SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:
The current revolution in deep learning has been enabled by hardware, and progress is gated by increasing hardware performance. In the absence of Moore's Law and Dennard scaling, process technology contributes little to increased performance. To continue progress in deep learning, we rely instead on improvements in algorithms, architecture, and circuits. This talk will discuss current work on advancing hardware for deep learning.
The current revolution in deep learning has been enabled by hardware, and progress is gated by increasing hardware performance. In the absence of Moore's Law and Dennard scaling, process technology contributes little to increased performance. To continue progress in deep learning, we rely instead on improvements in algorithms, architecture, and circuits. This talk will discuss current work on advancing hardware for deep learning.  Back
 
Topics:
Performance Optimization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S91020
Streaming:
Share:
 
Abstract:
Join a special presentation from our 2018-2019 Graduate Fellowship recipients to learn what's next from the world of research and academia. Sponsored projects involve a variety of technical challenges, including topics such as 3D scene understanding, new programming models for tensor computations, HPC physics simulations for astrophysics, deep learning algorithms for AI natural language learning, and cancer diagnosis. We believe that theses students will lead the future in our industry and we're proud to support the 2018-2019 NVIDIA Graduate Fellows. For more information on the NVIDIA Graduate Fellowship program, visit www.nvidia.com/en-us/research/graduate-fellowships.
Join a special presentation from our 2018-2019 Graduate Fellowship recipients to learn what's next from the world of research and academia. Sponsored projects involve a variety of technical challenges, including topics such as 3D scene understanding, new programming models for tensor computations, HPC physics simulations for astrophysics, deep learning algorithms for AI natural language learning, and cancer diagnosis. We believe that theses students will lead the future in our industry and we're proud to support the 2018-2019 NVIDIA Graduate Fellows. For more information on the NVIDIA Graduate Fellowship program, visit www.nvidia.com/en-us/research/graduate-fellowships.  Back
 
Topics:
AI & Deep Learning Research, Virtual Reality & Augmented Reality, Graphics and AI, Computational Biology & Chemistry, Computer Vision
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9976
Streaming:
Download:
Share:
 
Opening Keynote (Keynote Talk)
Abstract:
Don't miss this keynote from NVIDIA's Chief Scientist, Bill Dally, as he speaks on the future of computing.
Don't miss this keynote from NVIDIA's Chief Scientist, Bill Dally, as he speaks on the future of computing.  Back
 
Topics:
Artificial Intelligence and Deep Learning
Type:
Keynote
Event:
GTC Israel
Year:
2018
Session ID:
SIL8101
Streaming:
Share:
 
Abstract:

Deep learning is emerging as a major application for high-performance computing. While training of deep neural networks (DNNs) places some unique demands on computing hardware its shares with mainstream HPC applications the need for high performance arithmetic, high memory bandwidth, and high-bandwidth, low-latency networks. Deep learning can also be used to enhance traditional HPC applications both by interpreting the results and by “learning” constituent equations. This talk will examine the common requrements of DL and HPC and applications of DL to HPC. 

Deep learning is emerging as a major application for high-performance computing. While training of deep neural networks (DNNs) places some unique demands on computing hardware its shares with mainstream HPC applications the need for high performance arithmetic, high memory bandwidth, and high-bandwidth, low-latency networks. Deep learning can also be used to enhance traditional HPC applications both by interpreting the results and by “learning” constituent equations. This talk will examine the common requrements of DL and HPC and applications of DL to HPC. 

  Back
 
Topics:
HPC and Supercomputing, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
Supercomputing
Year:
2016
Session ID:
SC6119
Streaming:
Share:
 
Keynote Address (Keynote Talk)
Abstract:

Opening Keynote Speech

Opening Keynote Speech

  Back
 
Topics:
Intelligent Machines, IoT & Robotics
Type:
Keynote
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCS16158
Streaming:
Share:
 
Abstract:

It's not just America's business community that is embracing Artificial Intelligence, but the Federal Government as well. In early October, the White House issued a report entitled "Preparing for the Future of Artificial Intelligence," after conducting a series of public workshops with prominent universities around the country. Join us for a conversation with leading thinkers on how the government and the private sector are preparing for that future, including discussion of the economic impact of AI, the role of the government in funding critical AI research, and how AI can help address current public policy challenges.

It's not just America's business community that is embracing Artificial Intelligence, but the Federal Government as well. In early October, the White House issued a report entitled "Preparing for the Future of Artificial Intelligence," after conducting a series of public workshops with prominent universities around the country. Join us for a conversation with leading thinkers on how the government and the private sector are preparing for that future, including discussion of the economic impact of AI, the role of the government in funding critical AI research, and how AI can help address current public policy challenges.

  Back
 
Topics:
Federal
Type:
Panel
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCS16190
Streaming:
Share:
 
Abstract:

HPC and data analytics share challenges of power, programmability, and scalability to realize their potential. The end of Dennard scaling has made all computing power limited, so that performance is determined by energy efficiency. With improvements in process technology offering little increase in efficiency, innovations in architecture and circuits are required to maintain the expected performance scaling. The large scale parallelism and deep storage hierarchy of future machines poses programming challenges. This talk will discuss these challenges in more detail and introduce some of the technologies being developed to address them.

HPC and data analytics share challenges of power, programmability, and scalability to realize their potential. The end of Dennard scaling has made all computing power limited, so that performance is determined by energy efficiency. With improvements in process technology offering little increase in efficiency, innovations in architecture and circuits are required to maintain the expected performance scaling. The large scale parallelism and deep storage hierarchy of future machines poses programming challenges. This talk will discuss these challenges in more detail and introduce some of the technologies being developed to address them.

  Back
 
Topics:
HPC and Supercomputing
Type:
Talk
Event:
Supercomputing
Year:
2013
Session ID:
SC3107
Streaming:
Download:
Share:
 
Speakers:
Bill Dally
- NVIDIA
 
Topics:
HPC and AI
Type:
Talk
Event:
Supercomputing
Year:
2010
Session ID:
SC1009
Download:
Share:
 
Speakers:
Bill Dally
- NVIDIA
 
Topics:
HPC and AI
Type:
Talk
Event:
Supercomputing
Year:
2009
Session ID:
SC0913
Streaming:
Download:
Share:
 
Abstract:
Join our panel of leading industry experts as they discuss some of the most exciting and disruptive current and future applications to be built on top of GPUs. Topics will cover both visual and high performance computing, including rendering, video processing, scientific computing, cloud computing, and more. Industry analyst Rob Enderle will moderate this marquis panel, which will include Steve Perlman, Founder and CEO- ONLIVE; Simon Hayhurst, Senior Director of Product Management - Adobe; Sean Varah CEO- MotionDSP; and Bill Dally, NVIDIA's Chief Scientist.
Join our panel of leading industry experts as they discuss some of the most exciting and disruptive current and future applications to be built on top of GPUs. Topics will cover both visual and high performance computing, including rendering, video processing, scientific computing, cloud computing, and more. Industry analyst Rob Enderle will moderate this marquis panel, which will include Steve Perlman, Founder and CEO- ONLIVE; Simon Hayhurst, Senior Director of Product Management - Adobe; Sean Varah CEO- MotionDSP; and Bill Dally, NVIDIA's Chief Scientist.  Back
 
Topics:
General Interest
Type:
Talk
Event:
GTC Silicon Valley
Year:
2009
Session ID:
S09425
Download:
Share: