, Trakomatic, Vion Tech, lloopp)
Topic: Challenges and Advantages of GPU Acceleration for the Smart Nation Requirements and Use Cases
PDF PDF
Dr Tan Tin Wee, Director, National Supercomputing Centre (NSCC) & Gabriel Noaje, senior computational scientist (PhD), A*CRC
"National Supercomputing Centre of Singapore - Presentation and Projects"
PDF PDF
16:20 – 16:50 Mike Wang, Solution Architect, NVIDIA, ANZ
"Easy Multi-GPU Deep Learning with DIGITS 2"
He Bingsheng, Assistant Professor, NTU & ASC Student Supercomputer Challenge 2015 Team
"GPU Computing for Big Data and Beyond"
"ASC15: Breaking the LINPACK World Record"
16:50 - 17:00 Closing & Lucky Draw

Prof Qiang Yang

Technical Advisor to WeChat, Tencent

Qiang Yang is the Technical Advisor to WeChat, Tencent. He is the New Bright University Named Chair Professor of Engineering and department head of the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. His research interests are machine learning, big data analysis, and artificial intelligence. He is a fellow of AAAI, IEEE, IAPR and AAAS, and ACM Distinguished Scientist.

Marc Hamilton

Vice President, Solution Architecture & Engineering, NVIDIA

This track provides a unique chance to discover best practices of graphics-accelerated virtualization. At NVIDIA, the Visual Computing Company, Marc leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA's customers and partners to deliver the world's best end to end solutions for professional visualization and design, high performance computing, and big data analytics.

Prior to NVIDIA, Marc worked in the Hyperscale Business Unit within HP's Enterprise Group where he led the HPC team for the Americas region. Marc spent 16 years at Sun Microsystems in HPC and other sales and marketing executive management roles.

Marc also worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, "Software Development, Building Reliable Systems". Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.

Jonathan Cohen

Director of Engineering , Deep Learning Software, NVIDIA

Jonathan Cohen is Director of Engineering for NVIDIA's GPU-accelerated deep learning software platform. Before moving to the product side of NVIDIA, Mr. Cohen spent three years as a senior research scientist with NVIDIA Research developing scientific computing and real-time physical simulation applications on NVIDIA's massively parallel GPUs.
Prior to joining NVIDIA, Mr. Cohen worked in the Hollywood feature film visual effects industry, where he developed software for films including "The Cat in the Hat" and "The Chronicles of Narnia: The Lion, the Witch and the Wardrobe." He led development of the sand simulation and rendering system for "Spider-Man 3" as a Computer Graphics Supervisor at Sony Pictures Imageworks.
Mr. Cohen was awarded an Academy Award (Technical Achievement Award) in 2007 from the Academy of Motion Pictures Arts and Sciences for his work on fluid simulation and volumetric modeling for visual effects. He received an undergraduate degree from Brown in Mathematics and Computer Science.

Wojtek James Goscinski

Manager, High Performance Computing Monash eResearch Center, Monash University

Wojtek James Goscinski is the Coordinator of the Multimodal Australian ScienceS Imaging and Visualisation Environment (MASSIVE), a specialist Australian high performance computing facility for imaging and visualization, and the External Collaborations Manager at the Monash e-Research Centre a role in which he leads teams to develop effective and creative applications of computing in research. He is the lead applicant on over $3M of competitive and successfully funded research infrastructure projects. He holds a PhD in Computer Science, a Bachelor of Design (Architecture), and a Bachelor of Computer Science.

Paul Bonnington

Director of the Monash eResearch Centre, Monash University, and a Professor in the School of Mathematical Sciences.

Prof Paul Bonnington is a member of the Go8 Digital Futures group, and the steering committees for the Victorian Life Sciences Computing Initiative (VLSCI) and National Computational Infrastructure’s Specialist Facility for Imaging and Visualisation (MASSIVE). Paul is also a member of CSIRO’s e-Research Council. He recently served as the Chair of the Steering Committee for the Australian National Data Service Establishment Project. The Australian National Data Service is an initiative of the Australian Government begun under the National Collaborative Research Infrastructure Strategy. Since its development, it has executed plans to develop Australia’s research data infrastructure, capture descriptions of Australia’s research data, and to build Australia’s research data management capability. The Monash e-Research Centre’s (MeRC) role is to build collaborations between research disciplines, nurture e-Research developments and to build bridges between researchers and service providers. The Centre is an initiative of Monash University’s Deputy-Vice Chancellor (Research) to support researchers, by harnessing the resources and capacities of the IT Services Division, the University Library and computer scientists in the Faculty of Information Technology to enhance research capability.

Pablo Moscato

University of Newcastle, Australia; Australian Research Council Future Fellow at Australian Research Council; and Founding Director at Centre for Bioinformatics, Biomarker Discovery and Information-based Medicine

Professor Moscato is an author of nearly 200 academic publications with over 6,963 Google citations and a Google g-index of 79. Professor Moscato introduced Memetic Algorithms in a technical report at the California Institute of Technology Concurrent Computation Program (26 years ago) and it is now his most cited unpublished work with nearly 1,500 citations (and one of the most cited non-published technical reports of that institution). Since 2009, Springer has a journal entirely dedicated to the topic called “Memetic Computing”. In 2013, The IP & Science division of Thomson Reuters identified "Memetic Computing" as one of the world's top ten research fronts of the combined areas of Mathematics, Computer Science and Engineering. The selection was done from approximately "8,000 research fronts currently identified".

