intel News - Page 21 of 45 - CNX Software

June 19, 2017June 20, 2017 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

Intel Issues End-of-Life Notices for Galileo / Galileo 2, Edison and Joule Boards & Modules

While I’m not sure many of my readers are using them, Intel introduced several IoT development kits and modules over the years, with products like Intel Galileo, followed by Galileo 2, Edison module development board all based on Quark processors, and more recently Intel Joule modules powered by Intel Atom T550x / T570x processors. The three boards / modules and corresponding modules will soon be no more, as Intel issues three end-of-life (EOL) notices for: Intel Galileo Board, and Intel Galileo Gen2 Board Products – PDF Select Intel Edison Compute Module, Intel Edison Breakout Board, Intel Edison Kit for Arduino, and Intel Edison Breakout Board Kit Products – PDF Intel Joule 570x Compute Module, Intel Joule 550x Compute Module, Intel Joule 570x Developer Kit and, Intel Joule 550x Developer Kit Products – PDF All three follow the same “forecasted key milestones”: June 16, 2017 – Product Discontinuance Program Support Begins […]

May 29, 2017 by Jean-Luc Aufranc (CNXSoft) - No Comments

Intel DLIA is a PCIe Card Powered by Aria 10 FPGA for Deep Learning Applications

Intel has just launched their DLIA (Deep Learning Inference Accelerator) PCIe card powered by Intel Aria 10 FPGA, aiming at accelerating CNN (convolutional neural network) workloads such as image recognition and more, and lowering power consumption. Some of Intel DLIA hardware specifications: FPGA – Intel (previously Altera) Aria 10 FPGA @ 275 MHz delivering up to 1.5 TFLOPS System Memory – 2 banks 4G 64-bit DDR4 PCIe – Gen3 x16 host interface; x8 electrical; x16 power & mechanical Form Factor – Full-length, full-height, single wide PCIe card Operating Temperature – 0 to 85 °C TDP – 50-75Watts hence the two cooling fans The card is supported in CentOS 7.2, and relies on Intel Caffe framework, Math Kernel library for Deep Neural Networks (MKL-DNN), and works with various network topologies (AlexNet, GoogleNet, CaffeNet, LeNet, VGG-16, SqueezeNet…). The FPGA is pre-programmed with Intel Deep Learning Accelerator IP (DLA IP). Intel DLIA can […]

May 29, 2017May 30, 2017 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Intel Compute Card Apollo Lake and Kaby Lake SKUs, Block Diagrams, and Specifications

Intel Compute cards are the latest ultra-thin CPU cards introduced by Intel at the beginning of the year, with a concept similar to EOMA68 CPU cards, that it to allow CPU card upgrades or replacements, and interoperability across compatible devices such as smart kiosks, IoT gateways, and so on. But at the time, Intel did not reveal that many details about the different cards, although we know NexDock is working on laptop dock compatible with Intel Compute Cards. But I’ve recently received some block diagrams for Apollo Lake Pentium/Celeron, and Kaby Lake Core M/Core i5 compute cards.There will two SKUs for Apollo Lake compute cards sharing the same specifications, except for the processor: SoC CD1C64GK SKU – Intel Celeron N3450 quad core processor @ 1.1 / 2.2 GHz (base/turbo) with 12EU Intel HD Graphics Gen9; 7.5W TDP CD1P64GK SKU – Intel Pentium N4200 quad core processor @ 1.1 / 2.5 GHz […]

May 25, 2017 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Intel To Make Thunderbolt 3 Royalty-free, Release Specifications

Intel Thunderbolt 3 is a single port connect that supports multiple standards (Thunderbolt, USB 3.1, DisplayPort, PCIe), leverages USB-C connector, and offers up to 40 Gbps throughput. So far, it’s mostly found in higher end computers and laptops, but Intel has now announced plans to make it royalty-free, and “release the specifications to the industry” (so maybe not completely free/public) in order to increase adoption of the standard. Thunderbolt-3 main features: Thunderbolt, USB, DisplayPort, and power on USB-C USB-C connector and cables (small, reversible) 40 Gbps Thunderbolt 3 – double the speed of Thunderbolt 2 Bi-directional, dual-protocol (PCI Express and DisplayPort) 4 lanes of PCI Express Gen 3 8 lanes of DisplayPort 1.2 (HBR2 and MST) Supports two 4K displays (4096 x 2160 30bpp @ 60 Hz) USB 3.1 (10 Gbps) – compatible with existing USB devices and cables DisplayPort 1.2 – compatible with existing DisplayPort displays, devices, and cables […]

