Case Study

My Experiences at IDF 2015 as a Black Belt Developer: 3-D Printing

Another set of booths and activities that I found engaging were those that concerned 3-D printing. I do not own nor have I used a 3-D printer, though I did sit through a 90 min class at the HacKid Conference with my daughter a couple of years ago. That 3-D printer was a small home hobbyist printer and the lab reeked with several less than healthy chemical smells including acetone. Nevertheless, my daughter asked for one for Christmas (which we did not get her) along with a Raspberry Pi (which we did).

Single-Root Input/Output Virtualization (SR-IOV) with Linux* Containers

This paper is a result of a joint CERN openlab-Intel research activity with the aim to investigate whether Linux Containers can be used together with SR-IOV in conjunction and complementary to the existing virtualization infrastructure in the CERN Data Centre. This solution could be potentially applied to the storage nodes, which are principally used for Input/Output operations, while keeping the CPU mostly idle. CERN could benefit from LXC/SR-IOV by running both CPU-intensive and storage jobs in containers on one storage node, with full separation of both applications and control over consumed resources.
  • Linux*
  • Networking
  • Server
  • Modern Code
  • Intermediate
  • CERN
  • CERN Openlab
  • PCIe
  • HPC
  • Linux Containers
  • Cluster Computing
  • Data Center
  • Parallel Computing
  • Virtualization
  • 采用 Linux* Containers 的单根输入/输出虚拟化 (SR-IOV)

    This paper is a result of a joint CERN openlab-Intel research activity with the aim to investigate whether Linux Containers can be used together with SR-IOV in conjunction and complementary to the existing virtualization infrastructure in the CERN Data Centre. This solution could be potentially applied to the storage nodes, which are principally used for Input/Output operations, while keeping the CPU mostly idle. CERN could benefit from LXC/SR-IOV by running both CPU-intensive and storage jobs in containers on one storage node, with full separation of both applications and control over consumed resources.
  • Linux*
  • Networking
  • Server
  • Modern Code
  • Intermediate
  • CERN
  • CERN Openlab
  • PCIe
  • HPC
  • Linux Containers
  • Cluster Computing
  • Data Center
  • Parallel Computing
  • Virtualization
  • How Intugine Integrated the Nimble* Gesture Recognition Platform with Intel® RealSense™ Technology

    This paper highlights how Intugine (http://www.intugine.com/) enabled its gesture recognition platforms for Intel RealSense technology. It also discusses how the same methodology can be applied to other applications related to games and productivity applications.
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Intel® RealSense™ Technology
  • Windows*
  • Beginner
  • Intel® RealSense™ SDK
  • Intel® RealSense™ Technology
  • NUI
  • gesture
  • Intugine
  • Intugine Nimble
  • Newton 项目—— 智能家庭物联网控制完整解决方案

    Project Newton includes the connection of all main platforms (Intel® Core™ processor, Intel® Centrino* processor technology, Intel® Atom™ processor, ARM* mobile platforms) and all IoT platforms (Intel® Edison board, Intel® Galileo board, Raspberry*, Spark*, Mbed*, Freescale*, Arduino Uno*, etc.). Thus, Project Newton can connect platforms running all current mainstream OSs (Windows*, Linux*, Android*) and NonUI-OSs (Mbed*, Contiki*, RIOT*, Spark*, OpenWRT*, Yocto*, WindRiver*, VxWorks*, Raspbian*, etc.) in real time We use CoAP (Constrained Application Protocol), which is a software protocol intended to allow simple electronics devices to communicate interactively over the Internet. CoAP protocol, based on the RESTful framework, is converted into an HTTP protocol to build a smart gateway easily.
  • Professional
  • Android* OS
  • Arduino
  • Android*
  • Internet of Things
  • Intel® Atom™ Processor
  • 异构分布式系统上的有限差分

    Our building block is the FD compute kernels that are typically used for RTM (reverse time migration) algorithms for seismic imaging. The computations performed by the ISO-3DFD (Isotropic 3-dimensional finite difference) stencils play a major role in accurate imaging of complex subsurface structures in oil and gas surveys and exploration. Here we leverage the ISO-3DFD discussed in [1] and [2] and illustrate a simple MPI-based distributed implementation that enables a distributed ISO-3DFD compute kernel to run on a hybrid hardware configuration consisting of host Intel® Xeon® processors and attached Intel® Xeon Phi™ coprocessors. We also explore Intel® software tools that help to analyze the load balance to improve performance and scalability.
  • Linux*
  • Server
  • Modern Code
  • Message Passing Interface (MPI)
  • OpenMP*
  • seismic
  • RTM
  • stencil
  • 3D finite difference
  • distributed
  • Cluster Computing
  • Intel® Many Integrated Core Architecture
  • Optimization
  • Parallel Computing
  • Case Study: Implementing Intel® x86 Support for Android* with CRI Middleware

    Android* devices powered by the Intel® Atom™ processor are rising in popularity, and supporting applications are being released continuously. To meet the needs of application developers focused on creating games for Android devices with Intel Atom processors, middleware companies began supporting x86. One such company, CRI Middleware Co., Ltd., offers runtime library x86 support for Android middleware. It has done this by changing the build settings of the makefile in the Android NDK and replacing the ARM* NEON* instructions. Included in x86 support of the middleware runtime library for Android devices is a plug-in for Unity*, a game engine developed by Unity Technologies, which allows developers to build games by simply setting the x86 folder as the build target with the Android NDK.
  • Partners
  • Android* OS
  • Android*
  • Game Development
  • Porting
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