Prof. Moscato is recognised as a top strategic and innovative thinker and has been recently elected by his peers to be a member of the Council of the University of Newcastle. He has also been a member of Research Council of the Hunter Medical Research Institute since 2006, and one of the four Program Leaders of the ARC Centre of Excellence in Bioinformatics since 2007.

Dr Magic Fang

VP, BGI Research

Dr. Fang received Ph.D. from University of Copenhagen. He is the Vice president of BGI, in charge of cloud computing and high performance computing, and VP of China Cloud Consortium. He has been a key member of several genome projects, and lead his team to develop various bioinformatics tools and publish papers in the top ranking journals. He received two HPC Innovation Excellence awards from IDC and the Best Practices Award from Bio-IT World. He is an Architect of Million Omics Database ecosystem.

Pradeep Gupta

Senior Solutions Architect, NVIDIA

Pradeep Gupta is a Senior Solutions Architect at NVIDIA, where he supports customers and developers across ASEAN region for HPC application development and optimization on the CUDA platform, Deep learning and enterprise virtualization. Pradeep also works to enable the GPU computing ecosystem in universities and research labs across region. Pradeep also responsible for providing technical guidance on NVIDIA technologies to NVIDIA partner network and ISVs in region. He is also working on smart cities enablement with GPU computing globally. Before joining NVIDIA, Pradeep had worked with various technologies including the IBM Cell architecture, MPI, OpenMP, and green data centre technologies. Pradeep received a Master's degree in research from the Indian Institute of Science (IISc), Bangalore. His research focused on developing compute-efficient algorithms. He has numerous publications in IEEE, SPIE and other reputed conferences.

Simon See

Director and Chief Solution Architect, NVIDIA APJ

Prof Simon See is currently the High Performance Computing Technology Director and Chief Solution Architect for Nvidia Inc, Asia and also a Professor and Chief Scientific Computing Officer in Shanghai Jiao Tong University. Concurrently A/Prof See is also the Chief Scientific Computing Advisor for BGI (China). His research interests are in the area of High Performance Computing, computational science, Applied Mathematics and simulation methodology. He has published over 100 papers in these areas and has won various awards.

Prof See is also member of SIAM, IEEE and IEE. He also committee member of more than 50 conferences.

Dr. See graduated from University of Salford (UK) with a Ph.D. in electrical engineering and numerical analysis in 1993. Prior to joining NVIDIA, Dr See worked for SGI, DSO National Lab. of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems and Oracle. He is also providing consultancy to a number of national research and supercomputing centers.

Dr Steven Hoi

SMU

Dr. Steven Hoi is an Associate Professor in the School of Information Systems (SIS), Singapore Management University (SMU), Singapore. Prior to joining SMU, he was a tenured Associate Professor at the School of Computer Engineering of the Nanyang Technological University (NTU), Singapore. He received his Bachelor degree from Tsinghua University, and his Master and Ph.D degrees from the Chinese University of Hong Kong. His research interests include large-scale machine learning with application to tackling big data analytics challenges across a wide range of real-world applications, including multimedia retrieval, social media, web search and information retrieval, computer vision and pattern recognition, computational finance, cyber security, mobile and software data mining, etc. He has published over 100 papers in premier conferences and journals, and served as an organizer, area chair, senior PC, TPC member, editors, and referee for many top conferences and premier journals.

Gianmauro Calafiore

Founder, CEO, Loop AI

Gianmauro is the Chief Executive Officer at Loop AI Labs. A lifelong entrepreneur, he became CEO for the first time at the age of 19. He started as an independent consultant, managing projects for Fortune 100 Italian companies aiming to integrate their internal computing systems with Internet and mobile. He founded GSMBOX, the first pan-European mobile media group that has integrated mobile, Internet and television. GSMBOX, in partnership with Telecinco (the largest commercial broadcaster in Spain) and Endemol (the global leader in television entertainment, now part of 21st Century Fox) launched the first European Interactive TV format integrated with Premium SMS. He co-founded Endemol-GSMBOX SpA, headquartered in London, a JV between Endemol International and GSMBOX Group with the aim of integrating and developing mobile media interaction in the Endemol format's portfolio distributed worldwide. GSMBOX was acquired by Buongiorno (now part of NTT DoCoMo).
Gianmauro is currently a shareholder and the Chairman of SMS.it, the first European cloud messaging provider founded in 1996.

Todd Mask

Co-Founder, CEO, MapD

Todd Mostak is the co-founder and CEO of MapD, a startup building an ultra-fast GPU analytics and visualization platform. Todd completed his graduate work in Middle Eastern Studies at Harvard, where his frustration with the inability of existing tools to interactively explore hundreds of millions of tweets inspired him to create MapD. He then spent a year as a researcher in the Database group at MIT CSAIL under Prof. Sam Madden before spinning MapD into a company.