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GPU Techology Conference 2017
THE POWER OF GTC
GTC is the largest and most important event of the year for GPU developers.
GTC and the global GTC event series offer valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, and self-driving cars.
Connect with technology experts from NVIDIA and other leading organizations.
Gain insight and hands-on training through the hundreds of labs, talks and research posters.
See how GPU technologies are creating amazing breakthroughs in important fields such as deep learning.
Hear about disruptive innovations as early-stage companies and startups present their work.
GTC AROUND THE WORLD
We're broadening the reach of GTC with a series of conferences in seven cities across four continents. Register to attend one of our global events or tune in to watch the keynotes.
Jensen Huang co-founded NVIDIA in 1993 and has served since its inception as president, chief executive officer and a member of the board of directors. Under his leadership, NVIDIA invented the graphics processing unit (GPU) in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from smartphones and tablets to notebooks and workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing that make supercomputing inexpensive and widely accessible. The company holds more than 7,000 U.S. patents granted or pending, including ones covering designs and insights fundamental to modern computing. Huang is a recipient of the Dr. Morris Chang Exemplary Leadership Award from the Global Semiconductor Association in recognition of his exceptional contributions to driving the development, innovation, growth and long-term opportunities of the fabless semiconductor industry. He has received the Daniel J. Epstein Engineering Management Award from the University of Southern California and an honorary doctorate from Oregon State University. He was named to the U.S. Immigrant Entrepreneur Hall of Fame when it was established in 2012. Prior to founding NVIDIA, Huang worked at LSI Logic and Advanced Micro Devices. He holds a BSEE degree from Oregon State University and an MSEE degree from Stanford University.
Shalini De Mello has been a senior research scientist at NVIDIA Research since 2013. Shalini's interests are in computer vision and machine learning technology for human-computer interaction and smart interfaces. Prior to joining NVIDIA Research, she worked as a senior computer vision engineer at NVIDIA. Her work includes NVIDIA's shipping products for head pose tracking, hand gesture recognition, face detection, video stabilization, and libraries for the development for computer vision applications on mobile platforms. She received doctoral and master's degrees in electrical and computer engineering from the University of Texas at Austin in 2008 and 2004, respectively.
Mark Harris is chief technologist for GPU Computing Software at NVIDIA. Mark has 15 years of experience developing software for GPUs, ranging from graphics and games to physically based simulation, parallel algorithms, and high performance computing. Mark has been using GPUs for general-purpose computing since before they even supported floating point arithmetic. While a Ph.D. student at the University of North Carolina, he recognized this nascent trend and coined a name for it: GPGPU (general-purpose computing on graphics processing units), and started GPGPU.org to provide a forum for those working in the field to share and discuss their work.
High Performance Computing Team Leader, Alibaba Cloud
Liang You is in charge of the High Performance Computing Team at Alibaba Cloud, a subsidiary of Alibaba Group. He focuses on platform construction and performance optimization for High Performance Computing domains including Machine Learning, Weather Forecasting and so on. Before joining Alibaba, Liang worked as senior technical engineer at Intel Software & Service Group.
Sayan Pathak is a principal engineer and machine learning scientist at Microsoft. He is on the faculty at the University of Washington and IIT Kharagpur, India. His interests are in deep learning, vision, informatics, and online ads.
Yangqing Jai is Research Scientist at Facebook focusing on building AI platforms and algorithms that advance both research and products. His interest lies in computer vision, large-scale machine learning algorithms, and heterogeneous computation on GPGPU, mobile, and other platforms.
Prior to Facebook he worked at Google Brain on various projects including winning ImageNet 2014 and TensorFlow. Yangqing obtained his PhD degree at UC Berkeley on machine learning and computer vision research, and initiated the Caffe project, now an open-source framework for deep learning.
Andrew Gibiansky is a machine learning and systems engineer at Baidu Silicon Valley AI Lab (SVAIL). Before working on deep learning at SVAIL, he spent several years working at the intersection of genetics, computer science, and robotics. Prior to that, Andrew graduated with a degree in mathematics from Harvey Mudd College.
Ian Goodfellow is a research scientist at Google. He is best known as the inventor of generative adversarial networks and as the lead author of the Deep Learning textbook. He has studied under Andrew Ng at Stanford University and Yoshua Bengio and Aaron Courville at Universite de Montreal. Prior to joining Google, he was a senior research scientist at OpenAI. His research interests include generative models and machine learning security.
Professor of Radiology and Biomedical Informatics, Stanford University
Curtis P. Langlotz, M.D., Ph.D. serves as professor of radiology and biomedical informatics and associate chair for information systems in the Department of Radiology at Stanford University. He’s also a medical informatics director for Stanford Health Care, responsible for the computer technology that supports the Stanford Radiology practice. His research is focused on reducing diagnostic errors through real-time decision support systems and his biomedical informatics laboratory develops novel algorithms that provide intelligent assistance to radiologists, clinicians, patients, and others.
