Category: Chip provider

Page 3 of 273 1 2 3 4 5 6 273

Atos Bull Sequana X1310 on Cavium ThunderX2 Dibona Supercomputer

Posted by Charbax – December 4, 2017

The Mont-Blanc European Exascale supercomputing project based on ARM power-efficient technology, using Cavium ThunderX2 ARM server processor to power its new High Performance Computing (HPC) prototype with HPC SW infrastructure for ARM with tools, code stacks and libraries and more. The ambition of the Mont-Blanc project is to define the architecture of an Exascale-class compute node based on the ARM architecture, and capable of being manufactured at industrial scale. The Mont-Blanc 3 system being built by a consortium which includes Atos, ARM, AVL (Austrian power train developer) and seven academic institutions, including the Barcelona Supercomputer Center (BSC), implements this ARM for HPC with high memory bandwidth and high core count on Cavium's custom ARMv8 core architecture with out-of-order execution that can run at 3 GHz. The ThunderX2 might be delivering twice the integer and floating point performance compared with ThunderX1 with also twice the memory bandwidth.

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

$79 Poplar Android TV Development Board by Hoperun on Hisilicon Hi3798CV200

Posted by Charbax – December 4, 2017

Poplar is the first development board compliant with the 96Boards Enterprise Edition TV Platform specification. Developed by HiSilicon, the board features the Hi3798C V200 with an integrated quad-core 64bit ARM Cortex A53 processor and high performance Mali-T720 GPU, making it capable of running any commercial set-top solution based on Linux or Android. Its high performance specification also supports a premium user experience with up to H.265 HEVC decoding of 4K video at 60 frames per second. It's available for $79 at Aliexpress.com

Thundersoft CTO Pengcheng Zou talks Open Source Automotive and more

Posted by Charbax – December 4, 2017

Thunder Software Technology Co., Ltd. is a smart device operating system and platform technology provider since 2008, providing smart device operating system solutions, speeding-up time to market for smart phone, IoT, automotive, robots, drones, cars, smart logistics, with years of R&D investment in mobile OS technology such as Android, Linux, Windows and HTML5, from the hard drive, operating system kernel, and middleware to upper application, and has accumulated extensive experience along with a large number of IP including protocol stack, deep learning, computer graphics techniques, operating system optimization, security solutions, etc.

Grant Likely’s Open Source Arcade based on 96Boards

Posted by Charbax – December 3, 2017

Grant Likely has built a custom video-game arcade machine with colorful control buttons and mouse for using with classic arcade game emulators, all Open Source and Open Hardware, with the source code up on GitHub with some links up at http://www.secretlab.ca/archives/240 you can also watch his Arcade assembly time lapse video. Filmed at the Linaro Connect San Francisco 2017.

Canonical shows EdgeX on ARM

Posted by Charbax – November 30, 2017

First demo of EdgeX on ARM in cross-host setup featuring Ubuntu Core and Ubuntu systems both running the EdgeX cluster. The Dell 5k Edge Gateway, based on Ubuntu Core Snappy, has been running the core EdgeX services (basically 11 out of 12) using the official Docker snap. The RPi3, based on Ubuntu, has been running EdgeX device virtual service.

The EdgeX Foundry Project is a vendor-neutral project launched by the Linux Foundation, aligned around a common goal: the simplification and standardization of the foundation for edge computing architectures in the Industrial IoT market, while still allowing the ecosystem to add significant value. The seed for the new project is a fully-functional, Alpha-grade edge platform based on over 125,000 lines of code donated by Dell with references to other open source projects and developed with feedback from their partners, customers, and even competitors. The EdgeX project has already garnered a diverse and experienced membership base of supporting companies that is continuing the development of the architecture and code base. The goals of EdgeX include to provide a flexible microservices architecture that can support the use of any combination of heterogeneous ingredients plugged into a common interoperability foundation, to be agnostic to hardware CPU (e.g., x86, ARM), OS (e.g., Linux, Windows, Mac OS), and application environment (e.g., Java, JavaScript, Python, Go Lang, C/C++) to support customer preferences for differentiation, to allow services to scale up and down based on device capability and use case and more.

Dell EMC Supercomputing, Machine and Deep Learning for Enterprise

Posted by Charbax – November 28, 2017

Dell EMC shows some of their latest machine and deep learning products for the Enterprise market, enabling enterprises to address opportunities in areas such as fraud detection, image processing, financial investment analysis, personalized medicine and more. The new Dell EMC PowerEdge C4140 Machine Learning and Deep Learning Ready Bundle accelerator-based platform for demanding cognitive workloads, powered by latest generation NVIDIA V100 GPU accelerators with PCIe and NVLink high-speed interconnect technology, two Intel Xeon Scalable Processors, to bring high performance computing (HPC) and data analytics capabilities to mainstream enterprises worldwide.

Dell EMC's Supercomputers power some of the fastest supercomputers in the world such as the one built for The Texas Advanced Computing Center (TACC) at The University of Texas at Austin, the “Stampede2” supercomputer with Intel Xeon Phi 7250 processors across 4,200 nodes connected with Intel Omni-Path Fabric, developed in collaboration with Dell EMC, Intel and Seagate and ranks No. 12 on the TOP500 list of the most powerful computer systems worldwide. Simon Fraser University’s “Cedar” supercomputer was built for big data, including artificial intelligence, with 146 Dell EMC PowerEdge C4130 servers with NVIDIA Tesla P100 GPUs. Canada’s most powerful academic supercomputer ranks No. 94 on the TOP500 and No. 13 on the Green500, helping researchers chart new territory across several areas such as to study the continually changing DNA code in bacteria.

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

Nvidia DGX Station, world’s most powerful desktop, a Supercomputer at the office

Posted by Charbax – November 28, 2017

Nvidia DGX Station is the world’s first and fastest personal supercomputer for leading-edge AI development at Supercomputing developers desk, it has the computing capacity of four server racks in a desk-friendly package, using less than one twentieth the power. It’s the only personal supercomputer with four Nvidia Tesla V100 GPUs, next generation Nvidia NVLink, and new Tensor Core architecture. DGX Station delivers 3X the training performance of today’s fastest workstations, with 480 TFLOPS of water cooled performance (3X Faster Than the Fastest Workstations) and FP16 precision. It's designed to be whisper quiet at one tenth the noise of other deep learning workstations, it’s designed for easy experimentation at the office.

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

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