Category: Chip provider

Page 1 of 270 1 2 3 4 270

Fujitsu Post-K ARM Supercomputer, Exascale by 2021

Posted by Charbax – November 20, 2017

Fujitsu is developing a very powerful ARM processor for its Post-K exascale supercomputer, to have a much wider impact on the HPC market than just a single system. Riken, Japan’s largest and most prestigious scientific research institute, will be the recipient of the Post-K system. This HPC optimized ARM processor design is being done in collaboration with ARM integrating SVE (Scalable Vector Extension), extending the vector processing capabilities associated with AArch64 (64bit) execution in the ARM architecture, enabling implementation choices for vector lengths that scale from 128 to 2048 bits, enabling High Performance Scientific Compute featuring advanced vectorizing compilers to extract more fine-grain parallelism from existing code to reduce software deployment effort. SVE also supports a vector-length agnostic (VLA) programming model that can adapt to the available vector length. When the Post-K Supercomputer is ready, which may be around 2020-2022, and if it lives up to its near-exascale performance promise, it will be eight times faster than today's most powerful supercomputer in the world, China's Sunway TaihuLight. The Post-K system will be used to model climate change, predict disasters, develop drugs and fuels, and run other scientific simulations. The Fujitsu Post-K ARM processors are likely to be 10nm FinFET chips fabricated by TSMC, and will feature high-bandwidth memory and the Tofu 6D interconnect mesh that was developed for the original K Supercomputer.

Filmed in 4K60 at Supercomputing 2017 in Denver using Panasonic GH5 ($1999 at Amazon.com) on firmware 2.1 (aperture priority, AF continuous tracking) with Leica 12mm f1.4 ($1297 at Amazon.com) with Sennheiser MKE440 stereo shotgun microphone ($325 at Amazon.com), get $25 off renting cameras and lenses with my referral link at https://share.lensrentals.com/x/wWbHqV

Cray ARM Supercomputer with Cavium ThunderX2 in GW4 Isambard with Simon McIntosh-Smith

Posted by Charbax – November 19, 2017

Cray announces the world’s first production-ready ARM Powered supercomputer based on the Cavium ThunderX2 64bit ARMv8-A processor, added to the Cray XC50 supercomputer enabling the world’s most flexible supercomputers, available in both liquid-cooled cabinets and air-cooled cabinets, to be available in the second quarter of 2018. Featuring a full software environment, including the Cray Linux Environment, the Cray Programming Environment, and ARM-optimized compilers, with ARM's upcoming SVE technology as the most efficient path to achieving the vision of exascale, ARM libraries, and tools for running today’s supercomputing workloads, with the Cray Aries interconnect. Cray's enhanced compilers and programming environment achieves more performance out of the Cavium ThunderX2 processors, up to 20 percent faster performance compared with other public domain ARMv8 compilers such as LLVM and GNU.

Cray is currently working with multiple supercomputing centers on the development of the ARM-based supercomputing systems, including various labs in the United States Department of Energy and the GW4 alliance, a coalition of four leading, research-intensive universities in the UK. Through an alliance with Cray and the Met Office in the UK, GW4 is designing and building “Isambard,” an Arm-based Cray XC50 supercomputer. The GW4 Isambard project aims to deliver the world’s first Arm-based, production-quality HPC service. My video includes an interview with Professor Simon McIntosh-Smith from the University of Bristol who says that Ease of use, robustness, and performance, are all critical for a production service, and their early experiences with Cray’s ThunderX2 systems and end-to-end ARM software environment are very promising. All of the real scientific codes they’ve tried so far have worked out of the box, and they’re also seeing performance competitive with the best in class. Having access to Cray’s optimized HPC software stack of compilers and libraries in addition to all of the open-source tools has been a real advantage.

Filmed in 4K60 at Supercomputing 2017 in Denver using Panasonic GH5 ($1999 at Amazon.com) on firmware 2.1 (aperture priority, AF continuous tracking) with Leica 12mm f1.4 ($1297 at Amazon.com) with Sennheiser MKE440 stereo shotgun microphone ($325 at Amazon.com), get $25 off renting cameras and lenses with my referral link at https://share.lensrentals.com/x/wWbHqV

Cavium ThunderX2 production systems now available

Posted by Charbax – November 18, 2017

Cavium announces ThunderX2 ARM Server systems now available for customers in server and high performance Supercomputing, partners include Bull/Atos, Cray, Gigabyte, Penguin, Ingrasys/Foxconn and HPE. After 7 years of work by partners in the ARM Server ecosystem (and 7 years of my ARM Server video-blogging), now is finally the time high performance ARM Server systems are launched for cloud computing, high performance computing markets worldwide. The Cavium ThunderX2 server SoC integrates fully out-of-order, high-performance custom cores supporting single and dual-socket configurations. ThunderX2 is optimized to drive high computational performance delivering outstanding memory bandwidth and memory capacity. The new line of ThunderX2 processors includes multiple SKUs for both scale up and scale out applications and is fully compliant with Armv8-A architecture specifications as well as the Arm Server Base System Architecture and Arm Server Base Boot Requirements standards.

