Connect with
the Experts

Meet NVIDIA Experts Face to Face

Connect with the Experts is a series of 60-minute Q&A sessions at GTC where attendees can drop into scheduled "office hours" with NVIDIA engineers and researchers to get questions answered on specific topics.

I love being able to meet the people behind the products that I use. Thanks for being friendly and open to questions.

- GTC 2019 Connect with the Experts attendee

 

See GTC 2020 Connect with the Experts options below. Our NVIDIA experts will provide “best practices” and “how to” answers to your technical questions.

AUTONOMOUS VEHICLES

  • CWE21167
    AI enabled intelligent Robotics with Isaac SDK and Isaac Sim
    Christoph Fritsch, Director Solution Architecture
    Swapnesh Wani, Solutions Architect
    Teresa Conceicao, Solutions Architect | Robotics Engineer
    Other

       
    •  
       
      The NVIDIA Isaac Software Development Kit (SDK) is a developer toolbox for accelerating the development and deployment of AI-powered robots. It includes a unique and powerful simulation platform—Isaac Sim—for developing, training, and testing AI-enabled perception and navigation skills in next-generation robots. The SDK accelerates robot development for manufacturers, researchers, and startups by making it easier to add Artificial Intelligence (AI) for perception and navigation. If you want to understand more about Isaac's capabilities or have questions, then join us to connect with our experts!
  •  
  • CWE21186
    Automotive / Transportation

       
    •  
       
      The NVIDIA DRIVE IX intelligent experience software stack enhances the driver's situational awareness, assists in driving functions, and provides natural language interactions between the vehicle and its occupants. Learn how to create a safer, AI-powered cockpit experience in this hour-long Q&A session.
  •  
  • CWE21194
    Automotive / Transportation

       
    •  
       
      NVIDIA DRIVE Perception enables robust perception of obstacles, paths, and wait conditions. Together with DRIVE Networks, it forms an end-to-end perception pipeline for autonomous driving. In this hour-long Q&A session, hear how DRIVE Perception makes it possible for developers to innovate mapping and/or planning, control, and actuation in autonomous vehicle development.
  •  
  • CWE21185
    Using CUDA and TensorRT on NVIDIA DRIVE AGX
    Jared Conway, Senior Product Manager, Enterprise, Edge, and Cloud, NVIDIA
    Automotive / Transportation

       
    •  
       
      Autonomous vehicles need fast, accurate perception to perform safely. Connect with the foremost experts on how to accelerate massive computation workloads in parallel using NVIDIA CUDA software and optimize DNN inference using NVIDIA TensorRT on DRIVE AGX.
  •  
  • CWE21184
    Automotive / Transportation

       
    •  
       
      In this hour-long Q&A session, learn how to leverage the DRIVE Core layer in the NVIDIA DRIVE Software stack for efficient autonomous vehicle development. Part of the DriveWorks SDK, DRIVE Core is modular, open, and readily customizable, enabling functionalities such as bringing up sensors, capturing data, and accelerating neural network inference for AV perception.

COMPUTER VISION / INTELLIGENT VIDEO ANALYTICS / VIDEO & IMAGE PROCESSING

  • CWE21120
    Media & Entertainment

       
    •  
       
      NVIDIA GPUs starting with the NVIDIA Turing generation feature an optical flow hardware accelerator that enhances several applications, including AI/DL, object tracking, video frame interpolation, and and video analytics. The optical flow functionality is available for software developers using NVIDIA's optical flow SDK.
  •  
     
  • CWE21102
    Transfer Learning Toolkit
    Farzin Aghdasi, Sr. SW Manager - Deep Learning for IVA
    All Industries

       
    •  
       

      The NVIDIA Transfer Learning Toolkit is ideal for deep learning application developers and data scientists seeking a faster, more efficient deep learning training workflow for Intelligent Video Analytics (IVA). Transfer Learning Toolkit abstracts and accelerates deep learning training by allowing developers to fine-tune NVIDIA-provided, pre-trained models that are domain specific instead of going through the time-consuming process of building Deep Neural Networks (DNNs) from scratch. The pre-trained models accelerate the developer's deep learning training process and eliminate the higher costs associated with large-scale data collection, labeling, and training models from scratch. We'll show how to train, prune, and optimize popular models and create TRT engines.

