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NVIDIA’s new Turing GPU unleashed real-time ray-tracing in a consumer GPU for the first time. Since then, much virtual ink has been spilled discussing ray tracing in DirectX 12. However, many developers want to embrace a more open approach using Vulkan, the low-level API supported by the Khronos Group. Vulkan enables developers to target many different platforms, including Windows and Linux, allow
Video Series: Real-Time Ray Tracing for Interactive Global Illumination Workflows in Frostbite Real-time ray tracing is upon us. Electronic Arts leads the charge in integrating the technology on an engine level. This video series features Sebastien Hillaire, Senior Rendering Engineer at EA/Frostbite. Sebastian discusses real-time raytracing and global illumination (GI) workflows in Frostbite. He e
CUDA 10 Features Revealed: Turing, CUDA Graphs, and More For the last eleven years, NVIDIA’s CUDA development platform has unleashed the power of GPUs for general purpose processing in a wide variety of applications. These include: high performance computing (HPC), data center applications, and content creation workflows. Most recently, artificial intelligence systems and applications ranging from
NVIDIA Collective Communications Library (NCCL) provides optimized implementation of inter-GPU communication operations, such as allreduce and variants. Developers using deep learning frameworks can rely on NCCL’s highly optimized, MPI compatible and topology aware routines, to take full advantage of all available GPUs within and across multiple nodes. NCCL is optimized for high bandwidth and low
The Turing architecture introduces a new programmable geometric shading pipeline through the use of mesh shaders. The new shaders bring the compute programming model to the graphics pipeline as threads are used cooperatively to generate compact meshes (meshlets) directly on the chip for consumption by the rasterizer. Applications and games dealing with high-geometric complexity benefit from the fl
Fueled by the ongoing growth of the gaming market and its insatiable demand for better 3D graphics, NVIDIA® has evolved the GPU into the world’s leading parallel processing engine for many computationally-intensive applications. In addition to rendering highly realistic and immersive 3D games, NVIDIA GPUs also accelerate content creation workflows, high performance computing (HPC) and datacenter a
Upcoming Isaac ROS webinar: Need for Noetic speed - bringing NITROS to ROS Register Today! NVIDIA Isaac ROS Discover a faster, easier way to build high-performance solutions with the NVIDIA Isaac™ Robot Operating System (ROS) collection of hardware-accelerated packages. It includes multiple open-source options and is designed to give ROS developers a whole new way to build on NVIDIA hardware such
Ganglia is an open-source scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is carefully engineered to achieve very low per-node overheads and high concurrency. Ganglia is currently in use on thousands of clusters around the world and can scale to handle clusters with several thousand of nodes. Gmond Python module for GPUs If you are runni
Researchers from NVIDIA developed a deep learning-based system that can produce high-quality slow-motion videos from a 30-frame-per-second video, outperforming various state-of-the-art methods that aim to do the same. The researchers will present their work at the annual Computer Vision and Pattern Recognition (CVPR) conference in Salt Lake City, Utah this week. “There are many memorable moments
NVIDIA uses containers to develop, test, benchmark, and deploy deep learning (DL) frameworks and HPC applications. We wrote about building and deploying GPU containers at scale using NVIDIA-Docker roughly two years ago. Since then, NVIDIA-Docker has been downloaded close to 2 million times. A variety of customers used NVIDIA-Docker to containerize and run GPU accelerated workloads. NVIDIA offers
Researchers from NVIDIA, led by Stan Birchfield and Jonathan Tremblay, developed a first of its kind deep learning-based system that can teach a robot to complete a task by just observing the actions of a human. The method is designed to enhance communication between humans and robots and at the same time further research that will enable people to work alongside robots seamlessly. “For robots to
New AI Imaging Technique Reconstructs Photos with Realistic Results Researchers from NVIDIA, led by Guilin Liu, introduced a state-of-the-art deep learning method that can edit images or reconstruct a corrupted image, one that has holes or is missing pixels. The method can also be used to edit images by removing content and filling in the resulting holes. The method, which performs a process calle
“Ray tracing is the future, and it always will be!” has been the tongue-in-cheek phrase used by graphics developers for decades when asked whether real-time ray tracing will ever be feasible. Everyone seems to agree on the first part: ray tracing is the future. That’s because ray tracing is the only technology we know of that enables the rendering of truly photorealistic images. It’s no coincidenc
The NVIDIA RTX platform fuses ray tracing, deep learning and rasterization to fundamentally transform the creative process for content creators and developers through the NVIDIA Turing GPU architecture and support for industry leading tools and APIs. Applications built on the RTX platform bring the power of real-time photorealistic rendering and AI-enhanced graphics, video and image processing, to