ThunderX2 SoC family is supported by a comprehensive software ecosystem ranging from platform level systems management and firmware to commercial Operating Systems, Development Environments and Applications. Cavium has actively engaged in server industry standards groups such as UEFI and delivered numerous reference platforms to a broad array of community and corporate partners. Cavium has also demonstrated its leadership role in the Open Source software community driving upstream kernel enablement and toolchain optimization, actively contributing to Linaro’s Enterprise and Networking Groups, investing in key Linux Foundation projects such as DPDK, OpenHPC, OPNFV and Xen and sponsoring the FreeBSD Foundation’s Armv8 server implementation.

Filmed in 4K60 at Supercomputing 2017 in Denver using Panasonic GH5 ($1999 at Amazon.com) on firmware 2.1 (aperture priority, AF continuous tracking) with Leica 12mm f1.4 ($1297 at Amazon.com) with Sennheiser MKE440 stereo shotgun microphone ($325 at Amazon.com), get $25 off renting cameras and lenses with my referral link at https://share.lensrentals.com/x/wWbHqV

HPE unveils The Machine, Apollo 70, Cavium ThunderX2 ARM HPC Supercomputing platforms

Posted by Charbax – November 17, 2017

HP Enterprise unveils their HPC optimized Cavium ThunderX2 ARM Powered High Performance Computing platforms, the Apollo 70 is a disruptive ARM HPC processor technology with maximum memory bandwidth, familiar management and performance tools, and the density and scalability required for large HPC cluster deployments. And then HPE Labs unveils The Machine which is also powered by a Cavium ThuderX2, it is HPE's vision for the future of computing as by 2020, one hundred billion connected devices will generate far more demand for computing than today's infrastructure can accommodate.

The Machine is a custom-built device made for the era of big data. HPE says it has created the world’s largest single-memory computer. The R&D program is the largest in the history of HPE, the former enterprise division of HP that split apart from the consumer-focused division. If the project works, it could be transformative for society. But it is no small effort, as it could require a whole new kind of software. HPE's prototype can accomodate up to 160 terabytes of memory, capable of simultaneously working with the data held in every book in the Library of Congress five times over — or approximately 160 million books. According to HPE, it has never been possible to hold and manipulate whole data sets of this size in a single-memory system, and this is just a glimpse of the immense potential of Memory-Driven Computing. Following the GenZ Consortium's vision, based on the current prototype, HPE expects the architecture can scale to an exabyte-scale single-memory system and, beyond that, to a nearly limitless pool of memory — 4,096 yottabytes. For context, that is 250,000 times the entire digital universe today. With that amount of memory, HPE said it will be possible to simultaneously work with every digital health record of every person on earth, every piece of data from Facebook, every trip of Google’s autonomous vehicles, and every data set from space exploration all at the same time — getting to answers and uncovering new opportunities at unprecedented speeds.

Filmed in 4K60 at Supercomputing 2017 in Denver using Panasonic GH5 ($1999 at Amazon.com) on firmware 2.1 (aperture priority, AF continuous tracking) with Leica 12mm f1.4 ($1297 at Amazon.com) with Sennheiser MKE440 stereo shotgun microphone ($325 at Amazon.com), get $25 off renting cameras and lenses with my referral link at https://share.lensrentals.com/x/wWbHqV

Cerevo VR Shoes, Robot Projector, Robot Lamp, IoT

Posted by juliusaugustus – November 7, 2017

Cerevo is a company that was founded in 2008 that specializes in niche IOT products. Cerevo adds shoes to the virtual reality experience. The Shoes enable easier movement with VR applications.  The shoes also enable a more tactile experience and can send sensations to your feet. The VR shoes should range from $800-$1200. The Cerevo Tipron projector is a Robot with a built in projector that moves around on wheals. The Projector robot costs $2299 and offers a display size of up to 80" with 1280x720 resolution. The lumigent is a robotic voice activated desk lamp. Lumigent technology is integrated into other devices such as cameras, bicycles and other IOT applications.