  •  

DATA CENTER / CLOUD INFRASTRUCTURE HARDWARE & SOFTWARE

DEEP LEARNING INFERENCE - OPTIMIZATION AND DEPLOYMENT

  • CWE21166
    Workstation Inference with TensorRT, cuDNN and WinML
    Chris Hebert, Senior DevTech Engineer
    Don Brittain, Principal Engineer
    Sven Middelberg, Senior Developer Technology Engineer
    Chris Alvarez-Russell, Senior Developer Technologies Engineer (Deep Learning)
    Software

       
    •  
       

      Join us to learn more about the constraints related to deployment of AI inference models on Windows workstations using a local GPU. Our experts are highly experienced with moving AI Inference models from research to production environments and are happy to share these experiences, tools, and techniques with you, including topics such as:

      - Moving from research to production
      - Minimizing device memory usage
      - Performance optimization
      - Integration with existing code bases

  •  

DEEP LEARNING TRAINING AT SCALE

  • CWE21282
    Deep Learning Profiling Technologies
    Poonam Chitale, Senior Product Manager
    David Zier, Engineer, ASIC
    All Industries

       
    •  
       

      In this session, we'll provide guidance to data scientists and deep learning researchers who are trying to optimize their networks to take advantage of the high performance that GPUs have to offer. NVIDIA has been working on profiling tools and technologies that make profiling part of the workflow. To construct high-quality models that train faster, you can profile them and understand which operations are taking up the most time and which iterations contribute to maximum utilization of tensor cores, then get recommendations on where performance can be improved. There are several technologies and they vary in the output reports they provide, as well as the visualization provided. Talk to experts to understand which tools to use when.

  •  

DESIGN & ENGINEERING

  • CWE21283
    Studio Workflows with Omniverse: From Virtual Production to Shipping Titles
    Omer Shapira, Engineer, Artist
    Damien Fagnou, Senior Director, Software
    Kevin Margo, Creative Director, NVIDIA
    Media & Entertainment

       
    •  
       

      NVIDIA's Omniverse ecosystem opens vast possibilities for collaboration inside and between studios. To take advantage of collaboration-by-default and no boundaries between "Production" and "Release", studios may need to update their workflows.This session brings together experts who have shipped games, films, and high-performance applications with components of Omniverse. We'll discuss moving your tools pipeline to the cloud, virtual production, and migrating game and film data into Omniverse. We'll also answer questions about available Omniverse tools.

  •  

FRAMEWORKS (DL AND NON - DL) / LIBRARIES / RUNTIMES

  • CWE21216
    NVIDIA Math Libraries
    Harun Bayraktar, Manager, CUDA Math Libraries
    All Industries

       
    •  
       
      Come meet the engineers that create the NVIDIA Math Libraries to get answers to your questions, give your feedback on existing functionality, or request new functionality. We'll have engineers from linear algebra libraries: cuBLAS, cuSOLVER, cuSPARSE, cuTENSOR; and signal and image processing libraries: cuFFT, NPP and nvJPEG. They'll be happy to talk to you about single and multi-GPU libraries, as well as the new device libraries.
  •  
     
  • CWE21218
    All Industries

       
    •  
       

      NVIDIA GPUs and math libraries offer a continuously expanding array of tensor core-accelerated, mixed-precision linear algebra functionality. Come ask our library engineers questions that can help you get the most out of this technology in your applications.

  •  

GRAPHICS - PRODUCTION RENDERING / RAY TRACING

HPC & AI

  • CWE21106
    RTcore for Compute
    Vishal Mehta, Developer Technology
    All Industries

       
    •  
       

      Learn about recent advances in the RTcore architecture, how to exploit RTcore using Optix for general-purpose compute, and algorithmic patterns that can be accelerated using RTcore. NVIDIA's recent development in RTcore has dramatically impacted graphics applications using ray tracing. There are many other applications that have similar computation patterns and can be accelerated using RTcore and the RTX software stack. This session is geared towards understanding how to harness the RTX capabilities of GPUs for applications in HPC and machine learning.

  •  

IOT / 5G / EDGE COMPUTING

  • CWE21130
    Securely deploying AI to the Edge (EGX)
    Sanford Russell, Sr Dir Product Marketing, EGX and Enterprise Servers
    All Industries

       
    •  
       

      AI is now being deployed outside the data center and cloud to the edge of enterprises (factories, stores, hospitals, and cities). Learn from NVIDIA experts on how to design trusted edge architectures and software deployment strategies to securely deploy AI work to your enterprise's remote (edge) locations. Security with containers and Kubernetes, as well as control plane designs, will be covered in these sessions.

