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GTC ON-DEMAND

Accelerated Data Science
Presentation
Media
Abstract:
NVSwitch on the DGX-2 is a super crossbar switch which greatly increases the application performance in several ways. First, it increases the problem size capacity traditionally limited by a single GPU's memory to the aggregate DGX-2 GPU mem ...Read More
Abstract:

NVSwitch on the DGX-2 is a super crossbar switch which greatly increases the application performance in several ways. First, it increases the problem size capacity traditionally limited by a single GPU's memory to the aggregate DGX-2 GPU memory of 512 GB. Second, NUMA-effects of traditional multi-GPU servers are greatly reduced, growing memory bandwidth with the number of GPUs. Finally, ease-of-use is simplified as apps written for a smaller number of GPUs can now be more easily ported with the large memory space. 

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Topics:
Accelerated Data Science
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1808
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Abstract:
Get an inside look at the world's most powerful AI system, NVIDIA DGX-2. Explore the design and hardware architecture that enables sixteen Tesla Volta GPUs to operate as one giant GPU. Find out how NVIDIA DGX-2 can enable you to explore and ...Read More
Abstract:

Get an inside look at the world's most powerful AI system, NVIDIA DGX-2. Explore the design and hardware architecture that enables sixteen Tesla Volta GPUs to operate as one giant GPU. Find out how NVIDIA DGX-2 can enable you to explore and solve the most complex AI challenges.

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Topics:
Accelerated Data Science
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1828
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Abstract:
This talk will present the results of running the following Graph500 and DARPA Graph Challenge benchmarks and highlight the improvements over other platforms: BFS Graph500
• Single Source Shortest Paths Graph500
• PageRan ...Read More
Abstract:

This talk will present the results of running the following Graph500 and DARPA Graph Challenge benchmarks and highlight the improvements over other platforms: BFS Graph500
• Single Source Shortest Paths Graph500
• PageRank Pipeline Graph Challenge
• Triangle Counting Graph Challenge
• K-Truss Graph Challenge The tremendous performance advantages of the DGX-2 platform for deep-learning has recently gained a lot of publicity. However, that is not the only analytic environment that can take advantage of the DGX-2 architecture. Having sixteen fully connected 32GB Volta GPUs presents an intriguing platform for Graph Analytics. The 512GB of combined GPU memory and full NVLink connection between the GPUs offers a number of advantages over a distributed MPI-based approach.

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Topics:
Accelerated Data Science, RAPIDS
Type:
Talk
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8110
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Climate, Weather, Ocean Modeling
Presentation
Media
Abstract:
We'll talk about how we're applying deep learning to weather forecasting at Weather News, one of the world's largest forecasting companies. We're now able to provide Japanese TV news shows with AI-generated weather information, and we plan to exp ...Read More
Abstract:
We'll talk about how we're applying deep learning to weather forecasting at Weather News, one of the world's largest forecasting companies. We're now able to provide Japanese TV news shows with AI-generated weather information, and we plan to expand elsewhere in Asia. We'll explain how we used TensorFlow on an NVIDIA DGX-2 machine and innovative learning model to add measurement results and increase accuracy of our forecaster. We'll also talk about how we're creating new learning models with TensorRT on the DGX-2. We'll touch on other potential uses for our weather technology in settings such as autonomous cars and solar power plants.  Back
 
Topics:
Climate, Weather, Ocean Modeling, Advanced AI Learning Techniques
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9164
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Data Center and Cloud Infrastructure
Presentation
Media
Abstract:
Learn our solutions for increasing GPU resource utilization on an on-premise DGX-2 node and public clouds. In this talk we present our operational experiences of a set of multi-tenant deep learning workloads selected through an open competition. To h ...Read More
Abstract:
Learn our solutions for increasing GPU resource utilization on an on-premise DGX-2 node and public clouds. In this talk we present our operational experiences of a set of multi-tenant deep learning workloads selected through an open competition. To host them we use and extend the Backend.AI framework as the resource and computation manager. While tailored for both educational and research-oriented workloads, it offers a topology-aware multi-GPU resource scheduler combined with fractional GPU scaling implemented via API-level CUDA virtualization, achieving higher GPU utilization compared to vanilla setups.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization, Deep Learning and AI Frameworks
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9406
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Deep Learning and AI
Presentation
Media
Abstract:
This technical session will explore the objectives for building the DGX-2, along with the inspired, innovative technology and architecture used to eliminate traditional bottlenecks and to enable multi-GPU training at unprecedented scale. This ta ...Read More
Abstract:

