ARM shows their HDR to SDR conversion processed with their adaptive local tone mapping engine to achieve a dynamic range compression to show HDR content at the highest quality on a regular SDR display. Filmed at the SID Display Week.
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.
Keynote at the Computex 2017 CPX Conference by Rene Haas, ARM President, Intellectual Property Group.
ARM Media Processing Group VP, GM and Fellow, Jem Davies announces the ARM Mali-G72 GPU for Machine Learning, VR & High Fidelity Mobile Gaming. 1 billion Mali-based chips were shipped in 2016, With 1.4x the performance of last year's ARM Mali-G71 GPU, 17% more performance in machine learning (ML) efficiency, for local offline GPU compute computer vision facilitated by ALU and data path improvements to reduce energy consumed by data movements with 25% higher energy efficiency and 20% better area efficiency, with multiple Bifrost optimizations including increased tile buffer memory, tiler scalability and L1 cache.
For faster ARM Powered laptops, smartphones, servers and more, Nandan Nayampally, GM & VP of ARM’s Compute Processing Group announces the ARM Cortex-A75 and ARM Cortex-A55, the new fastest performance, most power efficient ARM designs for high end performance and for mid-range to entry level processing, the first processors launched on ARM DynamIQ technology, designed from the ground up for AI improvements, low latency, acceleration connections, ARM Cortex-A75 delivers 50% improvement in raw integer performance, even greater gains for specialized workloads at given nanometer manufacturing, with these also working even better on newer smaller nanometer manufacturing making these all that faster. ARM Cortex-A75's new performance enables faster ARM Powered Laptops and Smartphones with faster performance and better power efficiency, also suitable for infrastructure (servers, networking, more) and self driving cars and other uses in the automotive industry. ARM Cortex-A55 provides the new LITTLE to Cortex-A75’s big, with 2.5x the power efficiency of its predecessor, bringing performance to the edge across a variety of applications and performance points from IOT edge gateways to mainstream. Combining the two new CPUs in a DynamIQ big.LITTLE cluster gives you multiple configurations, and specifically doubles performance in a 1+7 configuration for example.
Official video of the ARM Press Conference at Computex 2017 in Taipei
source: ARM Taiwan on Facebook
Enabling Trillions of ARM processors to be made cheaply to be embedded everywhere as envisioned by ARM owner Masayoshi Son, PlasticARM is an implementation of an ARM Cortex-M0 based 32-bit microprocessor SoC in plastic. Using PragmatIC’s technology, the flexible integrated circuit (FlexIC) is implemented in thin film metal oxides on a polymer substrate, with a total thickness of less than 10um. The latest version uses a 1um cell library, delivering a 10x improvement in footprint over the last 2 years, and significantly advancing the state-of-the-art in printed logic. PlasticARM demonstrates the potential for PragmatIC’s ultra-thin and ultra-low-cost plastic electronics to extend from smart packaging into areas such as wearables and security. You can read more about PragmatIC at http://pragmaticprinting.com This video was filmed at the IDTechEx Show!
You can watch the Keynote presentation by PragmatIC at IDTechEx here:
ARM is now 26 years old, this is my interview with Chris Turner, he was the first employee at Acorn Computers, who created the Acorn Archimedes, the BBC Micro and worked together with inventor and designer of the first ARM Processor Sophie Wilson who I interviewed here 1of3, 2of3, 3of3 and Steve Furber who I interviewed here and the co-founder CEO of Acorn Hermann Hauser who I interviewed here.
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.