Gtc2013 recap

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  • 1. Innovation ollaboration spiration GPUTechnology Conference

2. 2006 2007 2008 2009 2010 2011 2012 40 35 30 25 20 15 10 5 NVIDIA Acceleration 31 petaFLOPS Total Acceleration 37 petaFLOPS GPUAccelerated computinghas become an important catalyst in the advancement of science and technologyenabling tremendous breakthroughs by simply enabling us to do more, faster. The need to solve complex computational problems is becoming increasingly commonplace. And GPU-powered accelerated computing is meeting this need by delivering an order of magnitude more performance, more efficiently. Accelerator Performance in Supercomputing Performance delivered by GPUs in supercomputers has increased from 0 to 19% in five years and is growing exponentially. Source: Top500.org. 3. Developing with GPUs is now pervasive in computing: 430,000,000+CUDA GPUs have been shipped 35,000+papers have been published on CUDA 8,000+institutions haveregistered CUDA developers 580+universities are teaching GPUprogramming 200+major applications are now GPU accelerated 50+of the worlds fastest supercomputers are powered by CUDA GPUs The benefits of GPUaccelerated computing are more widely recognized every day. This is leading to more industry leaders and members of the research community to adopt both NVIDIA GPUs and CUDA , theworlds most pervasive parallelcomputing platform and programming model. Thats more than two shipped every second! 4. Driven by the broad use of NVIDIA visual computing technology, the GPU Technology Conference (GTC) has become the worlds most important event for GPU developers. GTCis where art meets sciencemeets engineering meets business. 5. Air Force Research Lab Barcelona Supercomputing Center BGI Carnegie Mellon Chinese Academy of Sciences CERN ETRI Korea Expressions College for Digital Arts Fermi National Accelerator Lab Georgia Tech Harvard IIT Italy JPL Johns Hopkins Julich Supercomputing Center KAUST Los Alamos National Lab MIT Lincoln Lab NASA NATO Naval Air Warfare Center NOAA Oak Ridge National Lab Russian Academy of Sciences Sandia National Lab Stanford Swiss Supercomputing Center Tokyo Tech Audi Amazon Apple Bank of America BMW Boeing Carl Zeiss Chevron Chrysler Deutsche Telecom ESPN E*Trade Exxon Mobile Fiat Ford Google Goldman Sachs Gulfstream Aerospace Harley Davidson Honda Research iRobot LEGO NASDAQ Netflix Nike Pixar Space-X Tesla Motors Walt Disney Academic and Research Industry Every year, GTC provides an important venue for exploring the game- changing impact GPUs deliver to science, technology, and industry. And the 2013 event was one of the most impressive ever. The fourday conference featured talks by industry and NVIDIA experts on GPU-accelerated computingfrom problem solving in everything from medicine to product design and big data, to hands-on sessions on how to take advantage of this disruptive technology. More than 3,000Attendees from over 50countries 425Conference Sessions 150Research Posters Heres a sampling of organizations that attended GTC 2013: 6. GPUs are already finding their way into systems and applications that were undreamed of a decade ago. Soon, mobile, desktop, and supercomputer technologies will intersect in powerful and surprising ways. Accelerating TheFuture 7. GTC 2013 also featured the unveiling of several technologies that will impact the future of computing. This included the introduction of the NVIDIAGRID VCA, the industrys first Visual Computing Appliance. The GRID VCA enables businesses to deliver ultra- fast GPU performance to any Windows, Linux, or Mac client device on their network while providing the same rich graphic user experience as a dedicated desktop PC or workstation. GRID VCA provides a workstation-quality experience on any PC, Mac, or Linux device and runs applications for power users such as those from Adobe, Autodesk, and Dassault Systems. It is a turnkey appliance that is easy to install and manage. 8. At GTC 2013, NVIDIA unveiled its GPU architecture roadmap, demonstrating that NVIDIA continues to focus on dramatically improving performance while also improving energy efficiency. Today, its Kepler architecture is at the heart of the fastest, most energy-efficient accelerators, including those that power the worlds fastest supercomputer for open science. The next-generation Maxwell architecture will deliver unified virtual memory, increasing the performance and shortening development time for application developers. The Volta architecture will follow, which is designed to solve one of the biggest challenges of computing todaymemory bandwidth. 2008 2010 2012 2014 Tesla CUDA Fermi Full Double Precision Kepler Dynamic Parallelism Maxwell Unified Virtual Memory Volta Stacked DRAM 32 16 8 4 2 1 0.5 DoublePrecisionGigaFLOPSperWatt The next-generation Maxwell architecture will deliver unified virtual memory, followed by the Volta architecture thats designed to achieve 1 TB/sec of memory bandwidth, equivalent to transferring the entire contents of a Blue-ray DVD in 1/50th of a second. 