Arrow shows Dragonboard 410c Development Board

Posted by juliusaugustus – November 7, 2017

Arrow shows the Dragonboard 410c, a Qualcomm Snapdragon based development platform for IOT and industrial platforms. The 410c is based upon a Qualcomm Snapdragon 410E (Quad Core Cortex A53 and Qualcomm Adreno 306), has 1gb of ram and 8gb flash storage plus sd expansion. The 410c supports Android 5.1 (Lollipop) on Linux Kernel 3.10, Linux based on Debian 8.0,Open Embedded, Ubuntu Core, and Windows 10 IoT Core. The 410c in terms of connectivity has a ; One 40-pin low speed expansion connector: UART, SPI, I2S, I2C x2, GPIO x12, DC power; HDMI Full-size Type A connector, one micro USB (device mode only), two USB 2.0 (host mode only), micro SD card slot; 60-pin high speed expansion connector: 4L MIPI-DSI, USB, I2C x2, 2L+4L MIPI-CSI and Footprint for one optional 16-pin analog expansion connector for stereo headset/line-out, speaker and analog line-in.

Daqri Smart Helmet with Augmented Reality

Posted by juliusaugustus – November 7, 2017

Daqri is a company which produces information technology for industrial uses. The Daqri Smart Helmet is a VR/AR helmet for industrial applications that uses 360-degree navigation cameras to analyze environments. Augmented reality can provide detailed information about work that is going on at a glance. The Smart helmet runs Ubuntu Linux and is based upon an Intel Core M7 processor, Intel realsense cameras, and offers 720p projection for each eye.

ARM Innovation Ecosystem Accelerator (ARM Accelerator)

Posted by Charbax – October 12, 2017

ARM Innovation Ecosystem Accelerator (“ARM Accelerator”) is an international global startup accelerator recruitment network in Mainland China, UK, U.S, Israel, Canada, France, Hong Kong, and Taiwan area, helping startups accelerate development in areas such as VR/AR, Robotics/AI, Smart Car, Smart Healthcare, Smart Home, Smart City. ARM Accelerator is an innovation and acceleration platform featured among ARM's ecosystem. ARM Accelerator focuses on smart hardware and IoT ecosystem. The core advantage of ARM Accelerator is to create an one-stop platform for China and overseas startups and integrates the world-leading IC design companies and scarce, high-value labs to provide the customers all kinds of incubation and acceleration services, such as professional technology consulting, design service, and global promotion and investment matchmaking.

Nvidia DRIVE PX Pegasus board for self-driving cars has 2 Octa-core ARM SoCs with 512-core CUDA GPU and 2 discreet GPUs for a total of 320 Billion calculations per second

Posted by Charbax – October 11, 2017

Nvidia DRIVE PX Pegasus board is launched for self-driving cars which includes two ARM SoCs each feature Octa-core Nvidia Xavier Custom ARM processors with Volta 512-core CUDA GPU which supports up to 8K video encode and decode, 7Billion transistors each ARM SoC built on TSMC 16nm FinFET+ with also two next-generation discrete GPUs separately on the board with hardware created for accelerating deep learning and computer vision algorithms, the 4 chips on the board can compute 320 Billion calculations per second with an overall 1TB per second memory bandwidth.

Read more:
http://www.marketwired.com/press-release/nvidia-announces-worlds-first-ai-computer-to-make-robotaxis-a-reality-nasdaq-nvda-2236493.htm
https://www.nvidia.com/en-us/self-driving-cars/drive-px/
https://arstechnica.com/cars/2017/10/nvidias-drive-px-pegasus-is-its-newest-self-driving-supercomputer/
https://www.theverge.com/2017/10/10/16449416/nvidia-pegasus-self-driving-car-ai-robotaxi
https://www.engadget.com/2017/10/10/nvidia-introduces-a-computer-for-level-5-autonomous-cars/

Jon Masters, Red Hat Chief ARM Architect at Linaro Connect San Francisco 2017

Posted by Charbax – October 10, 2017

Jon Masters says Moores Law may have come to an end and that single threaded performance is not defining the industry anymore because it's not increasing at the same rate that it used to. What is defining the future of the industry is machine learning, accelerators, lots of additional workload optimization that is happening outside of the core. Thus he believes ARM has an opportunity to get into the mainstream server space in the next 12-18 months with the newest powerful ARM Server solutions such as the Cavium ThunderX2 and the Qualcomm Centriq 2400. You can see some of my previous Jon Masters interviews over the past 5 years here.