NVIDIA JetPack SDK is the most comprehensive solution for building end-to-end accelerated AI applications. JetPack provides a full development environment for hardware-accelerated AI-at-the-edge development on Nvidia Jetson modules. JetPack includes Jetson Linux with bootloader, Linux kernel, Ubuntu desktop environment, and a complete set of libraries for acceleration of GPU computing, multimedia,
The Peak-Performance-Percentage Analysis Method for Optimizing Any GPU Workload Figuring out how to reduce the GPU frame time of a rendering application on PC is challenging for even the most experienced PC game developers. In this blog post, we describe a performance triage method we’ve been using internally at NVIDIA to let us figure out the main performance limiters of any given GPU workload (a
Just Announced—Run Jupyter Notebooks on Google Cloud with NGC's New One Click Deploy Feature. Read More AI and HPC Containers Develop and deploy applications faster with GPU-optimized containers from the NVIDIA NGC™ catalog. What Are Containers? A container is a portable unit of software that combines the application and all its dependencies into a single package that’s agnostic to the underlying
Figure 1. The Hybridizer Pipeline. Hybridizer is a compiler from Altimesh that lets you program GPUs and other accelerators from C# code or .NET Assembly. Using decorated symbols to express parallelism, Hybridizer generates source code or binaries optimized for multicore CPUs and GPUs. In this blog post we illustrate the CUDA target. Figure 1 shows the Hybridizer compilation pipeline. Using parall
Many of today’s applications process large volumes of data. While GPU architectures have very fast HBM or GDDR memory, they have limited capacity. Making the most of GPU performance requires the data to be as close to the GPU as possible. This is especially important for applications that iterate over the same data multiple times or have a high flops/byte ratio. Many real-world codes have to selec
High-Performance GPU Computing in the Julia Programming Language Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C. The language has been created with performance in mind, and combines careful language design with a sophisticated LLVM-based compiler [Bezanson et al. 2017]. Julia is already well regarded for programming multicor
A defining feature of the new NVIDIA Volta GPU architecture is Tensor Cores, which give the NVIDIA V100 accelerator a peak throughput that is 12x the 32-bit floating point throughput of the previous-generation NVIDIA P100. Tensor Cores enable you to use mixed-precision for higher throughput without sacrificing accuracy. Tensor Cores provide a huge boost to convolutions and matrix operations. They
One of my favorite things is getting to talk to people about GPU computing and Python. The productivity and interactivity of Python combined with the high performance of GPUs is a killer combination for many problems in science and engineering. There are several approaches to accelerating Python with GPUs, but the one I am most familiar with is Numba, a just-in-time compiler for Python functions.
BOARD FAMILY NVENC Generation Desktop/ Mobile # OF CHIPS Total # of NVENC Max # of concurrent sessions H.264 (AVCHD) YUV 4:2:0 H.264 (AVCHD) YUV 4:4:4 H.264 (AVCHD) Lossless H.265 (HEVC) 4K YUV 4:2:0 H.265 (HEVC) 4K YUV 4:4:4 H.265 (HEVC) 4K Lossless H.265 (HEVC) 8K HEVC 10-bit support HEVC B Frame support AV1
GPU Gems GPU Gems is now available, right here, online. You can purchase a beautifully printed version of this book, and others in the series, at a 30% discount courtesy of InformIT and Addison-Wesley. The CD content, including demos and content, is available on the web and for download. Chapter 1. Effective Water Simulation from Physical Models Mark Finch Cyan Worlds This chapter describes a syst
ORCA: Open Research Content Archive Note: This is a legacy SDK. Developers may download and continue to use, but it is no longer supported. ORCA is a library of professionally-created 3D assets donated to the research community. ORCA enables researchers to develop, test and discover new ideas using challenging, high-quality assets. With initial assets donated by Amazon Lumberyard, SpeedTree, NVIDI
Get to know Rense de Boer, a technical art director from Sweden, who is not only pushing the envelope of photo-real CGI environments, but he's doing it all in a...Get to know Rense de Boer, a technical art director from Sweden, who is not only pushing the envelope of photo-real CGI environments, but he’s doing it all in a real-time engine! Over the last few years de Bower has been focused on advan
NVIDIA NCCL The NVIDIA Collective Communication Library (NCCL) implements multi-GPU and multi-node communication primitives optimized for NVIDIA GPUs and Networking. NCCL provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter as well as point-to-point send and receive that are optimized to achieve high bandwidth and low latency over PCIe and NVLink high-speed interconn
Figure 1. Car approaching a vehicle in an intersection. You’ve probably seen headlines about innovation in automated driving now that there are several cars available on the market that have some level of self-driving capability. I often get questions from colleagues on how automated driving systems perceive their environment and make “human-like” decisions. The autonomous car in Figure 1 must loc
Get the latest SDK and tools designed for developers creating professional graphics, advanced rendering, video processing, material design, and 3D printing. We are excited to share a comprehensive update of our innovative and industry leading SDKs and tools for the DesignWorks GTC 2017 release. New SDK releases Video Codec SDK 8 GVDB Voxels 1.0 OptiX 4.1 Iray SDK 2017 MDL SDK 2017 Occlusion Cullin
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