  •  

PERFORMANCE OPTIMIZATION & PROFILING

  • CWE21312
    CUDA Kernel Performance Optimizations Q&A
    Markus Tavenrath, Senior Engineer Developer Technology
    All Industries

       
    •  
       

      Have you already optimized your CUDA kernel as much as possible? Do you still think your kernel could run faster, but you are out of ideas? Visit this session to discuss CUDA kernel performance pitfalls and low level optimizations which could help you getting even more performance on the system.

  •  

PROGRAMMING LANGUAGES, COMPILERS & TOOLS

  • CWE21284
    Future of ISO and CUDA C++
    Bryce Adelstein Lelbach, CUDA C++ Core Libraries Lead
    Olivier Giroux, Distinguished Architect
    David Olsen, Senior Software Engineer
    All Industries

       
    •  
       
      Curious about the future of C++? Interested in learning about the C++ committee's roadmap for safety critical, concurrent, parallel, and heterogeneous programming?
      Come join Olivier Giroux (chair of the C++ committee's Concurrency and Parallelism group), Bryce Adelstein Lelbach (chair of the C++ committee's Library Evolution Incubator and Tooling groups), and the rest of NVIDIA's ISO C++ committee delegation for a Q&A session about the future of the C++ programming language.
  •  
  • CWE21285
    Thrust, CUB, and libcu++ Users Forum
    Bryce Adelstein Lelbach, CUDA C++ Core Libraries Lead
    Michal Dominiak, Software Engineer
    All Industries

       
    •  
       
      Come join NVIDIA's CUDA C++ Core Libraries team for a Q&A session on:
      - Thrust—CUDA C++'s high-productivity general-purpose library and parallel algorithms implementation
      - CUB—CUDA C++'s high-performance collective algorithm toolkit
      - libcu++—the CUDA C++ standard library (introduced in CUDA 10.2)
      Usage questions, feature requests, and bug reports are most welcome!
  •  
  • CWE21103
    Multi-GPU Programming
    Jiri Kraus, Senior Developer Technology Engineer
    Akshay Venkatesh, Senior Software Engineer
    All Industries

       
    •  
       
      Wondering how to scale your code to multiple GPUs in a node or cluster? Need to discuss NVIDIA CUDA-aware MPI details? This is the right session for you to ask your beginner or expert questions on multi-GPU programming, GPUDirect, NVSHMEM, and MPI. Connect with the Experts offers a range of informal sessions where you can ask experts from NVIDIA and other organizations your burning questions about a specific subject.
  •  
  • CWE21165
    CUDA and Ray Tracing Developer Tools
    Sebastien Domine, VP. SW Engineering Developer Tools
    All Industries

       
    •  
       

      With the advances in accelerated GPU computing and rendering comes new development challenges. The new NVIDIA Nsight developer tools portfolio enables developers to embrace new CUDA features like CUDA graphs and accelerated ray tracing rendering with NVIDIA OptiX, DX12/DXR, or Vulkan Raytracing. Stop by to talk to the developer tools engineering team to learn more about how Nsight tools can help you. Share your wish list or challenges so we can shape the future of our tools accordingly.

  •  

VIRTUAL REALITY / AUGMENTED REALITY

  • CWE21225
    Rich and Immersive VR for HPC simulations
    Ian Williams, Enterprise Products
    Arun Sabnis, Senior Product Manager
    Niveditha Krishnamoorthy, Alliance Manager CAE
    All Industries

       
    •  
       
      Learn how you can create amazing virtual reality experiences from your simulations and gain useful insights that can help you make better design decisions. Connect with NVIDIA engineers to get answers to all your questions and see how VR is a true value-add to your professional workflow.
  •  
  • CWE21198
    ProVR: Discuss Vulkan and OpenGL using Quadro GPUs
    Ingo Esser, Sr. Developer Technology Engineer
    Robert Menzel, Sr. Developer Technology Engineer
    All Industries

       
    •  
       
      Discuss anything ProVR, including but not limited to topics we presented in our talk "ProVR: Vulkan and OpenGL using Quadro GPUs". If you have any questions about professional VR, solutions for solving issues, or feedback about our VR solutions (Vulkan, OpenGL, OpenXR, etc.), you're in the right place.
  •  
  • CWE21210
    All Industries

       
    •  
       

      Learn how you can create amazing virtual reality experiences from your simulations and gain useful insights that can help you make better design decisions. Connect with NVIDIA engineers to get answers to all your questions and see how VR is a true value-add to your professional workflow.

  •