May 24, 2017May 24, 2017 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

ARM Chromebooks Run Android Apps Better, Exhibit Longer Battery Life than Intel Chromebooks (Study)

Google has been working on supporting Android apps and the Play Store on Chromebooks, which are normally sold with either ARM or Intel processors. So the ability to run Android apps well is one of the things to consider before purchasing a Chromebook. Shrout Research has published a paper entitled “Chromebook Platform Choice Important for Android App Performance” comparing an Acer Chromebook R13 with a Mediatek MT8173C ARM Cortex A72/A53 processor to Acer Chromebook R11 with an Intel Celeron N3060. The Intel Chromebook has a smaller resolution so this could be an advantage, so less resources are needed to update the display. However, the ARM processor is significantly more powerful than the Intel one according to GeekBench results, and Chromebook R13 is sold for $399 on Amazon US, while Chromebook R11 goes for $299 (and lower during promotions). So it’s not a perfect comparison, but it should give an idea […]

May 22, 2017May 22, 2017 by Jean-Luc Aufranc (CNXSoft) - No Comments

$399 Intel Euclid Robotics Devkit Runs Ubuntu & ROS on Intel Atom x7-Z8700 Processor

We’ve seen many mini PC based on Intel Atom x5/x7 “Cherry Trail” processor in the last year, but Intel has also integrated their low power processor into hardware aimed at robotics, such as Intel RealSense development kit based on Atom x5 UP Board and RealSense R200 depth camera. The company has now launched its one-in-all Intel Euclid development kit combining Atom X7-Z8700 processor with a RealSense camera in a single enclosure. Intel Euclid specifications: SoC – Intel Atom x7-Z8700 Cherry Trail quad core processor @ up to 2.4GHz with Intel HD Graphics Gen 8 System Memory – 4GB LPDDR3-1600 Storage – 32GB eMMC 5.0 flash, Micro SD slot up to 128GB Video Output – micro HDMI port up to 4K @ 30 Hz Audio – 2x I2S interfaces, 1W mono speaker, 3x DMIC with noise cancellation Camera – Intel RealSense ZR300 camera RGB camera – 2MP up to 1080p@30fps, 16:9 […]

April 5, 2017 by Jean-Luc Aufranc (CNXSoft) - No Comments

Embedded Systems Conference 2017 Schedule – May 3-4

The Embedded Systems Conference 2017 will take place over two days in Boston, US on May 3-4, and the organizers have published the schedule of the event. Even if you’re not going to attend, you’ll often learn something or find new information by just checking out the talks and abstracts, so I’ve created my own virtual schedule with some of the most interesting sessions. Wednesday, May 3rd 08:00 – 08:45 – Combining OpenCV and High Level Synthesis to Accelerate your FPGA / SoC EV Application by Adam Taylor, Adiuvo Engineering & Training Ltd This session will demonstrate how you can combine commonly used Open source frameworks such as OpenCV with High Level Synthesis to generate a embedded vision system using FPGA / SoC. The combination of OpenCV and HLS allows for a much faster algorithm development time and consequently a faster time to market for the end application. 09:00 – 09:45 […]

March 30, 2017 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Intel: My 10nm Process is Denser Than Yours

Process technology is important as the lower the process node, the more efficient the processor becomes, which leads to either longer battery life for the same tasks on battery powered devices, or allows for higher frequencies extracting more performance. Qualcomm and Samsung recently announced Snapdragon 835 SoC was manufactured using 10nm process technology, but Mark Bohr, an Intel Senior Fellow and director of process architecture and integration at Intel Corporation. wrote a blog post explaining that while in the past process node size and density were progressing in a “linear” fashion, this is not the case anymore, as marketing has changed, and some companies advance node names, even in cases where there’s minimal or no density increase. The chart above implies that some companies 10nm process is barely better than Intel’s 14 nm process, with their 10nm process capable of integrating about twice as much transistors per square millimeter compare […]