Linaro CEO George Grey interview on the last day of the Linaro Connect in Budapest 2017, talking about Google joining Linaro as a club member, some of the latest developments at Linaro, the high amount of contributions from Linaro into Linux and open source, IoT, Servers, Mobile, Networking, Kernel, Gateways, Set-top-boxes, Smart TVs, Android, and a lot more. Other new Linaro members are HXT a joint venture between Qualcomm and the CHinese Government, Fujitsu with their new ARM Powered Supercomupter. You can watch George Grey's opening keynote at Linaro Connect Budapest 2017 here.
Socionext shows their new SC2A11 ARMv8 server SoC featuring 24 ARM Cortex-A53 cores and their SC2A20 Interconnect bridge. SC2A11 is a highly integrated low-power server system suitable for edge computing which processes data at the edge of the cloud in the IoT era. Large amount of data can be processed faster in memory by adopting the 64bit ARMv8 architecture. Up to 1536 cores can be configured in a system for uses such as web serving, indexing, cloud computing.
At Linaro Connect Budapest 2017, ARM and the Linaro LEG (Linaro Enterprise Group) team demonstrate Apache Ambari running on ARM servers. Apache Ambari is one of key Big Data components that provides an easy to use web interface to provision, manage and monitor Hadoop cluster and various other Big Data tools. In this demo Apache Ambari is running on 3 node cluster with Hadoop, YARN and Zookeeper, all on AARCH64 hardware.
With ARM servers getting into Datacenter, Linaro has been collaborating with ARM and ARM vendors in making sure Big data components work well in AARCH64 architecture. Porting and Building Apache Ambari on AARCH64 is one of the efforts the team has been working on apart from porting, building and benchmarking Hadoop, Spark, Hive, HBase and other Big data components. The team chose to showcase Apache Ambari as a high level component due to it being very intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs. Ambari provides a dashboard with metrics for CPU, Storage, memory utilization and also metrics for HDFS, MapReduce, Pig, Hive etc for monitoring Hadoop Cluster. It also provides step-by-step wizard for managing Hadoop Clusters (like adding nodes, taking down nodes, doing rolling upgrades, etc).
As of today, Ambari is officially supported only on X86 servers. The work team has done is to patch Ambari to work on AARCH64, which involved patching various dependencies like phantomjs, leveldb, leveldbjni java libaries, etc. Linaro is also part of ODPi organization (odpi.org), which has been working on standardizing Big Data. Ambari is part of ODPi's operations specs. The collaboration helps in speeding up upstreaming process since ODPi also has some of same maintainers as of ASF.
The work done for this demo is a PoC running in ARM lab (working on Linaro Dev Cloud at the mean time) and yet published.
This video features Eugene Xie ARM Principal Software Engineer & Tech lead of Workloads team of Enterprise Software, BSG, Ganesh Raju - Tech Lead, BigData team and Naresh Bhat, Cavium assignee to Linaro for BigData.
Displayed here is Marvell's broad range of network switch solutions running ARM processors. The first board uses dual-core ARM Cortex-A9. has 24x10Gbps Ethernet ports and two additional 40Gbps ports. Marvell's ARM CPUs come embedded with their security engine that allows for monitoring data activity. We also see their prosumer range meant for professional use, with support for a 10Gigabit port.
ATgames shows their ARM Powered video game streaming platform, streaming retro games and any game, their game broadcasting platform runs on the ARM Cortex-A15 server chip previously developed by Calxeda. The Zuma service client captures screenshots from a user which is then uploaded to their server. They also have on display the consoles, one being a handheld Sega/Atari console running on ARM Cortex-A7, and a Sega Genesis console running on ARM Cortex-A9. The company has apps for both Windows and Android.
Cavium, a fabless semiconductor company based in California, has on display here their Octeon TX 81XX board. It has a quad-core ARMv8 processor for embedded applications, going up to 24 cores. The demo setup consists of an IoT gateway, using temperature and humidity sensors. It can use Bluetooth, WiFi, or cellular data.
Jon Masters, Chief ARM Architect at RedHat and Yan Fisher, RedHat Hyperscale Platforms Product Marketing Lead, talk about the traction in the industry for the ARM Servers, where Red Hat talks about running the same unmodified OS on 10 different ARM SoC vendor's hardware, where Red Hat expects significant adoption in the next 12 months as customers ask for Linux on ARM, Red Hat can help these customers deploy, support and upgrade. As next generation better ARM Server solutions are getting ready to be deployed. ARM was talking about 20% of new servers by 2020 could be ARM Servers, Red Hat is bullish and thinks it could be higher.
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ThunderX2 is Cavium's Second generation ARM Server Processor product family providing one of the fastest 64bit ARMv8 Data Center & Cloud Processor, featuring high integration and high SoC performance on 14 Finfet process. With high performance custom fully out-of-order (OOO) cores, single and dual socket configurations, very high memory bandwidth, large memory capacity, integrated hardware accelerators, fully virtualized core and IO, scalable Ethernet fabric and feature rich I/O’s supporting 25Gbps. The ThunderX2 family includes multiple Workload Optimized SKUs that enable servers & appliances that are optimized for compute, storage, network and secure compute workloads in the cloud. The ThunderX2 processor family is fully compliant with ARMv8 architecture specifications as well as ARM’s SBSA. ThunderX2 scales up to 54 cores with up to 3.0 GHz core frequency, fully cache coherent across dual sockets using Cavium Coherent Processor Interconnect (CCPI™) offering the largest integrated I/O capacity with 100s of Gigabits of I/O bandwidth using integrated 25Gbps SerDes, Six DDR4 72 bit memory controllers capable of supporting 3200 MHz memories with 1+TB of memory in a dual socket configuration, Hundreds of integrated hardware accelerators for security, storage, networking and virtualization applications, Fabric for interconnectivity of nodes supporting SLA enforcements with awareness and policy enforcement for virtual networks, Virtualization everywhere with Cavium virtSOC technology – Full system level low latency virtualization solution from core to I/O. Support for PCIe Gen3 x16 along with integrated 10/25/40/50/100GbE and SATAv3 ports and more.
Ambedded provides an ARM Micro Server solution for Software Defined Storage, distributed Cloud Storage/Computing integrated to lower the cost of energy, hardware and management for datacenter and enterprise. Ambedded's architecture uses one Marvell Armada 385 Dual-core ARM Cortex-A9 based micro server, 2GB RAM, 2.5Gbit Ethernet, 6Gbit/s SATA, 8GB Flash for each hard drive which enables unlimited scalability to scale out compute power, network bandwidth and storage capacity. Ambedded's software defined storage solution is supported by Ceph and GlusterFS to offer unified scale out storage solution for object storage, block storage and file sharing system. Ambedded's ARM microserver product can also potentially to be used for various distributed applications such as web service, content delivery, NoSQL and big data analysis. Filmed in 4K using Sony AX53