NVIDIA has released the pdf slides and session video recordings from GTC 2015 at http://www.gputechconf.com/attend/sessions.
The sessions covered a diverse range of topics:
- Astronomy & Astrophysics
- Augmented & Virtual Reality
- Big Data Analytics
- Computational Physics
- Computer Vision
- Cloud Computing & HPC
- Developer – Algorithms
- Developer – Programming Languages
- Developer – Tools & Libraries
- Digital Manufacturing
- Education & Training
- Embedded Systems
- Energy Exploration
- Game Development
- Graphics Virtualization
- Life Science
- Machine Learning & Deep Learning
- Media & Entertainment
- Product Design & Styling
- Real-Time Graphics
- Signal & Audio Processing
- Video & Image Processing
- Visualization – Large Scale and Multi-Display
- Visualization – In-Situ and Scientific
- Web Acceleration
Following are selected talks in specific topic areas:
Accelerated Computing With hundreds of sessions in an array of computational research and computer science domains complimented by dozens of hands on developer labs and tutorials, GTC is the world’s most significant conference for accelerated computing. Discover how hundreds of your peers from around the world are accelerating discovery and insight with GPUs.
Automotive The Automotive Track is designed for automakers, suppliers, researchers, and developers leveraging visual computing–from styling and design, to engineering and simulation, to innovation inside the car. By attending these sessions, you’ll discover how GPU technology can help pave the way to safer and more enjoyable driving experiences, and ultimately the autonomous car.
Computer Vision The Computer Vision Track focuses on breakthroughs in GPU technology across robotics, intelligent video analytics, real-time image indexing and autonomous navigation. Attendees can choose from over 40 sessions led by renowned computer vision researchers and experts from both the tech industry and academia, as well as participate in hands-on labs and network with peers.
Deep Learning The Deep Learning Track focuses on state-of-the-art research powered by GPU technology for image classification, video analytics, speech recognition, and natural language processing. Attendees can choose from 45 live sessions given by academic and industry peers, participate in hands-on labs and tutorials using the most popular deep learning frameworks, fine tune GPU computing skills with labs and direct access to NVIDIA engineers.
Graphics Virtualization The Graphics Virtualization Track offers the knowledge and tools you need to deliver graphics-accelerated virtual desktops and applications. As an attendee, you will have the opportunity to learn from leaders in the industry, get hands on experience with the NVIDIA GRID virtualization solution, network with peers, and NVIDIA technical experts.
Manufacturing The Manufacturing Track is designed for Designers & Engineering Workgroup Managers virtually prototyping products using the latest 3D design, visualization and simulation tools in order to speed up their workflow. By attending the Track, you’ll discover a broad perspective of all the latest design techniques and tools available.
Media and Entertainment The Media and Entertainment Track is designed for Visual Effects Artists & Independent Creatives creating video, animations, 3D, and motion graphics content. By attending the Track, you’ll discover how GPU technology helps speed production times and helps produce state-of-the-art effects.