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GTC On-Demand

Data Center and Cloud Computing
Presentation
Media
Benchmarking the New Unified Memory of CUDA 8
Yifan Sun (Dell EMC), Frank Zhao (Dell EMC)
We'll evaluate CUDA 8's new unified memory's impact to applications with benchmarks and share practices on how to tune or build high-performance apps. Since CUDA 6, unified memory has aimed at simplifying the programmability of heterogeneous memor ...Read More
We'll evaluate CUDA 8's new unified memory's impact to applications with benchmarks and share practices on how to tune or build high-performance apps. Since CUDA 6, unified memory has aimed at simplifying the programmability of heterogeneous memory management while maintaining good performance. However, practical limitations prevent applications from fully taking advantage of it. The CUDA 8 release highlights an updated unified memory that both simplifies programmability and improves performance, especially when married with the new Pascal GPU architecture. We'll evaluate the new system, benchmark its performance, and share our best practices in tuning code, which could be good reference for app developers. In addition, we'll explore options and solutions on moving/exchanging data efficiently between heterogeneous devices, such as NVMe/NVRAM in modern data center or cloud environments.  Back
 
Keywords:
Data Center and Cloud Computing, GTC 2017 - ID S7362
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Developer - Tools & Libraries
Presentation
Media
New Developer Tools Features in CUDA 8.0
Sanjiv Satoor (NVIDIA)
This talk will provide an overview of new debugging and profiling features added in the CUDA 8.0 Toolkit. ...Read More

This talk will provide an overview of new debugging and profiling features added in the CUDA 8.0 Toolkit.

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Developer - Tools & Libraries, HPC and Supercomputing, Supercomputing 2016 - ID SC6115
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CUDA 8 Features Overview Webinar
Milind Kukanur (NVIDIA)
The new CUDA Toolkit 8 includes support for Pascal GPUs, up to 2TB of Unified Memory and new automated critical path analysis for effortless performance optimization. This is the most powerful and easy version of the CUDA Toolkit to date. ...Read More

The new CUDA Toolkit 8 includes support for Pascal GPUs, up to 2TB of Unified Memory and new automated critical path analysis for effortless performance optimization. This is the most powerful and easy version of the CUDA Toolkit to date.

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Keywords:
Developer - Tools & Libraries, GTC Webinars 2016 - ID GTCE125
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HPC and Supercomputing
Presentation
Media
Towards conceptual shift in scientific computation facing the era of parallel architectures
Vladimir Baulin (Universitat Rovira i Virgili)
Pascal architecture and CUDA 8 are particularly efficient for deep learning, neural networks and optimization problems. How can we bring these evolution-like approaches to scientific methods to take full advantage of new GPU architectures? Accor ...Read More

Pascal architecture and CUDA 8 are particularly efficient for deep learning, neural networks and optimization problems. How can we bring these evolution-like approaches to scientific methods to take full advantage of new GPU architectures? According to Darwin, evolution requires long timescales, while massive parallelization can solve the problem of time. We show how parallel by design scientific methods speed up significantly "in-silico evolution" and present two examples: (i) A parallel version of the Single Chain Mean Field theory, which performs a massively parallel evolution of chain-like molecules by chemical sequence search. (ii) A parallel version of the Bond Fluctuation Model lets us dive into the physics of self-assembly found in living cells on the level of a cellular automaton. 

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Keywords:
HPC and Supercomputing, Computational Chemistry, Computational Biology, Computational Physics, GTC Europe 2016 - ID SEU6143
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Programming Languages
Presentation
Media
Featured Presentation: CUDA 8 and Beyond
Mark Harris (NVIDIA)
CUDA is NVIDIA's parallel computing platform and programming model. In this talk you'll learn about new features and performance improvements in CUDA 8. In this talk you'll hear about features and get insight into the philosophy driving the ...Read More
CUDA is NVIDIA's parallel computing platform and programming model. In this talk you'll learn about new features and performance improvements in CUDA 8. In this talk you'll hear about features and get insight into the philosophy driving the development of CUDA and how it will take advantage of current and future GPUs. You will learn about NVIDIA's vision for CUDA and the challenges for the future of parallel software development.  Back
 
Keywords:
Programming Languages, Tools and Libraries, HPC and Supercomputing, GTC 2016 - ID S6224
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Tools and Libraries
Presentation
Media
CUDA? Debugging Tools in CUDA 8
Vyas Venkataraman (NVIDIA), Kudbudeen Jalaludeen (NVIDIA)
This talk will describe new features in debugging tools in the CUDA 8.0 toolkit. ...Read More
This talk will describe new features in debugging tools in the CUDA 8.0 toolkit.  Back
 
Keywords:
Tools and Libraries, GTC 2016 - ID S6531
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