MOBILE EMBEDDED
THE LEADER IN VISUAL COMPUTING 2
TAKING OUR VISION TO REALITY HPC DESIGN and VISUALIZATION AUTO GAMING 3
BEST DEVELOPER EXPERIENCE Tools for Fast Development Debug and Performance Tuning NVIDIA EMBEDDED BEST PERFORMANCE AND FUNCTIONALITY Ground-breaking Efficiency Combined With Complete I/O Support BEST DRIVERS AND LIBRARIES Rich Driver and API Support for Optimal Use of the Hardware 4
BEST DEVELOPER EXPERIENCE EFFICIENT DEVELOPMENT IMMEDIATE PRODUCTIVITY READY-TO-USE PLATFORM Complete IDE, Debugger, and Profiler gets you to production in record time Jetson TK1 Developer Kit is fully functional out-of-the-box Jetson JetPack fully configures your development environment in minutes 5
TEGRA K1 Impossibly Advanced NVIDIA Kepler Architecture 4-Plus-1 Quad-core A15 192 NVIDIA CUDA Cores Over 300 GFLOPS 5 Watts 6
TEGRA K1 OVERVIEW CPU Quad Core Cortex A15 With 5th Battery-Saver Core; 2MB L2 cache GRAPHICS Kepler GPU (Open GL 4.3, OpenGL ES3.0) 192 CUDA cores, 10x AP30 performance GEFORCE Companion Core CAMERA Dual ISP3 100MP sensor support, 3x CSI-2 (x4, x4, x1) MEMORY Dual Channel Memory DDR3L-1866 VIDEO 2160p30 Decode and Encode Supports H.264 and VP codecs Super Speed IMAGING ARM7 2160p30 VIDEO ENCODER 2160p30 VIDEO DECODER AUDIO POWER DISPLAY Lower Power 28HPM Process, Companion Core, PRISM2 4096x2160 @24Hz (HDMI) High Speed HDMI 1.4a, edp, DSI USB 3.0 SECURITY ENGINE HDMI Dual DISPLAY UART SECURITY Advanced HW-accelerated Security HDCP, Secure Boot, DRM MIPI DSI/CSI/ HSI E,MMC 4.5 DDR3L LPDDR2 LPDDR3 SPI SDIO I 2 S I 2 C STORAGE I/O emmc 4.5 200MB/s (HS200 mode) Rich Embedded Interfaces e.mmc 4.5, USB 3.0, USB 2.0, SDIO 3.0 7
NVIDIA KEPLER A New Era in Embedded Graphics KEPLER TODAY YESTERDAY Transform & Lighting Programmable Shaders OGL4.4 CUDA Tesselation Displacement Mapping Bandwidth Compression Power Efficiency TXAA 8
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TEGRA K1 Unlocking New Applications Computer Vision Robotics Surveillance Medicine Defense 10
JETSON The Platform 11
MEET THE JETSON EMBEDDED PLATFORM NVIDIA Jetson is the world s leading embedded computer vision platform, introducing GPU-accelerated parallel processing to the mobile market. Raw performance beyond 325 GFLOPS and a sub-10w power budget make Jetson the leading solution for compute-intensive embedded projects like autonomous robotic systems, Advanced Driver Assistance Systems (ADAS), mobile medical imaging, and Intelligent Video Analytics (IVA). 12
JETSON TK1 DEVELOPER KIT SOC GRAPHICS MEMORY USB PCIE NETWORKING DISPLAY STORAGE AUDIO EXPANSION Tegra K1 Quad Core Cortex A15 With 5 th Battery-Saver Core; 2MB L2 cache Kepler GPU (Open GL 4.3, OpenGL ES3.0) 192 CUDA cores, 327 GFLOPs Dual Channel Memory 2 GB DDR3L-1866 Super Speed 1x USB 3.0 + 1x USB 2.0 PCIE Generation 2 1x half-mini PCIe slot Gigabit Ethernet 10/100/1000M via RTL8111GS Up to 1080p@120Hz Native High Speed HDMI 1.4a On Board e.mmc 16 GB ALC5639 Audio Codec Headphone Out, MIC In Rich Embedded Interfaces DP, SPI, I2C, CSI-2 (1x1 + 1x4) Having the level of performance and energy efficiency Jetson TK1 offers can potentially support the development of robots with real-time object recognition and compelling autonomous navigation capabilities Chris Jones, Director of Strategic Technology Development 13
JETSON JETPACK 1.0 For Linux Ubuntu 14.04 GET STARTED in minutes INSTALLS Linux-based ARM tool chain INSTALLS CUDA Toolkit on host Linux system FLASHES Jetson TK1 DevKit with latest OS Image Configures and pushes CUDA to Jetson TK1 INSTALLS VisionWorks, nvmedia, OpenVX, BlendOCV, CPU & CUDA DEBUGGING with Nsight Eclipse Edition CUDA PROFILING with Visual Profiler REFERENCE documentation and samples COMPILES code samples, pushes them to Jetson TK1 And RUNS one sample 14
JETPACK FEATURES JETPACK 1.0 BETA JETPACK 1.0 OS Image Pull Tegra System Profiler 2.2 CUDA Toolkit 6.5: Nsight Eclipse Edition, Visual Profiler OpenCV Tegra Graphics Debugger 1.2 PerfKit GStreamer OpenVX Tegra System Profiler 2.1 PerfKit OpenGL SDK Samples 15
CUDA 6.5 FEATURES FEATURES Unified Memory Drop-in BLAS Multi-GPU Libraries cufft Callbacks Math Library Optimization GPU Direct RDMA CUDA Fortran Tools Support IDE Support for Remote Development 16
Partner Examples 17
GTC 2014 18
VERSION 2.0 19
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Start Development Immediately NVIDIA EMBEDDED COMPUTING Leverage the Best Drivers and APIs Rapid Path to Production 21
THANK YOU Eddie Seymour European Technical Director eseymour@nvidia.com