9. 2011 2012 2013 2014 2015 100 10 1 RelativePerformance Tegra 2 First Dual A9 Tegra 3 First Quad A9 First PowerSaver Core Tegra 4 First LTE SDR Modem Computational Camera Logan Kepler-Based GPU CUDA OpenGL 4.3 Parker Denver-Based CPU Maxwell-Based GPU FinFET The NVIDIA Tegra Mobile processor roadmap was also unveiled at the conference. It demonstrated that NVIDIAs investment in computing is everywherenot just in PCs and datacenters, but also in cars, phones, tablets, gaming portables, and anything with a display. For example, Tegra 4 leverages the CPU, GPU, and ISP to deliver advanced computational photography features like real-time HDR and intelligent object tracking. Tegra 4 will be followed by Project Logan, which pairs ARM -based mobile processor cores with our Kepler GPUs. This will be followed by Project Parker, which will join the new 64bit, ARM-compatible CPU cores with our next-generation Maxwell GPU architecture. Tegra 4 will be followed by Logan, bringing technologies currently found in highperformance PCs and workstations to mobile devices. With Parker, a serverclass CPU will be combined with our Maxwell GPUs unified virtual memory and advanced performance per watt. 10. To address the industrys requirement for developing applications for low-power architectures, NVIDIA also introduced the Kaylaplatform the ARM development platform for mobile computing and HPC applications. Its designed to deliver the highest performance and efficiency for the widest range of next- generation ARM-based OpenGL and CUDA applications by combining a Tegra quad-core ARM processor with a Kepler-based GPU. This gives developers a great way to take advantage of the next-gen Tegra SoCs based on the Logan architecture. Real-time ray tracing, FFTbased ocean simulation, and smoke-particle simulation on the Kayla platform. 11. Accelerating Industry >> safer and smarter automobiles >> medical applications, including 4D heart ultrasound that can potentially save lives >> cinema and special effects >> geospatial intelligence made possible by video and image processing >> digital product design across various industries >> big data analytics applied to every day uses Taking center stage at the conference were breakthroughs in various fieldsfrom science to a wide range of industriesspurred on by accelerated computing. GTC 2013 showcased a number of industry-changing discoveries made possible by GPUs. These included: 12. Imaging capabilities in broadcast media have progressed by leaps and bounds over the last few decades, especially in sports broadcasting. This provides todays sports fans with a far more intimate and entertaining experience in the games they love. The ESPN Emerging Technology Group is behind many of these technology breakthroughs. Based on an idea from a prior GTC, ESPN developed a software architecture for sports broadcasts using NVIDIA GPUs. Today ESPN is using GPUs to convert 4K video input for spectacular lossless zoom to 720p for sports broadcasts. Virtual cameras, real-time overlay effects, and other features deliver a closer, enhanced experience of sports broadcasts to viewers. Harley-Davidson has been designing and manufacturing motorcycles for more than a century. Today, they still produce vehicles that are coveted by one of the most loyal customer bases in the world. In recent years, the design process has evolved to include digital visualization tools during the conceptual phase, between styling and engineering. GPU- accelerated industrial design integrates art with modeling and simulation, ultimately reducing time for product development, improving styling intent, allowing greater conceptual exploration, and delivering higher-quality designs earlier. Bringing Fans Closer totheGame ESPN Melding Art and Simulation in Industrial Design Harley-Davidson Motor Company 13. GTC 2013 featured presenters from Audi, BMW, Chrysler, Fiat, Honda, and Peugeot Citroen sharing breakthroughs in how GPUs are increasingly playing a central role in auto safety and infotainment systems, as well as breakthroughs in design. Researchers from Audi revealed how GPUs are used as part of an initiative to make driving safer in urban areas. Highly intelligent, powerefficient systems in cars will soon suggest when to leave for your daily commute, whether or not to stop for coffee, even where to find best parking choices, all based on realtime information. Its all about communicating with the driver in an intuitive, nondistracting way. Navigating Chaotic Roadways More Safely Audi Better Safety and Infotainment in Cars GPUs are increasingly playing a central role in auto safety and infotainment systems. Companies including Audi and Lamborghini have already adopted NVIDIA technology, and it will soon power models from BMW, Tesla Motors, Mini, and Rolls Royce, among others. For instance, researchers from Audi revealed