This technical session will explore the objectives for building the DGX-2, along with the inspired, innovative technology and architecture used to eliminate traditional bottlenecks and to enable multi-GPU training at unprecedented scale. This talk led by the DGX product team will present on the following topics:
-the innovation and architecture found in NVSwitch, which enables the AI network fabric for the DGX-2 platform
-the design challenges and hardware architecture employed to enable 16 V100's to operate as one
-feature by feature walkthrough highlighting the most important innovations that accelerate deep learning workflow and training performance
-use cases that were previously unaddressable on a GPU platform, now solved with DGX-2

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Topics:
Deep Learning and AI
Type:
Talk
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8143
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HPC and AI
Presentation
Media
Abstract:
PSC's "Bridges" was the first system to successfully converge HPC, AI, and Big Data. Designed for the U.S. national research community and supported by NSF, it now serves approximately 1600 projects and 7500 users at over 350 insti ...Read More
Abstract:

PSC's "Bridges" was the first system to successfully converge HPC, AI, and Big Data. Designed for the U.S. national research community and supported by NSF, it now serves approximately 1600 projects and 7500 users at over 350 institutions. Bridges emphasizes "nontraditional" uses that span the life, physical, and social sciences, engineering, and business, many of which are based on AI or AI-enabled simulation. We describe the characteristics of Bridges that have made it a success, and we highlight several inspirational results and how they benefited from the system architecture. We then introduce "Bridges AI", a powerful new addition for balanced AI capability and capacity that includes NVIDIA's DGX-2 and HPE NVLink-connected 8-way Volta servers. 

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Topics:
HPC and AI
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1832
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Abstract:
This session presents an overview of the hardware and software architecture of the DGX-2 platform. This talk will discuss the NVSwitch hardware that enables all 16 GPUs on the DGX-2 to achieve 24x the bandwidth of two DGX-1V systems. CUDA develo ...Read More
Abstract:

This session presents an overview of the hardware and software architecture of the DGX-2 platform. This talk will discuss the NVSwitch hardware that enables all 16 GPUs on the DGX-2 to achieve 24x the bandwidth of two DGX-1V systems. CUDA developers will learn ways to utilize the full GPU connectivity to quickly build complex applications and utilize the high bandwidth NVLINK connections to scale up performance.

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Topics:
HPC and AI, Data Center and Cloud Infrastructure, AI for Business, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8688
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HPC and Supercomputing
Presentation
Media
Abstract:
In this talk attendees will learn how key algorithms for Numerical Weather Prediction were ported to the latest GPU technology and the substantial benefits gained from doing so. We will showcase the power of individual Voltas and the impressive perfo ...Read More
Abstract:
In this talk attendees will learn how key algorithms for Numerical Weather Prediction were ported to the latest GPU technology and the substantial benefits gained from doing so. We will showcase the power of individual Voltas and the impressive performance of the cutting edge DGX-2 server with multiple GPUS connected by a high speed interconnect.  Back
 
Topics:
HPC and Supercomputing
Type:
Talk
Event:
GTC Europe
Year:
2018
Session ID:
E8195
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Performance Optimization
Presentation
Media
Abstract:
NVIDIA's DGX-2 system offers a unique architecture which connects 16 GPUs together via the high-speed NVLink interface, along with NVSwitch which enables unprecedented bandwidth between processors. This talk will take an in depth look at the ...Read More
Abstract:

NVIDIA's DGX-2 system offers a unique architecture which connects 16 GPUs together via the high-speed NVLink interface, along with NVSwitch which enables unprecedented bandwidth between processors. This talk will take an in depth look at the properties of this system along with programming techniques to take maximum advantage of the system architecture.

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Topics:
Performance Optimization, Programming Languages, Algorithms and Numerical Techniques
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9241
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Predictive Analytics for Retail
Presentation
Media
Abstract:
We'll explain how Brytlyt became the first vendor to use a GPU-Accelerated SQL database to run the TPC-H benchmark. TPC-H, a decision-support benchmark for a SQL database, consists of a suite of business-oriented ad-hoc queries using data with broad ...Read More
Abstract:
We'll explain how Brytlyt became the first vendor to use a GPU-Accelerated SQL database to run the TPC-H benchmark. TPC-H, a decision-support benchmark for a SQL database, consists of a suite of business-oriented ad-hoc queries using data with broad industry-wide relevance. We'll explain how it illustrates decision-support systems that examine large volumes of data, execute queries with a high degree of complexity, and give answers to critical business questions. We'll also discuss our Brytlyt GPU database and analytics platform, which is based on the open source PostgreSQL database.  Back
 
Topics:
Predictive Analytics for Retail, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9373
Streaming:
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