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GTC On-Demand

Presentation
Media
Abstract:
GPUs are powering us into the future. Through research, we will be able to see where this technology takes us next. This session serves as a catalyst for the advancement of an array of innovations that come from universities, research labs, and industry. Join us in hearing how this year’s Top 5 Poster finalists were inspired to start their research, what surprised them, and where they want to see it go next.
 
GPUs are powering us into the future. Through research, we will be able to see where this technology takes us next. This session serves as a catalyst for the advancement of an array of innovations that come from universities, research labs, and industry. Join us in hearing how this year’s Top 5 Poster finalists were inspired to start their research, what surprised them, and where they want to see it go next.
 
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Topics:
AI and DL Research
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S91036
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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 and DL Research, Virtual Reality and Augmented Reality, Graphics and AI, Computational Biology and Chemistry, Computer Vision
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9976
Streaming:
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Abstract:

This session describes the design and implementation of ISAAC, an open-source framework for GEMM and CONV that provides improved performance over cuBLAS and cuDNN. Attendees will learn about input-aware auto-tuning, a technique that relies on machine learning models to automatically derive input- and hardware- portable PTX kernels. Benchmarks will be provided for GEMM and CONV in the context of LINPACK, DeepBench, ICA and SVD, showing up to 3x performance gains over vendor libraries on a GTX980 and a Tesla P100.

This session describes the design and implementation of ISAAC, an open-source framework for GEMM and CONV that provides improved performance over cuBLAS and cuDNN. Attendees will learn about input-aware auto-tuning, a technique that relies on machine learning models to automatically derive input- and hardware- portable PTX kernels. Benchmarks will be provided for GEMM and CONV in the context of LINPACK, DeepBench, ICA and SVD, showing up to 3x performance gains over vendor libraries on a GTX980 and a Tesla P100.

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Topics:
Performance Optimization, Deep Learning and AI, Tools and Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7150
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