Brad Erickson received his M.D. and Ph.D. from Mayo Clinic. After completing a neuroradiology fellowship at Mayo, he joined the staff 20 years ago and is currently associate chair for research. Focused on clinical neuroradiology, Brad has been awarded multiple external grants, including NIH grants on MS, brain tumors, polycystic kidney disease, and medical image processing. He is a former president of the Society of Imaging Informatics in Medicine and is the chair of the board of directors for the American Board of Imaging Informatics and is on the board of the IHE USA.
Aerospace Technologist/Hybrid Reality Lab Software Lead, NASA
Matthew Noyes is the software lead at the NASA Johnson Space Center's Hybrid Reality Lab. His diverse background includes six years of professional experience in mechanical engineering, software design, 3D modeling and leveraging technologies developed and used by the interactive entertainment industry for space applications.
Principal Member of Engineering Staff, LOCKHEED MARTIN
Rich Rabbitz is a Principal Member of the Engineering Staff in the Ship Integration Test organization at Lockheed Martin Rotary and Mission Systems (RMS). He has been leading the graphics group in the Lockheed Martin's Surface Navy Innovation Center since its opening in 2014. Rich applies 3D graphics technologies such OpenGL, NVIDIA CUDA®, OptiX™, Iray®, augmented reality, and virtual reality to many different engineering disciplines throughout Lockheed Martin. He holds a Master of Science in Engineering degree in Computer Graphics from the University of Pennsylvania. Rich is also a Professor in the Computer Science department at Rowan University.
Janet Goldenstein is lead developer at EchoPixel. Previously, Janet worked at Elekta and General Electric Healthcare. She is an expert in medical imaging and image processing, and received her Ph.D. in biomedical engineering from UC Berkeley.
Bingcai Zhang is a tech fellow with expertise in computer vision and artificial intelligence. He invented DeepObject with Simplicity Learning and Singular Classification, achieving near human-level accuracy.
Alisa Andrasek is an architect and designer whose work focuses on robotics and computational processes for innovation in architecture, design, construction, and novel manufacturing. She is a director of Biothing, co-director of Bloom Games, co-founder of AI-Build, and director of Wonderlab Research at the UCL Bartlett. Alisa holds a professorship at the European Graduate School and has taught at AA DRL, Columbia GSAPP, UPenn, and RMIT. She’s received numerous awards and her work is among the permanent collections at the Centre Pompidou Paris, New Museum NY, Storefront NY, FRAC Collection, and TB-A21 Vienna.
HPC User Assistance and Outreach Group, OAK RIDGE NATIONAL LABORATORY
Fernanda Foertter is a member of the User Assistance Team at the National Center for Computational Sciences (NCCS) located at Oak Ridge National Laboratory (ORNL). This team is responsible for assisting all users at the Oak Ridge Leadership Computing Facility (OLCF). Fernanda is responsible for the training program at the center and represents OLCF at both the OpenACC and OpenMP organizations.
H. Carter Edwards
Principle Member Technical Staff, SANDIA NATIONAL LABORATORIES
H. Carter Edwards is the principal investigator and architect for the Kokkos project at Sandia National Laboratories. He has over three decades of experience in modeling and simulation software development and over two decades of experience in HPC, parallel processing, and C++ software development. For the last several years, his HPC focus has been on algorithms and programming models for thread-scalable and performance portable parallelism across next-generation platform node architectures. Carter has a B.S. and M.S. in aerospace engineering and a Ph.D. in computational mathematics. He also represents Sandia on the ISO C++ language standard committee.
Dirk Van Gelder joined Pixar Animation Studios in 1997 as an software engineer for Academy Award® nominated film "A Bug's Life." and winning short film "Geri's Game", working on animation software and the studio's first use of subdivision surfaces. Dirk has worked on software for every Pixar movie since, including the ground-up rewrite of the studio's proprietary animation system Presto. Currently Dirk leads the Presto Character team within in the Pixar Studio Tools Department.
Masashi Okubo is a Large Project Leader on Honda's Next-Gen EWS project. He leads evolution and optimization of the engineering workstation environment, which is accelerated for CAD/CAE/PLM solutions for all of Honda's designers, engineers, and related company engineers. Masashi has over 20 years of experience in optimization, computer simulation, and system development/project management for the automobile development process for stylists and designers.
Presented by NVIDIA, GTC is comprised of the annual conference, year-long webinar series, and workshops that connect the global community of developers, researchers, and scientists through unique educational and networking opportunities.